Datasets:

sazirarrwth99

/

kangoroo_training_dataset

like 0

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'Mosque': {'label': 'mosque', 'comment': 'A mosque, sometimes spelt mosk, is a place of worship for followers of Islam.'}, 'Desert': {'label': 'Desert', 'comment': 'Barren land where there is less rain.'}, 'MilitaryStructure': {'label': 'military structure', 'comment': 'A military structure such as a Castle, Fortress, Wall, etc.'}, 'MilitaryUnit': {'label': 'military unit', 'comment': '-'}, 'Fort': {'label': 'fort', 'comment': 'Fortified place, most of the time to protect traffic routes'}} Available Properties: {'GeopoliticalOrganisation/areaMetro': {'label': 'original title', 'description': 'The original title of the work, most of the time in the original language as well DataTypeProperty'}, 'PopulatedPlace/areaUrban': {'label': 'certification', 'description': 'No description available DataTypeProperty'}, 'administrativeHeadCity': {'label': 'ICAO code', 'description': 'ICAO designation for airline companies DataTypeProperty'}, 'aircraftFighter': {'label': 'gini coefficient as of', 'description': 'No description available DataTypeProperty'}, 'aircraftHelicopterAttack': {'label': 'gnis code', 'description': 'No description available DataTypeProperty'}, 'aircraftPatrol': {'label': 'gold medal mixed', 'description': 'No description available DataTypeProperty'}, 'aircraftTransport': {'label': 'governorate', 'description': 'No description available DataTypeProperty'}, 'areaUrban': {'label': 'area urban (km2)', 'description': 'No description available DataTypeProperty'}, 'city': {'label': 'illiteracy', 'description': 'No description available DataTypeProperty'}, 'collectionSize': {'label': 'diseasesDb', 'description': 'No description available DataTypeProperty'}, 'country': {'label': 'eye colour', 'description': 'No description available DataTypeProperty'}, 'deFactoLanguage': {'label': 'certification', 'description': 'No description available DataTypeProperty'}, 'governmentCountry': {'label': 'boiling point (K)', 'description': 'No description available DataTypeProperty'}, 'language': {'label': 'legend thumbnail localization', 'description': 'No description available DataTypeProperty'}, 'leader': {'label': 'number of all MuscialArtist playing the style', 'description': 'No description available DataTypeProperty'}, 'leaderName': {'label': 'original title', 'description': 'The original title of the work, most of the time in the original language as well DataTypeProperty'}, 'leaderParty': {'label': 'election majority', 'description': 'number of votes the office holder attained DataTypeProperty'}, 'locationCity': {'label': 'date of latest election', 'description': 'No description available DataTypeProperty'}, 'militaryBranch': {'label': 'law country', 'description': 'No description available DataTypeProperty'}, 'militaryUnit': {'label': 'Active Cases', 'description': 'وبائی مرض میں فعال کیسوں کی تعداد DataTypeProperty'}, 'originalLanguage': {'label': 'lchf draft year', 'description': 'No description available DataTypeProperty'}, 'outskirts': {'label': 'certification', 'description': 'No description available DataTypeProperty'}} Subgraph:[array(['Fuad_Masum', 'birthPlace', 'Koy_Sanjaq'], dtype=object) array(['Kurdish_languages', 'spokenIn', 'Armenia'], dtype=object) array(['Kurdish_languages', 'spokenIn', 'Syria'], dtype=object) array(['Kurdish_languages', 'spokenIn', 'Anatolia'], dtype=object) array(['Al-Taqaddum_Air_Base', 'city', 'Iraq'], dtype=object) array(['Al-Taqaddum_Air_Base', 'location', 'Habbaniyah'], dtype=object) array(['Kurdish_languages', 'spokenIn', 'Kurdish_diaspora'], dtype=object) array(['Iran', 'largestCity', 'Tehran'], dtype=object) array(['Fallujah', 'country', 'Iraq'], dtype=object) array(['Koy_Sanjaq', 'country', 'Iraq'], dtype=object) array(['Turkey', 'largestCity', 'Istanbul'], dtype=object) array(['Kurdish_languages', 'spokenIn', 'Azerbaijan'], dtype=object) array(['Al-Taqaddum_Air_Base', 'city', 'Al_Fallujah'], dtype=object) array(['Kurdish_languages', 'spokenIn', 'Iran'], dtype=object) array(['Syria', 'largestCity', 'Damascus'], dtype=object) array(['Kurdish_languages', 'spokenIn', 'Iraq'], dtype=object) array(['Kurdish_languages', 'spokenIn', 'Kurdistan'], dtype=object) array(['Armenia', 'largestCity', 'Capital_city'], dtype=object) array(['Anatolia', 'location', 'Western_Asia'], dtype=object) array(['Kurdish_languages', 'spokenIn', 'Khorasan_Province'], dtype=object) array(['Fuad_Masum', 'birthPlace', 'Kingdom_of_Iraq'], dtype=object) array(['Kurdish_languages', 'spokenIn', 'Turkey'], dtype=object) array(['Kurdish_languages', 'spokenIn', 'Caucasus'], dtype=object) array(['Iraq', 'largestCity', 'Capital_city'], dtype=object)]Text: Al-Taqaddum Air Base serves the city of Fallujah, which is in Iraq, where Fuad Masum is the leader and the Kurdish languages are spoken. bot:[('Al-Taqaddum_Air_Base', 'city', 'Fallujah'), ('Fallujah', 'country', 'Iraq'), ('Iraq', 'language', 'Kurdish_languages'), ('Iraq', 'leader', 'Fuad_Masum'), ('Iraq', 'type', 'Country'), ('Fallujah', 'type', 'City')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'Song': {'label': 'song', 'comment': '-'}, 'SongWriter': {'label': 'songwriter', 'comment': 'a person who writes songs.'}, 'NationalAnthem': {'label': 'National anthem', 'comment': 'Patriotic musical composition which is the offcial national song.'}, 'Album': {'label': 'album', 'comment': '-'}, 'Singer': {'label': 'Singer', 'comment': 'a person who sings.'}} Available Properties: {'abbeychurchBlessing': {'label': 'abbey church blessing', 'description': 'No description available DataTypeProperty'}, 'album': {'label': 'human development index as of', 'description': 'No description available DataTypeProperty'}, 'anthem': {'label': 'gross domestic product (GDP)', 'description': 'The nominal gross domestic product of a country (not per capita). DataTypeProperty'}, 'beatifiedBy': {'label': 'element group', 'description': 'In chemistry, a group (also known as a family) is a column of elements in the periodic table of the chemical elements. DataTypeProperty'}, 'composer': {'label': 'hair colour', 'description': 'No description available DataTypeProperty'}, 'finalLostSingle': {'label': 'final lost single', 'description': 'No description available DataTypeProperty'}, 'lyrics': {'label': 'launch', 'description': 'No description available DataTypeProperty'}, 'musicBy': {'label': 'national championship', 'description': 'No description available DataTypeProperty'}, 'musicComposer': {'label': 'national team match point', 'description': 'No description available DataTypeProperty'}, 'musicalArtist': {'label': 'weight (kg)', 'description': 'No description available DataTypeProperty'}, 'royalAnthem': {'label': 'egafd id', 'description': 'No description available DataTypeProperty'}, 'silverMedalSingle': {'label': 'silver medal single', 'description': 'No description available DataTypeProperty'}, 'titleSingle': {'label': 'title single', 'description': 'No description available DataTypeProperty'}, 'wimbledonSingle': {'label': 'wimbledon single', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Heavy_metal_music', 'musicFusionGenre', 'Progressive_metal'], ['Folk_rock', 'musicSubgenre', 'British_folk_rock'], ['Punk_rock', 'musicFusionGenre', 'Grebo_(music)'], ['Rock_music', 'musicSubgenre', 'Roots_rock'], ['Indie_rock', 'musicFusionGenre', 'New_rave'], ['Heavy_metal_music', 'musicFusionGenre', 'Neoclassical_metal'], ['Punk_rock', 'musicFusionGenre', 'Deathrock'], ['Heavy_metal_music', 'musicFusionGenre', 'Deathcore'], ['Country_rock', 'musicFusionGenre', 'West_Coast_country'], ['John_Fogerty', 'recordLabel', 'Warner_Bros._Records'], ['Rock_music', 'musicSubgenre', 'Post-punk'], ['Progressive_rock', 'musicFusionGenre', 'Progressive_metal'], ['Punk_rock', 'musicFusionGenre', 'Grunge'], ['Post-punk', 'musicFusionGenre', 'Post-punk_revival'], ['Heavy_metal_music', 'musicFusionGenre', 'Rap_metal'], ['Rock_music', 'musicFusionGenre', 'Folk_rock'], ['Rock_music', 'musicFusionGenre', 'Sufi_rock'], ['Industrial_rock', 'musicFusionGenre', 'Industrial_metal'], ['Punk_rock', 'musicFusionGenre', 'Garage_punk_(fusion_genre)'], ['Rock_music', 'musicSubgenre', 'Occult_rock'], ['Heavy_metal_music', 'musicFusionGenre', 'Sludge_metal'], ['Rock_music', 'musicSubgenre', 'Art_rock'], ['John_Fogerty', 'recordLabel', 'BMG_Rights_Management'], ['Heavy_metal_music', 'musicFusionGenre', 'Nu_metal'], ['Rock_music', 'musicSubgenre', 'Post-rock'], ['Proud_Mary', 'writer', 'John_Fogerty'], ['Heavy_metal_music', 'musicFusionGenre', 'Funk_metal'], ['Rock_music', 'musicFusionGenre', 'Reggae_rock'], ['Heavy_metal_music', 'musicFusionGenre', 'Alternative_metal'], ['Roots_rock', 'musicSubgenre', 'Heartland_rock'], ['Electronic_rock', 'musicSubgenre', 'Neon_pop'], ['Electronic_rock', 'musicSubgenre', 'Indietronica'], ['Heavy_metal_music', 'musicFusionGenre', 'Post-metal'], ['Electronic_rock', 'musicSubgenre', 'Post-rock'], ['John_Fogerty', 'genre', 'Country_rock'], ['Alternative_rock', 'musicFusionGenre', 'Alternative_dance'], ['Rock_music', 'musicSubgenre', 'Hard_rock'], ['Psychedelic_rock', 'musicFusionGenre', 'Psychedelic_pop'], ['Punk_rock', 'musicFusionGenre', 'Folk_punk'], ['Post-punk', 'musicFusionGenre', 'Post-hardcore'], ['Rock_music', 'musicSubgenre', 'Soft_rock'], ['Glam_rock', 'musicFusionGenre', 'Glam_metal'], ['Rock_music', 'musicFusionGenre', 'Baroque_pop'], ['Rock_music', 'musicFusionGenre', 'Rap_rock'], ['John_Fogerty', 'genre', 'Roots_rock'], ['Heavy_metal_music', 'musicFusionGenre', 'Industrial_metal'], ['Rock_music', 'musicFusionGenre', 'Country_rock'], ['Folk_rock', 'musicSubgenre', 'Indie_folk'], ['Folk_rock', 'musicSubgenre', 'Medieval_folk_rock'], ['Rock_music', 'musicFusionGenre', 'Jazz_rock'], ['Rock_music', 'musicSubgenre', 'Indie_rock'], ['Indie_rock', 'musicFusionGenre', 'Indie_folk'], ['Heavy_metal_music', 'musicFusionGenre', 'Folk_metal'], ['Glam_rock', 'musicFusionGenre', 'Glam_punk'], ['Psychedelic_rock', 'musicFusionGenre', 'Psychedelic_funk'], ['Heavy_metal_music', 'musicFusionGenre', 'Stoner_rock'], ['Rock_music', 'musicSubgenre', 'Power_pop'], ['Rock_music', 'musicFusionGenre', 'Blues_rock'], ['Punk_rock', 'musicFusionGenre', 'Pop_punk'], ['Psychedelic_rock', 'musicFusionGenre', 'Stoner_rock'], ['Punk_rock', 'musicFusionGenre', '2_Tone_(music_genre)'], ['Punk_rock', 'musicFusionGenre', 'Ska_punk'], ['Roots_rock', 'musicFusionGenre', 'Cowpunk'], ['John_Fogerty', 'genre', 'Rock_and_roll'], ['Rock_music', 'musicFusionGenre', 'Noise_rock'], ['Indie_rock', 'musicFusionGenre', 'Alternative_R&B'], ['Roots_rock', 'musicSubgenre', 'Swamp_rock'], ['Electronic_rock', 'musicSubgenre', 'Nintendocore'], ['Rock_music', 'musicSubgenre', 'Heartland_rock'], ['Psychedelic_rock', 'musicFusionGenre', 'Psychedelic_soul'], ['Rap_rock', 'musicSubgenre', 'Rap_metal'], ['Punk_rock', 'musicFusionGenre', 'Dance-punk'], ['Punk_rock', 'musicFusionGenre', 'Anti-folk'], ['Punk_rock', 'musicFusionGenre', 'Psychobilly'], ['Roots_rock', 'musicSubgenre', 'Southern_rock'], ['John_Fogerty', 'recordLabel', 'Fantasy_Records'], ['Progressive_rock', 'musicFusionGenre', 'Avant-prog'], ['John_Fogerty', 'recordLabel', 'DreamWorks_Records'], ['Heavy_metal_music', 'musicFusionGenre', 'Drone_metal'], ['Garage_rock', 'musicFusionGenre', 'Garage_punk_(fusion_genre)'], ['Heavy_metal_music', 'musicFusionGenre', 'Gothic_metal'], ['Rock_music', 'musicSubgenre', 'Glam_rock'], ['Electronic_rock', 'musicSubgenre', 'Post-punk_revival'], ['Rock_music', 'musicSubgenre', 'Surf_music'], ['Rock_music', 'musicSubgenre', 'Beat_music'], ['John_Fogerty', 'recordLabel', 'Asylum_Records'], ['Rock_music', 'musicSubgenre', 'Arena_rock'], ['Punk_rock', 'musicFusionGenre', 'Punk_blues'], ['Indie_rock', 'musicFusionGenre', 'Grindie'], ['Rock_music', 'musicSubgenre', 'Christian_rock'], ['Punk_rock', 'musicFusionGenre', 'Cowpunk'], ['Punk_rock', 'musicFusionGenre', 'Gypsy_punk'], ['Rock_music', 'musicFusionGenre', 'Raga_rock'], ['Punk_rock', 'musicFusionGenre', 'Punk_jazz'], ['Heavy_metal_music', 'musicFusionGenre', 'Djent'], ['Power_pop', 'musicFusionGenre', 'Pop-punk'], ['Heavy_metal_music', 'musicFusionGenre', 'Viking_metal'], ['Indie_rock', 'musicFusionGenre', 'Alternative_dance'], ['Psychedelic_rock', 'musicFusionGenre', 'Zamrock'], ['Rock_music', 'musicSubgenre', 'Death_rock'], ['Rock_music', 'musicSubgenre', 'Alternative_rock'], ['Rock_music', 'musicFusionGenre', 'Samba_rock'], ['Funk_rock', 'musicSubgenre', 'Funk_metal'], ['Rock_music', 'musicSubgenre', 'Garage_rock'], ['Punk_rock', 'musicFusionGenre', 'Punk_rap'], ['Rock_music', 'musicSubgenre', 'Acid_rock'], ['Rock_music', 'musicSubgenre', 'Punk_rock'], ['Rock_music', 'musicFusionGenre', 'Electronic_rock'], ['Electronic_rock', 'musicSubgenre', 'New_rave'], ['Rock_music', 'musicSubgenre', 'Psychedelic_rock'], ['John_Fogerty', 'recordLabel', 'Verve_Forecast'], ['John_Fogerty', 'recordLabel', 'Vanguard_Records'], ['Rock_music', 'musicSubgenre', 'Progressive_rock'], ['Roots_rock', 'musicFusionGenre', 'Alternative_country'], ['John_Fogerty', 'genre', 'Blue-eyed_soul'], ['John_Fogerty', 'recordLabel', 'Geffen_Records'], ['Proud_Mary', 'artist', 'Creedence_Clearwater_Revival'], ['Folk_rock', 'musicSubgenre', 'Folk_punk'], ['Electronic_rock', 'musicSubgenre', 'Dance-punk'], ['Rock_music', 'musicFusionGenre', 'Latin_rock'], ['Rock_music', 'musicFusionGenre', 'Pop_rock'], ['Rock_music', 'musicFusionGenre', 'Industrial_rock'], ['Rock_music', 'musicFusionGenre', 'Dance_rock'], ['Rock_music', 'musicSubgenre', 'Stoner_rock'], ['Alternative_rock', 'musicFusionGenre', 'Alternative_R&B'], ['Rock_music', 'musicFusionGenre', 'Funk_rock'], ['Progressive_rock', 'musicFusionGenre', 'Progressive_soul'], ['Folk_rock', 'musicSubgenre', 'Celtic_rock'], ['Rock_music', 'musicSubgenre', 'Heavy_metal_music'], ['Alternative_rock', 'musicFusionGenre', 'Alternative_metal'], ['Electronic_rock', 'musicSubgenre', 'Electroclash'], ['Heavy_metal_music', 'musicFusionGenre', 'Grindcore'], ['Rock_music', 'musicSubgenre', 'Experimental_rock'], ['Heavy_metal_music', 'musicFusionGenre', 'Metalcore']]Text: 'Proud Mary' is a rock n roll song written by John Fogerty and first recorded by his band Creedence Clearwater Revival. bot:[('Proud_Mary', 'composer', 'John_Fogerty'), ('Proud_Mary', 'lyrics', 'John_Fogerty')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'Hotel': {'label': 'hotel', 'comment': '-'}, 'HockeyClub': {'label': 'hockey club', 'comment': '-'}, 'VolleyballPlayer': {'label': 'volleyball player', 'comment': '-'}, 'Ambassador': {'label': 'ambassador', 'comment': 'An ambassador is the highest ranking diplomat that represents a nation and is usually accredited to a foreign sovereign or government, or to an international organization.'}, 'Brewery': {'label': 'brewery', 'comment': '-'}} Available Properties: {'building': {'label': 'BRIN code', 'description': 'The code used by the Dutch Ministry of Education to identify a school (as an organisation) DataTypeProperty'}, 'center': {'label': 'norwegian center', 'description': 'No description available DataTypeProperty'}, 'city': {'label': 'illiteracy', 'description': 'No description available DataTypeProperty'}, 'custodian': {'label': 'highest rank', 'description': 'No description available DataTypeProperty'}, 'diocese': {'label': 'maiden flight', 'description': 'date of maiden flight DataTypeProperty'}, 'establishment': {'label': 'Establishment', 'description': 'No description available DataTypeProperty'}, 'europeanAffiliation': {'label': 'number of seats', 'description': 'total number of seats/members in an assembly (legislative house or similar) DataTypeProperty'}, 'foundationPlace': {'label': 'Genome DB', 'description': 'the edition of the database used (i.e. hg19) DataTypeProperty'}, 'inn': {'label': 'INN', 'description': 'International Nonproprietary Name given to a pharmaceutical substance DataTypeProperty'}, 'internationalAffiliation': {'label': 'common name', 'description': 'The common name of an entity. Frequently, foaf:name is used for all of the different names of a person; this property just defines the most commonly used name. DataTypeProperty'}, 'keyPerson': {'label': 'number of all MuscialArtist playing the instrument', 'description': 'No description available DataTypeProperty'}, 'leader': {'label': 'number of all MuscialArtist playing the style', 'description': 'No description available DataTypeProperty'}, 'leaderName': {'label': 'original title', 'description': 'The original title of the work, most of the time in the original language as well DataTypeProperty'}, 'leaderParty': {'label': 'election majority', 'description': 'number of votes the office holder attained DataTypeProperty'}, 'livingPlace': {'label': 'temperature (K)', 'description': 'No description available DataTypeProperty'}, 'location': {'label': 'currency code', 'description': 'ISO 4217 currency designators. DataTypeProperty'}, 'locationCity': {'label': 'date of latest election', 'description': 'No description available DataTypeProperty'}, 'lounge': {'label': 'date of an agreement', 'description': 'No description available DataTypeProperty'}, 'mainBuilding': {'label': 'main building', 'description': 'No description available DataTypeProperty'}, 'person': {'label': 'nfl code', 'description': 'No description available DataTypeProperty'}, 'residence': {'label': 'libretto', 'description': 'No description available DataTypeProperty'}, 'restaurant': {'label': 'active years start year manager', 'description': 'No description available DataTypeProperty'}, 'spokesperson': {'label': 'city rank', 'description': 'Place of the building in the list of the highest buildings in the city DataTypeProperty'}, 'tenant': {'label': 'number of étoiles Michelin', 'description': 'No description available DataTypeProperty'}, 'worldOpen': {'label': 'world open', 'description': 'No description available DataTypeProperty'}} Subgraph:[array(['Bill_Marriott', 'birthPlace', 'Washington,_D.C.'], dtype=object) array(['Stephenie_Meyer', 'notableWork', 'The_Host_(novel)'], dtype=object) array(['Copenhagen', 'country', 'Denmark'], dtype=object) array(['Copenhagen', 'timeZone', 'Central_European_Time'], dtype=object) array(['George_Washington', 'deathPlace', 'Virginia'], dtype=object) array(['Copenhagen', 'timeZone', 'Central_European_Summer_Time'], dtype=object) array(['George_Washington', 'deathPlace', 'Mount_Vernon'], dtype=object) array(['George_Washington', 'birthPlace', 'British_America'], dtype=object) array(['Stephenie_Meyer', 'birthPlace', 'Hartford,_Connecticut'], dtype=object) array(['George_Washington', 'birthPlace', 'Colony_of_Virginia'], dtype=object) array(['Stephenie_Meyer', 'notableWork', 'Twilight_(novel_series)'], dtype=object) array(['Bella_Swan', 'creator', 'Stephenie_Meyer'], dtype=object) array(['George_Washington', 'birthPlace', 'George_Washington_Birthplace_National_Monument'], dtype=object)]Text: Bill Marriott is one of the key people of Marriott International which was founded in Washington DC and is the current tenant of AC Hotel Bella Sky Copenhagen in Denmark. The country is led by Lars Lokke Rasmussen. bot:[('Marriott_International', 'foundationPlace', 'Washington,_D.C.'), ('Marriott_International', 'keyPerson', 'Bill_Marriott'), ('Denmark', 'leader', 'Lars_Løkke_Rasmussen'), ('AC_Hotel_Bella_Sky_Copenhagen', 'location', 'Denmark'), ('AC_Hotel_Bella_Sky_Copenhagen', 'tenant', 'Marriott_International'), ('Marriott_International', 'type', 'Company'), ('AC_Hotel_Bella_Sky_Copenhagen', 'type', 'ArchitecturalStructure')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'CanadianFootballLeague': {'label': 'liga de fútbol canadiense', 'comment': 'A group of sports teams that compete against each other in canadian football league.'}, 'SoccerClubSeason': {'label': 'soccer club season', 'comment': '-'}, 'SoccerLeagueSeason': {'label': 'soccer league season', 'comment': '-'}, 'SoccerLeague': {'label': 'soccer league', 'comment': 'A group of sports teams that compete against each other in soccer.'}, 'SoccerClub': {'label': 'soccer club', 'comment': '-'}, 'NationalSoccerClub': {'label': 'national soccer club', 'comment': '-'}, 'FootballLeagueSeason': {'label': 'football league season', 'comment': '-'}, 'NationalFootballLeagueSeason': {'label': 'national football league season', 'comment': '-'}, 'InternationalFootballLeagueEvent': {'label': 'international football league event', 'comment': '-'}, 'SoccerManager': {'label': 'soccer manager', 'comment': '-'}} Available Properties: {'appearancesInLeague': {'label': 'appearances in league', 'description': 'No description available DataTypeProperty'}, 'bourgmestre': {'label': 'premiere year', 'description': 'Year the play was first performed. DataTypeProperty'}, 'clubsRecordGoalscorer': {'label': 'memorial ID number', 'description': 'Identifier for monuments of the Memorial type DataTypeProperty'}, 'currentLeague': {'label': 'distance to London (μ)', 'description': 'No description available DataTypeProperty'}, 'currentTeam': {'label': 'eruption date', 'description': 'No description available DataTypeProperty'}, 'danseCompetition': {'label': 'danse competition', 'description': 'No description available DataTypeProperty'}, 'danseScore': {'label': 'danse score', 'description': 'No description available DataTypeProperty'}, 'europeanChampionship': {'label': 'european championship', 'description': 'No description available DataTypeProperty'}, 'fc': {'label': 'FC', 'description': 'No description available DataTypeProperty'}, 'fcRuns': {'label': 'FC runs', 'description': 'No description available DataTypeProperty'}, 'goalsInLeague': {'label': 'goals in league', 'description': 'No description available DataTypeProperty'}, 'league': {'label': 'number of neighbourhood', 'description': 'No description available DataTypeProperty'}, 'leagueManager': {'label': 'minimum temperature (K)', 'description': 'No description available DataTypeProperty'}, 'managerClub': {'label': 'Gray subject', 'description': "Refers to the famous 1918 edition of Gray's Anatomy. DataTypeProperty"}, 'managerSeason': {'label': 'date construction', 'description': 'No description available DataTypeProperty'}, 'numberOfClubs': {'label': 'number of clubs', 'description': 'number of clubs active in a given sport for a region DataTypeProperty'}, 'numberOfGoals': {'label': 'number of goals scored', 'description': 'No description available DataTypeProperty'}, 'numberOfSoccerPlayersInTeam': {'label': 'number of SoccerPlayers in entity of SoccerClub', 'description': 'No description available DataTypeProperty'}, 'soccerLeagueRelegated': {'label': 'amateur year', 'description': 'No description available DataTypeProperty'}, 'soccerLeagueWinner': {'label': 'Amsterdam Code', 'description': 'No description available DataTypeProperty'}, 'thirdTeam': {'label': 'number of holes', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Magdeburg', 'country', 'Germany']]Text: 1 FC Magdeburg is in the 3 Liga league. bot:[('3', '.', '_'), ('1._FC_Magdeburg', 'league', '3._Liga'), ('1._FC_Magdeburg', 'type', 'SportsClub')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'BaseballPlayer': {'label': 'baseball player', 'comment': '-'}, 'SpeedwayRider': {'label': 'speedway rider', 'comment': '-'}, 'AthleticsPlayer': {'label': 'athletics player', 'comment': '-'}, 'AmericanFootballPlayer': {'label': 'american football player', 'comment': '-'}, 'BaseballTeam': {'label': 'baseball team', 'comment': '-'}, 'RallyDriver': {'label': 'rally driver', 'comment': '-'}, 'Singer': {'label': 'Singer', 'comment': 'a person who sings.'}, 'BaseballLeague': {'label': 'baseball league', 'comment': 'a group of sports teams that compete against each other in Baseball.'}, 'BaseballSeason': {'label': 'baseball season', 'comment': '-'}, 'Stadium': {'label': 'stadium', 'comment': '-'}} Available Properties: {'aoCloassification': {'label': 'AO', 'description': 'No description available DataTypeProperty'}, 'birthName': {'label': 'birth name', 'description': 'full name of a person at birth, if different from their current, generally used name DataTypeProperty'}, 'countryOrigin': {'label': 'number of licensed', 'description': 'nombre de personnes ayant une license pour pratiquer cette activité DataTypeProperty'}, 'formerName': {'label': 'former name', 'description': 'No description available DataTypeProperty'}, 'garrison': {'label': 'minimum area', 'description': 'No description available DataTypeProperty'}, 'homeStadium': {'label': 'number of MuscialArtist class (entities) in DBpedia', 'description': 'No description available DataTypeProperty'}, 'lahHof': {'label': 'lah hof', 'description': 'No description available DataTypeProperty'}, 'locationCity': {'label': 'date of latest election', 'description': 'No description available DataTypeProperty'}, 'musicType': {'label': 'main islands', 'description': 'No description available DataTypeProperty'}, 'nflTeam': {'label': 'periapsis (km)', 'description': 'No description available DataTypeProperty'}, 'origin': {'label': 'number of participating female athletes', 'description': 'No description available DataTypeProperty'}, 'parish': {'label': 'cites', 'description': 'A document cited by this work. Like OntologyProperty:dct:references, but as a datatype property. DataTypeProperty'}, 'stateOfOrigin': {'label': 'free prog competition', 'description': 'No description available DataTypeProperty'}, 'type': {'label': 'other wins', 'description': 'No description available DataTypeProperty'}, 'undraftedYear': {'label': 'undrafted year', 'description': 'No description available DataTypeProperty'}, 'voiceType': {'label': 'EntrezGene', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Aaron', 'veneratedIn', 'Baháʼí_Faith'], ['Aaron', 'veneratedIn', 'Christianity'], ['Aaron', 'veneratedIn', 'Judaism'], ['Indianapolis', 'timeZone', 'Eastern_Daylight_Time'], ['Aaron', 'veneratedIn', 'Samaritanism'], ['Indianapolis', 'timeZone', 'Eastern_Time_Zone'], ['Aaron', 'veneratedIn', 'Islam'], ['Islam', 'soundRecording', 'Islam__Sound__1']]Text: Aaron Deer is from Indianapolis. bot:[('Aaron_Deer', 'origin', 'Indianapolis'), ('Indianapolis', 'type', 'City'), ('Aaron', 'type', 'Person'), ('Aaron_Deer', 'type', 'Eukaryote'), ('Aaron_Deer', 'type', 'Animal'), ('Aaron', 'type', 'Eukaryote'), ('Indianapolis', 'type', 'Location')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'GeologicalPeriod': {'label': 'geological period', 'comment': '-'}, 'YearInSpaceflight': {'label': 'year in spaceflight', 'comment': '-'}, 'PrehistoricalPeriod': {'label': 'prehistorical period', 'comment': '-'}, 'ProtohistoricalPeriod': {'label': 'protohistorical period', 'comment': '-'}, 'Constellation': {'label': 'constellation', 'comment': '-'}, 'SolarEclipse': {'label': 'solar eclipse', 'comment': '-'}, 'TimePeriod': {'label': 'time period', 'comment': '-'}, 'CelestialBody': {'label': 'celestial body', 'comment': '-'}, 'HistoricalPeriod': {'label': 'historical period', 'comment': 'A historical Period should be linked to a Place by way of the property dct:spatial (already defined)'}, 'Asteroid': {'label': 'asteroid', 'comment': '-'}} Available Properties: {'Galaxy/orbitalPeriod': {'label': 'orbital period (s)', 'description': 'No description available DataTypeProperty'}, 'Planet/orbitalPeriod': {'label': 'orbital period (s)', 'description': 'No description available DataTypeProperty'}, 'apoapsis': {'label': 'apoapsis (μ)', 'description': 'No description available DataTypeProperty'}, 'archipelago': {'label': 'project start date', 'description': 'The start date of the project. DataTypeProperty'}, 'astrologicalSign': {'label': 'minority floor leader', 'description': 'number of office holder DataTypeProperty'}, 'constellation': {'label': 'iso code of a community', 'description': 'No description available DataTypeProperty'}, 'countryWithFirstSatelliteLaunched': {'label': 'Has KML data associated with it (usually because of KML overlays)', 'description': 'No description available DataTypeProperty'}, 'cultivatedVariety': {'label': 'PfizerCumulativeDoses', 'description': '辉瑞是源自美国的跨国制药、生物技术公司，营运总部位于纽约，研发总部位于康涅狄格州的格罗顿市 DataTypeProperty'}, 'era': {'label': 'numberOfClasses', 'description': 'number of defined Classes DataTypeProperty'}, 'flower': {'label': 'missions', 'description': 'No description available DataTypeProperty'}, 'isPartOfWineRegion': {'label': 'epoch', 'description': 'moment in time used as a referrence point for some time-vaying astronomical quantity DataTypeProperty'}, 'mission': {'label': 'currently used for', 'description': 'Current use of the architectural structure, if it is currently being used as anything other than its original purpose. DataTypeProperty'}, 'musicType': {'label': 'main islands', 'description': 'No description available DataTypeProperty'}, 'orbitalPeriod': {'label': 'orbital period (s)', 'description': 'No description available DataTypeProperty'}, 'orogeny': {'label': 'draft position', 'description': 'No description available DataTypeProperty'}, 'periapsis': {'label': 'periapsis (μ)', 'description': 'No description available DataTypeProperty'}, 'period': {'label': 'Dutch artwork code', 'description': 'No description available DataTypeProperty'}, 'plant': {'label': 'cargo water (kg)', 'description': 'No description available DataTypeProperty'}, 'rocket': {'label': 'age', 'description': 'No description available DataTypeProperty'}, 'spacecraft': {'label': 'number of countries', 'description': 'No description available DataTypeProperty'}, 'stellarClassification': {'label': 'Believers', 'description': 'No description available DataTypeProperty'}, 'type': {'label': 'other wins', 'description': 'No description available DataTypeProperty'}, 'voiceType': {'label': 'EntrezGene', 'description': 'No description available DataTypeProperty'}} Subgraph:[['1099_Figneria', 'discoverer', 'Grigory_Neujmin']]Text: 1099 Figneria, has an orbital period of 179942000.0 and an apoapsis of 605718000.0 kilometres. With a periapsis of 349206000000.0, 1099 Figneria, has the epoch date, 31 December 2006. bot:[('1099_Figneria', 'apoapsis', '605718000.0_kilometres'), ('1099_Figneria', 'epoch', '2006-12-31'), ('1099_Figneria', 'orbitalPeriod', '179942000.0'), ('1099_Figneria', 'periapsis', '349206000000.0'), ('1099_Figneria', 'type', 'CelestialBody')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'CityDistrict': {'label': 'city district', 'comment': 'District, borough, area or neighbourhood in a city or town'}, 'District': {'label': 'district', 'comment': '-'}, 'ShoppingMall': {'label': 'shopping mall', 'comment': '-'}, 'Amphibian': {'label': 'amphibian', 'comment': '-'}, 'HistoricalDistrict': {'label': 'Historical district', 'comment': 'a place which used to be a district.'}, 'CareerStation': {'label': 'career station', 'comment': 'this class marks a career step in the life of a person, e.g. a soccer player, holding information on the time span, matches and goals he or she achieved at a certain club'}, 'DBpedian': {'label': 'DBpedian', 'comment': '-'}, 'HistoricPlace': {'label': 'historic place', 'comment': '-'}, 'RoadJunction': {'label': 'road junction', 'comment': 'A road junction is a location where vehicular traffic going in different directions can proceed in a controlled manner designed to minimize accidents. In some cases, vehicles can change between different routes or directions of travel (http://en.wikipedia.org/wiki/Junction_%28road%29).'}, 'Website': {'label': 'website', 'comment': '-'}} Available Properties: {'amgid': {'label': 'amgId', 'description': 'No description available DataTypeProperty'}, 'announcedFrom': {'label': 'number of platform levels', 'description': 'Number of levels of platforms at the station. DataTypeProperty'}, 'astrazencaCumul': {'label': 'AstrazencaCumulativeDoses', 'description': '阿斯利康制药公司，是一家由瑞典阿斯特公司（Astra AB）和英国捷利康公司（Zeneca Group PLC）于1999年4月6日合并而成的大型英瑞合资生物制药企业 DataTypeProperty'}, 'ceremonialCounty': {'label': 'UN/LOCODE', 'description': 'UN/LOCODE, the United Nations Code for Trade and Transport Locations, is a geographic coding scheme developed and maintained by United Nations Economic Commission for Europe (UNECE), a unit of the United Nations. UN/LOCODE assigns codes to locations used in trade and transport with functions such as seaports, rail and road terminals, airports, post offices and border crossing points. DataTypeProperty'}, 'collectionSize': {'label': 'diseasesDb', 'description': 'No description available DataTypeProperty'}, 'congressionalDistrict': {'label': 'reporting mark', 'description': 'A reporting mark is a two-, three-, or four-letter alphabetic code used to identify owners or lessees of rolling stock and other equipment used on the North American railroad network. DataTypeProperty'}, 'country': {'label': 'eye colour', 'description': 'No description available DataTypeProperty'}, 'county': {'label': 'INSEE code', 'description': 'numerical indexing code used by the French National Institute for Statistics and Economic Studies (INSEE) to identify various entities DataTypeProperty'}, 'countySeat': {'label': 'DosesFirst', 'description': 'Number of first vaccine doses. DataTypeProperty'}, 'dorlandsId': {'label': 'DorlandsID', 'description': 'No description available DataTypeProperty'}, 'dorlandsPrefix': {'label': 'Dorlands prefix', 'description': 'No description available DataTypeProperty'}, 'dorlandsSuffix': {'label': 'Dorlands suffix', 'description': 'No description available DataTypeProperty'}, 'governmentCountry': {'label': 'boiling point (K)', 'description': 'No description available DataTypeProperty'}, 'isPartOf': {'label': 'orbital inclination', 'description': 'orbital inclination of a stable orbit DataTypeProperty'}, 'locatedInArea': {'label': 'mount', 'description': 'creature ridden by the subject, for instance a horse DataTypeProperty'}, 'musicType': {'label': 'main islands', 'description': 'No description available DataTypeProperty'}, 'superTribus': {'label': 'long distance piste number', 'description': 'No description available DataTypeProperty'}, 'type': {'label': 'other wins', 'description': 'No description available DataTypeProperty'}, 'voiceType': {'label': 'EntrezGene', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Pacific_Islander_Americans', 'populationPlace', 'Washington_(state)'], ['Hispanic_and_Latino_Americans', 'populationPlace', 'New_York_metropolitan_area'], ['Native_Americans_in_the_United_States', 'populationPlace', 'Eastern_United_States'], ['Texas_Tech_University_Health_Sciences_Center_at_Abilene', 'city', 'Abilene,_Texas'], ['United_States', 'ethnicGroup', 'Pacific_Islander_Americans'], ['United_States', 'ethnicGroup', 'Hispanic_and_Latino_Americans'], ['Hispanic_and_Latino_Americans', 'populationPlace', 'Southwestern_United_States'], ['Pacific_Islander_Americans', 'populationPlace', 'Northern_Mariana_Islands'], ['Texas_Tech_University_Health_Sciences_Center_at_Abilene', 'state', 'Texas'], ['United_States', 'ethnicGroup', 'Multiracial_Americans'], ['United_States', 'ethnicGroup', 'White_Americans'], ['New_York_City', 'country', 'United_States'], ['Multiracial_Americans', 'populationPlace', 'Southern_United_States'], ['Pacific_Islander_Americans', 'populationPlace', 'Utah'], ['Pacific_Islander_Americans', 'populationPlace', 'Nevada'], ['Asian_Americans', 'populationPlace', 'Florida'], ['Asian_Americans', 'populationPlace', 'Pennsylvania'], ['Pacific_Islander_Americans', 'populationPlace', 'Guam'], ['Pacific_Islander_Americans', 'populationPlace', 'American_Samoa'], ['United_States', 'ethnicGroup', 'African_Americans'], ['Asian_Americans', 'populationPlace', 'New_York_(state)'], ['United_States_House_of_Representatives', 'location', 'Washington,_D.C.'], ['African_Americans', 'populationPlace', 'Southern_United_States'], ['Hispanic_and_Latino_Americans', 'populationPlace', 'Midwestern_United_States'], ['Native_Americans_in_the_United_States', 'populationPlace', 'Western_United_States'], ['Hispanic_and_Latino_Americans', 'populationPlace', 'Hispanics_and_Latinos_in_New_Jersey'], ['Asian_Americans', 'populationPlace', 'Hawaii'], ['Asian_Americans', 'populationPlace', 'Washington_(state)'], ['Hispanic_and_Latino_Americans', 'populationPlace', 'Northeastern_United_States'], ['Pacific_Islander_Americans', 'populationPlace', 'California'], ['Asian_Americans', 'populationPlace', 'New_Jersey'], ['Texas', 'language', 'Spanish_language'], ['Texas', 'language', 'English_language'], ['Pacific_Islander_Americans', 'populationPlace', 'Oregon'], ['African_Americans', 'populationPlace', 'List_of_United_States_urban_areas'], ['Pacific_Islander_Americans', 'populationPlace', 'Texas'], ['United_States_House_of_Representatives', 'location', 'United_States_of_America'], ['Hispanic_and_Latino_Americans', 'populationPlace', 'California'], ['Asian_Americans', 'populationPlace', 'Virginia'], ['United_States', 'ethnicGroup', 'Race_and_ethnicity_in_the_United_States_census'], ['United_States_House_of_Representatives', 'location', 'United_States_Capitol'], ['Hispanic_and_Latino_Americans', 'populationPlace', 'Washington-Baltimore_metropolitan_area'], ['United_States', 'ethnicGroup', 'Asian_Americans'], ['Multiracial_Americans', 'populationPlace', 'Midwestern_United_States'], ['United_States', 'largestCity', 'New_York_City'], ['Hispanic_and_Latino_Americans', 'populationPlace', 'Texas'], ['Pacific_Islander_Americans', 'populationPlace', 'Florida'], ['Texas', 'largestCity', 'Houston'], ['United_States', 'house', 'United_States_House_of_Representatives'], ['Asian_Americans', 'populationPlace', 'California'], ['Texas', 'country', 'United_States'], ['United_States_House_of_Representatives', 'isPartOf', 'United_States_Congress'], ['United_States', 'ethnicGroup', 'Native_Americans_in_the_United_States'], ['United_States', 'house', 'United_States_Senate'], ['Multiracial_Americans', 'populationPlace', 'Western_United_States'], ['Texas', 'language', 'Languages_of_Texas'], ['Pacific_Islander_Americans', 'populationPlace', 'New_York_(state)'], ['Asian_Americans', 'populationPlace', 'Illinois'], ['United_States_Senate', 'isPartOf', 'United_States_Congress'], ['Asian_Americans', 'populationPlace', 'Texas'], ['Multiracial_Americans', 'populationPlace', 'Northeastern_United_States'], ['White_Americans', 'populationPlace', 'List_of_regions_of_the_United_States'], ['Hispanic_and_Latino_Americans', 'populationPlace', 'Florida'], ['Pacific_Islander_Americans', 'populationPlace', 'Hawaii']]Text: Abilene is part of Jones County, Texas, which is located within the United States. bot:[('Abilene,_Texas', 'country', 'United_States'), ('Abilene,_Texas', 'isPartOf', 'Jones_County,_Texas'), ('United_States', 'type', 'Location'), ('Jones_County,_Texas', 'type', 'Place'), ('Jones_County,_Texas', 'type', 'AdministrativeRegion'), ('Abilene,_Texas', 'type', 'Location'), ('United_States', 'type', 'Country'), ('Abilene,_Texas', 'type', 'City')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'RadioStation': {'label': 'radio station', 'comment': 'A radio station has one line up. For instance the radio station BBC Radio 1. Not to be confused with the broadcasting network BBC, which has many radio stations.'}, 'TelevisionStation': {'label': 'television station', 'comment': 'A television station has usually one line up. For instance the television station WABC-TV (or ABC 7, Channel 7). Not to be confused with the broadcasting network ABC, which has many television stations.'}, 'Station': {'label': 'station', 'comment': 'Public transport station (eg. railway station, metro station, bus station).'}, 'CareerStation': {'label': 'career station', 'comment': 'this class marks a career step in the life of a person, e.g. a soccer player, holding information on the time span, matches and goals he or she achieved at a certain club'}, 'Media': {'label': 'media', 'comment': 'storage and transmission channels or tools used to store and deliver information or data'}, 'RadioHost': {'label': 'radio host', 'comment': '-'}, 'MetroStation': {'label': 'subway station', 'comment': '-'}, 'Magazine': {'label': 'magazine', 'comment': 'Magazines, periodicals, glossies or serials are publications, generally published on a regular schedule, containing a variety of articles. They are generally financed by advertising, by a purchase price, by pre-paid magazine subscriptions, or all three.'}, 'TelevisionDirector': {'label': 'Television director', 'comment': 'a person who directs the activities involved in making a television program.'}, 'TelevisionHost': {'label': 'television host', 'comment': '-'}} Available Properties: {'GeopoliticalOrganisation/areaMetro': {'label': 'final publication year', 'description': 'Year of the final publication. DataTypeProperty'}, 'PopulatedPlace/areaMetro': {'label': 'election majority', 'description': 'number of votes the office holder attained DataTypeProperty'}, 'aircraftTransport': {'label': 'governorate', 'description': 'No description available DataTypeProperty'}, 'careerStation': {'label': 'final publication year', 'description': 'Year of the final publication. DataTypeProperty'}, 'city': {'label': 'illiteracy', 'description': 'No description available DataTypeProperty'}, 'leader': {'label': 'number of all MuscialArtist playing the style', 'description': 'No description available DataTypeProperty'}, 'leaderName': {'label': 'original title', 'description': 'The original title of the work, most of the time in the original language as well DataTypeProperty'}, 'leaderParty': {'label': 'election majority', 'description': 'number of votes the office holder attained DataTypeProperty'}, 'location': {'label': 'currency code', 'description': 'ISO 4217 currency designators. DataTypeProperty'}, 'locationCity': {'label': 'date of latest election', 'description': 'No description available DataTypeProperty'}, 'managementCountry': {'label': 'length (mm)', 'description': 'No description available DataTypeProperty'}, 'managementPlace': {'label': 'city since', 'description': 'No description available DataTypeProperty'}, 'musicType': {'label': 'main islands', 'description': 'No description available DataTypeProperty'}, 'office': {'label': '(political) office', 'description': 'No description available DataTypeProperty'}, 'otherMedia': {'label': 'mass (kg)', 'description': 'No description available DataTypeProperty'}, 'radioStation': {'label': 'radio station', 'description': 'No description available DataTypeProperty'}, 'sisterStation': {'label': 'number of counties', 'description': 'No description available DataTypeProperty'}, 'type': {'label': 'other wins', 'description': 'No description available DataTypeProperty'}, 'voiceType': {'label': 'EntrezGene', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Tagalog_people', 'populationPlace', 'Filipinos_in_Hong_Kong'], ['Philippines', 'ethnicGroup', 'Ethnic_groups_in_the_Philippines'], ['GMA_Network_Center', 'location', 'Quezon_City'], ['Rodrigo_Duterte', 'child', 'Sara_Duterte'], ['Philippines', 'ethnicGroup', 'Visayans'], ['Ilocano_people', 'populationPlace', 'United_States'], ['Tagalog_people', 'populationPlace', 'Japan'], ['Bicolano_people', 'populationPlace', 'Philippines'], ['Ilocano_people', 'populationPlace', 'Overseas_Filipino'], ['Maasin', 'country', 'Philippines'], ['PDP–Laban', 'headquarter', 'Pasay_City'], ['Commonwealth_of_the_Philippines', 'timeZone', 'Philippine_Standard_Time'], ['GMA_New_Media', 'location', 'Philippines'], ['Tagalog_people', 'populationPlace', 'Filipinos_in_Palau'], ['Sara_Duterte', 'birthPlace', 'Davao_City'], ['Philippines', 'largestCity', 'Quezon_City'], ['Philippines', 'house', 'Senate_of_the_Philippines'], ['Tagalog_people', 'populationPlace', 'Filipino_Canadian'], ['EDSA', 'routeJunction', 'Pasay'], ['Koko_Pimentel', 'party', 'PDP–Laban'], ['Koko_Pimentel', 'birthPlace', 'Cagayan_de_Oro'], ['EDSA', 'routeEnd', 'SM_Mall_of_Asia'], ['House_of_Representatives_of_the_Philippines', 'location', 'Batasan_Hills,_Quezon_City'], ['Visayans', 'populationPlace', 'Mindanao'], ['Cagayan_de_Oro', 'country', 'Philippines'], ['GMA_New_Media', 'location', 'Quezon_City'], ['House_of_Representatives_of_the_Philippines', 'location', 'Batasang_Pambansa_Complex'], ['EDSA', 'routeJunction', 'Makati'], ['EDSA', 'routeJunction', 'Quezon_City'], ['Paolo_Duterte', 'birthPlace', 'Davao_City'], ['Visayans', 'populationPlace', 'Visayas'], ['Visayans', 'populationPlace', 'Overseas_Filipinos'], ['EDSA', 'city', 'Mandaluyong'], ['Tagalog_people', 'populationPlace', 'Filipino_American'], ['GMA_Network_Center', 'country', 'Philippines'], ['EDSA', 'routeEnd', 'Bay_City,_Metro_Manila'], ['Tagalog_people', 'populationPlace', 'Guam'], ['Quezon_City', 'timeZone', 'Philippine_Standard_Time'], ['Philippines', 'topLevelDomain', '.ph'], ['House_of_Representatives_of_the_Philippines', 'isPartOf', 'Congress_of_the_Philippines'], ['Philippines', 'house', 'House_of_Representatives_of_the_Philippines'], ['Senate_of_the_Philippines', 'location', 'GSIS_Building'], ['GMA_New_Media', 'location', 'GMA_Network_Center'], ['Tagalog_people', 'populationPlace', 'Saudi_Arabia'], ['Tagalog_people', 'populationPlace', 'Northern_Mariana_Islands'], ['Maasin', 'timeZone', 'Philippine_Standard_Time'], ['Leyte_(province)', 'timeZone', 'Philippine_Standard_Time'], ['Commonwealth_of_the_Philippines', 'house', 'Senate_of_the_Philippines'], ['Rodrigo_Duterte', 'birthPlace', 'Leyte_(province)'], ['EDSA', 'routeJunction', 'Magallanes_Interchange'], ['EDSA', 'routeJunction', 'Ortigas_Interchange'], ['Congress_of_the_Philippines', 'location', 'Joint_session'], ['EDSA', 'city', 'Caloocan'], ['GMA_Network_Center', 'location', 'Metro_Manila'], ['House_of_Representatives_of_the_Philippines', 'location', 'Philippines'], ['Paolo_Duterte', 'birthPlace', 'Philippines'], ['Philippines', 'ethnicGroup', 'Bicolano_people'], ['EDSA', 'routeJunction', 'Cubao'], ['Rodrigo_Duterte', 'birthPlace', 'Maasin'], ['Senate_of_the_Philippines', 'location', 'Jose_W._Diokno_Boulevard'], ['Visayans', 'populationPlace', 'Philippines'], ['EDSA', 'routeStart', 'Bonifacio_Monument'], ['Rodrigo_Duterte', 'residence', 'Davao_City'], ['Cagayan_de_Oro', 'timeZone', 'Philippine_Standard_Time'], ['Philippines', 'ethnicGroup', 'Tagalog_people'], ['House_of_Representatives_of_the_Philippines', 'location', 'Quezon_City'], ['PDP–Laban', 'headquarter', 'Metro_Manila'], ['Commonwealth_of_the_Philippines', 'legislature', 'Congress_of_the_Philippines'], ['EDSA', 'beltwayCity', 'Manila'], ['Visayans', 'populationPlace', 'Luzon'], ['EDSA', 'routeJunction', 'Mandaluyong'], ['Ilocano_people', 'populationPlace', 'Philippines'], ['GMA_Network_Center', 'location', 'EDSA'], ['EDSA', 'city', 'San_Juan,_Metro_Manila'], ['Commonwealth_of_the_Philippines', 'legislature', 'National_Assembly_of_the_Philippines'], ['Commonwealth_of_the_Philippines', 'house', 'House_of_Representatives_of_the_Philippines'], ['Bicolano_people', 'populationPlace', 'Overseas_Filipinos'], ['Tagalog_people', 'populationPlace', 'Federated_States_of_Micronesia'], ['EDSA', 'city', 'Makati'], ['EDSA', 'city', 'Quezon_City'], ['Philippines', 'ethnicGroup', 'Ilocano_people'], ['Senate_of_the_Philippines', 'location', 'Pasay'], ['Sebastian_Duterte', 'birthPlace', 'Davao_City'], ['Metro_Manila', 'country', 'Philippines'], ['EDSA', 'routeJunction', 'Balintawak_Interchange'], ['Rodrigo_Duterte', 'birthPlace', 'Commonwealth_of_the_Philippines'], ['EDSA', 'routeEnd', 'Pasay'], ['Rodrigo_Duterte', 'child', 'Paolo_Duterte'], ['Tagalog_people', 'populationPlace', 'Philippines'], ['Congress_of_the_Philippines', 'location', 'Quezon_City'], ['EDSA', 'routeStart', 'Caloocan'], ['Rodrigo_Duterte', 'child', 'Sebastian_Duterte'], ['EDSA', 'city', 'Pasay'], ['Philippines', 'legislature', 'Congress_of_the_Philippines']]Text: GMA New Media headquarters are located in the GMA Network Center in the Philippines, the country which is led by Aquilino Pimentel III and Rodrigo Duterte. bot:[('Philippines', 'leader', 'Rodrigo_Duterte'), ('Philippines', 'leader', 'Koko_Pimentel'), ('GMA_New_Media', 'location', 'Philippines'), ('GMA_New_Media', 'location', 'GMA_Network_Center'), ('GMA_New_Media', 'type', 'Company'), ('Rodrigo_Duterte', 'type', 'Politician'), ('GMA_Network_Center', 'type', 'Building'), ('Rodrigo_Duterte', 'type', 'Eukaryote'), ('Philippines', 'type', 'Location'), ('GMA_Network_Center', 'type', 'ArchitecturalStructure'), ('Philippines', 'type', 'Country')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'BadmintonPlayer': {'label': 'badminton player', 'comment': '-'}, 'DartsPlayer': {'label': 'darts player', 'comment': '-'}, 'VolleyballPlayer': {'label': 'volleyball player', 'comment': '-'}, 'BeachVolleyballPlayer': {'label': 'beach volleyball player', 'comment': '-'}, 'TennisPlayer': {'label': 'tennis player', 'comment': '-'}} Available Properties: {'athletics': {'label': 'minority leader', 'description': 'number of office holder DataTypeProperty'}, 'birthDate': {'label': 'birth date', 'description': 'No description available DataTypeProperty'}, 'birthPlace': {'label': 'Bioavailability', 'description': '"The rate and extent to which the active ingredient or active moiety is absorbed from a drug product and becomes available at the site of action. For drug products that are not intended to be absorbed into the bloodstream, bioavailability may be assessed by measurements intended to reflect the rate and extent to which the active ingredient or active moiety becomes available at the site of action (21CFR320.1)." DataTypeProperty'}, 'birthSign': {'label': 'Moderna', 'description': 'Moderna, Inc is an American pharmaceutical and biotechnology company based in Cambridge, Massachusetts. DataTypeProperty'}, 'bronzeMedalDouble': {'label': 'bronze medal double', 'description': 'No description available DataTypeProperty'}, 'bronzeMedalist': {'label': 'registry number', 'description': 'Identification of the registry a document is in DataTypeProperty'}, 'formerCoach': {'label': 'number of trails', 'description': 'Number of trails in ski area. DataTypeProperty'}, 'mostSuccessfulPlayer': {'label': 'Wikipage modification datetime', 'description': "Reserved for DBpedia '''''' DataTypeProperty"}, 'nationalTournamentBronze': {'label': 'national tournament bronze', 'description': 'No description available DataTypeProperty'}, 'previousWorkDate': {'label': 'classification', 'description': 'Any string representing a class or category this thing is assigned to. DataTypeProperty'}, 'sport': {'label': 'SMILES', 'description': 'The Simplified Molecular-Input Line-Entry System or SMILES is a specification in form of a line notation for describing the structure of chemical molecules using short ASCII strings. DataTypeProperty'}, 'sportCountry': {'label': 'number of stations', 'description': 'Number of stations or stops. DataTypeProperty'}, 'wimbledonDouble': {'label': 'wimbledon double', 'description': 'No description available DataTypeProperty'}, 'wimbledonMixed': {'label': 'wimbledon mixed', 'description': 'No description available DataTypeProperty'}, 'wimbledonSingle': {'label': 'wimbledon single', 'description': 'No description available DataTypeProperty'}, 'winsAtPGA': {'label': 'course area (m2)', 'description': 'The area of courses in square meters. DataTypeProperty'}, 'winsAtProTournaments': {'label': 'jutsu', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Badminton', 'equipment', 'Shuttlecock'], ['Badminton', 'sportGoverningBody', 'Badminton_World_Federation'], ['Badminton', 'equipment', 'Racket_(sports_equipment)']]Text: Robert Adcock (born 9 August 1986) is an English badminton player. bot:[('Robert_Adcock', 'birthDate', '09/08/1986'), ('Robert_Adcock', 'sport', 'Badminton')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'Medician': {'label': 'medician', 'comment': '-'}, 'EducationalInstitution': {'label': 'educational institution', 'comment': '-'}, 'University': {'label': 'university', 'comment': '-'}, 'SiteOfSpecialScientificInterest': {'label': 'Site of Special Scientific Interest', 'comment': 'A Site of Special Scientific Interest (SSSI) is a conservation designation denoting a protected area in the United Kingdom. SSSIs are the basic building block of site-based nature conservation legislation and most other legal nature/geological conservation designations in Great Britain are based upon them, including National Nature Reserves, Ramsar Sites, Special Protection Areas, and Special Areas of Conservation.'}, 'Museum': {'label': 'museum', 'comment': '-'}} Available Properties: {'almaMater': {'label': 'end career', 'description': 'No description available DataTypeProperty'}, 'binomial': {'label': 'average speed (km/s)', 'description': 'The average speed of a thing. DataTypeProperty'}, 'collectionSize': {'label': 'diseasesDb', 'description': 'No description available DataTypeProperty'}, 'country': {'label': 'eye colour', 'description': 'No description available DataTypeProperty'}, 'created': {'label': 'distance to Charing Cross (μ)', 'description': 'No description available DataTypeProperty'}, 'dean': {'label': 'final publication date', 'description': 'Date of the final publication. DataTypeProperty'}, 'deanery': {'label': 'price ($)', 'description': 'The price of something, eg a journal. For "total money earned by an Athlete" use gross DataTypeProperty'}, 'doctoralAdvisor': {'label': 'galicianSpeakersDate', 'description': 'The last inquiry date about linguistics uses. DataTypeProperty'}, 'doctoralStudent': {'label': 'galicianSpeakersPercentage', 'description': 'Percentage of Galician speakers. DataTypeProperty'}, 'established': {'label': 'Established', 'description': 'No description available DataTypeProperty'}, 'foundedBy': {'label': 'little pool record', 'description': 'No description available DataTypeProperty'}, 'founder': {'label': 'local phone prefix', 'description': 'No description available DataTypeProperty'}, 'governmentCountry': {'label': 'boiling point (K)', 'description': 'No description available DataTypeProperty'}, 'numberOfClassrooms': {'label': 'dead in fight place', 'description': 'No description available DataTypeProperty'}, 'numberOfDoctoralStudents': {'label': 'number of doctoral students', 'description': 'No description available DataTypeProperty'}, 'numberOfPostgraduateStudents': {'label': 'number of postgraduate students', 'description': 'No description available DataTypeProperty'}, 'numberOfStudents': {'label': 'number of students', 'description': 'No description available DataTypeProperty'}, 'populationTotalReference': {'label': 'defeat as team manager', 'description': 'No description available DataTypeProperty'}, 'rector': {'label': 'procedure', 'description': 'The name designating a formal collection of steps to be taken to complete the case DataTypeProperty'}, 'sisterCollege': {'label': 'first publication year', 'description': 'Year of the first publication. DataTypeProperty'}, 'university': {'label': 'number of vehicles', 'description': 'Number of vehicles used in the transit system. DataTypeProperty'}} Subgraph:[array(['Switzerland', 'largestCity', 'Zürich'], dtype=object) array(['Mario_Botta', 'birthPlace', 'Mendrisio'], dtype=object) array(['Mendrisio', 'neighboringMunicipality', 'Riva_San_Vitale'], dtype=object) array(['Mario_Botta', 'birthPlace', 'Switzerland'], dtype=object) array(['Zürich', 'twinTown', 'San_Francisco'], dtype=object) array(['Zürich', 'lowestPlace', 'Limmat'], dtype=object) array(['Mendrisio', 'neighboringMunicipality', 'Genestrerio'], dtype=object) array(['Mendrisio', 'neighboringMunicipality', 'Coldrerio'], dtype=object) array(['Accademia_di_Architettura_di_Mendrisio', 'city', 'Mendrisio'], dtype=object) array(['Mendrisio', 'neighboringMunicipality', 'Melano'], dtype=object) array(['Mendrisio', 'neighboringMunicipality', 'Novazzano'], dtype=object) array(['Mendrisio', 'neighboringMunicipality', 'Castel_San_Pietro,_Switzerland'], dtype=object) array(['Zürich', 'twinTown', 'Kunming'], dtype=object) array(['Mendrisio', 'district', 'Mendrisio_(district)'], dtype=object)]Text: The Accademia di Architettura di Mendrisio was established in 1996 and is located in the country of Switzerland. The dean is called Mario Botta and it has 600 students. bot:[('Accademia_di_Architettura_di_Mendrisio', 'country', 'Switzerland'), ('Accademia_di_Architettura_di_Mendrisio', 'dean', 'Mario_Botta'), ('Accademia_di_Architettura_di_Mendrisio', 'established', '1996'), ('Accademia_di_Architettura_di_Mendrisio', 'numberOfStudents', '600')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'AmericanLeader': {'label': 'American Leader', 'comment': '-'}, 'VicePrimeMinister': {'label': 'vice prime minister', 'comment': '-'}, 'Chancellor': {'label': 'chancellor', 'comment': '-'}, 'President': {'label': 'president', 'comment': '-'}, 'VicePresident': {'label': 'vice president', 'comment': '-'}, 'Governor': {'label': 'governor', 'comment': '-'}, 'PrimeMinister': {'label': 'prime minister', 'comment': '-'}, 'SoccerManager': {'label': 'soccer manager', 'comment': '-'}, 'GovernmentCabinet': {'label': 'cabinet of ministers', 'comment': 'A cabinet is a body of high-ranking state officials, typically consisting of the top leaders of the executive branch.'}, 'MouseGene': {'label': 'MouseGene', 'comment': '-'}} Available Properties: {'chairman': {'label': 'id number', 'description': 'No description available DataTypeProperty'}, 'danseCompetition': {'label': 'danse competition', 'description': 'No description available DataTypeProperty'}, 'danseScore': {'label': 'danse score', 'description': 'No description available DataTypeProperty'}, 'europeanAffiliation': {'label': 'number of seats', 'description': 'total number of seats/members in an assembly (legislative house or similar) DataTypeProperty'}, 'freeDanseScore': {'label': 'free danse score', 'description': 'No description available DataTypeProperty'}, 'imposedDanseCompetition': {'label': 'imposed danse competition', 'description': 'No description available DataTypeProperty'}, 'imposedDanseScore': {'label': 'imposed danse score', 'description': 'No description available DataTypeProperty'}, 'leader': {'label': 'number of all MuscialArtist playing the style', 'description': 'No description available DataTypeProperty'}, 'leaderName': {'label': 'original title', 'description': 'The original title of the work, most of the time in the original language as well DataTypeProperty'}, 'leaderParty': {'label': 'election majority', 'description': 'number of votes the office holder attained DataTypeProperty'}, 'leaderTitle': {'label': 'leader title', 'description': 'No description available DataTypeProperty'}, 'originalDanseCompetition': {'label': 'original danse competititon', 'description': 'No description available DataTypeProperty'}, 'originalDanseScore': {'label': 'original danse score', 'description': 'No description available DataTypeProperty'}, 'politicalLeader': {'label': 'non professional career', 'description': 'No description available DataTypeProperty'}, 'politicalPartyOfLeader': {'label': 'lead year', 'description': 'No description available DataTypeProperty'}, 'quebecerTitle': {'label': 'quebecer title', 'description': 'No description available DataTypeProperty'}, 'silCode': {'label': 'deme', 'description': 'No description available DataTypeProperty'}, 'viceChancellor': {'label': 'military command', 'description': 'For persons who are notable as commanding officers, the units they commanded. Dates should be given if multiple notable commands were held. DataTypeProperty'}, 'viceLeader': {'label': 'security', 'description': 'Safety precautions that are used in the building. DataTypeProperty'}, 'viceLeaderParty': {'label': 'carcinogen', 'description': 'No description available DataTypeProperty'}, 'vicePrimeMinister': {'label': 'road end direction', 'description': 'End of the route. The opposite of OntologyProperty:routeStartDirection. DataTypeProperty'}} Subgraph:[['France', 'leaderFunction', 'France__PersonFunction__2'], ['France', 'event', 'France__HistoricalEvent__3'], ['France', 'event', 'France__HistoricalEvent__5'], ['France', 'event', 'France__HistoricalEvent__1'], ['France', 'leaderFunction', 'France__PersonFunction__1'], ['France', 'event', 'France__HistoricalEvent__2'], ['France', 'event', 'France__HistoricalEvent__4']]Text: François Hollande is the leader of France. bot:[('France', 'leader', 'François_Hollande'), ('France', 'type', 'Country')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'Population': {'label': 'population', 'comment': '-'}, 'Demographics': {'label': 'demographics', 'comment': 'Population of a place. Uses these properties: populationTotal, year (when measured, populationYear), rank (sortOrder of this place amongst its siblings at the same level), name (areal measured by the population, eg: "locality", "municipality" or "comitat")'}, 'PopulatedPlace': {'label': 'populated place', 'comment': 'As defined by the United States Geological Survey, a populated place is a place or area with clustered or scattered buildings and a permanent human population (city, settlement, town, or village) referenced with geographic coordinates (http://en.wikipedia.org/wiki/Populated_place).'}, 'Bay': {'label': 'bay', 'comment': '-'}, 'Archipelago': {'label': 'archipelago', 'comment': '-'}, 'Community': {'label': 'Community', 'comment': 'A community is a group of living organisms, people, plants or animals that live in a common environment.'}, 'HockeyTeam': {'label': 'hockey team', 'comment': '-'}, 'Area': {'label': 'area', 'comment': 'Area of something. Use "value" for the value, "min" & "max" for a range (if uncertain) and "rank" (integer) for the rank of that thing amongst its siblings (eg regions ordered by area)'}, 'IceHockeyPlayer': {'label': 'ice hockey player', 'comment': '-'}, 'IceHockeyLeague': {'label': 'ice hockey league', 'comment': 'a group of sports teams that compete against each other in Ice Hockey.'}} Available Properties: {'agglomerationDemographics': {'label': 'KEGG', 'description': 'Bioinformatics resource for deciphering the genome. DataTypeProperty'}, 'agglomerationPopulation': {'label': 'last election date', 'description': 'The last election date for the house. DataTypeProperty'}, 'agglomerationPopulationTotal': {'label': 'agglomeration population total', 'description': 'No description available DataTypeProperty'}, 'avifaunaPopulation': {'label': 'avifauna population', 'description': 'No description available DataTypeProperty'}, 'demographics': {'label': 'licence number', 'description': 'No description available DataTypeProperty'}, 'numberOfClassrooms': {'label': 'dead in fight place', 'description': 'No description available DataTypeProperty'}, 'numberOfVisitors': {'label': 'number of visitors', 'description': 'No description available DataTypeProperty'}, 'numberOfVisitorsAsOf': {'label': 'number of visitors as of', 'description': 'The year in which number of visitors occurred. DataTypeProperty'}, 'peopleVaccinatedPerHundred': {'label': 'VIAF Id', 'description': 'Virtual International Authority File ID (operated by Online Computer Library Center, OCLC). Property range set to Agent because of corporate authors DataTypeProperty'}, 'population': {'label': 'CAS number', 'description': 'Chemical Abstracts Service number. Applicable to ChemicalCompound or Biomolecule (eg Protein) DataTypeProperty'}, 'populationAsOf': {'label': 'population as of', 'description': 'No description available DataTypeProperty'}, 'populationPctWomen': {'label': 'population percentage female', 'description': 'No description available DataTypeProperty'}, 'populationPlace': {'label': 'legal arrondissement', 'description': 'No description available DataTypeProperty'}, 'populationTotal': {'label': 'population total', 'description': 'No description available DataTypeProperty'}, 'populationTotalReference': {'label': 'defeat as team manager', 'description': 'No description available DataTypeProperty'}, 'populationYear': {'label': 'population year', 'description': 'No description available DataTypeProperty'}, 'previousPopulation': {'label': 'diameter (mm)', 'description': 'No description available DataTypeProperty'}, 'previousPopulationTotal': {'label': 'previous population total', 'description': 'No description available DataTypeProperty'}, 'totalPopulation': {'label': 'total population', 'description': 'No description available DataTypeProperty'}, 'totalVaccinationsPerHundred': {'label': 'The IUPAC International Chemical Identifier', 'description': 'No description available DataTypeProperty'}} Subgraph:[['United_States', 'largestCity', 'New_York_City'], ['California', 'largestCity', 'Los_Angeles'], ['Angel_Stadium', 'location', 'United_States'], ['Los_Angeles', 'country', 'United_States'], ['Angel_Stadium', 'location', 'Anaheim,_California']]Text: The total population of Anaheim California is 336265. bot:[('Anaheim,_California', 'populationTotal', '336265'), ('Anaheim,_California', 'type', 'Location')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'Manhwa': {'label': 'manhwa', 'comment': 'Korean term for comics and print cartoons'}, 'CricketTeam': {'label': 'cricket team', 'comment': '-'}, 'Cricketer': {'label': 'cricketer', 'comment': '-'}, 'GivenName': {'label': 'given name', 'comment': '-'}, 'CricketLeague': {'label': 'cricket league', 'comment': 'a group of sports teams that compete against each other in Cricket'}, 'Prefecture': {'label': 'prefecture', 'comment': '-'}, 'CricketGround': {'label': 'cricket ground', 'comment': '-'}, 'Surname': {'label': 'surname', 'comment': '-'}, 'Polysaccharide': {'label': 'polysaccharide', 'comment': '-'}, 'BowlingLeague': {'label': 'bowling league', 'comment': 'a group of sports teams or players that compete against each other in Bowling'}} Available Properties: {'alternativeName': {'label': 'alternative name', 'description': 'Alternative naming of anything not being a Person (for which case foaf:nick should be used). DataTypeProperty'}, 'collectionSize': {'label': 'diseasesDb', 'description': 'No description available DataTypeProperty'}, 'country': {'label': 'eye colour', 'description': 'No description available DataTypeProperty'}, 'countryOrigin': {'label': 'number of licensed', 'description': 'nombre de personnes ayant une license pour pratiquer cette activité DataTypeProperty'}, 'governmentCountry': {'label': 'boiling point (K)', 'description': 'No description available DataTypeProperty'}, 'ingredient': {'label': 'lunar orbit time (s)', 'description': 'No description available DataTypeProperty'}, 'medication': {'label': 'victims (string)', 'description': 'Type, description, or name(s) of victims of a ConcentrationCamp, Criminal, SerialKiller, or some other atrocity DataTypeProperty'}, 'musicType': {'label': 'main islands', 'description': 'No description available DataTypeProperty'}, 'nameInHanjaKorean': {'label': 'name in Hanja-written (traditional) Korean', 'description': 'No description available DataTypeProperty'}, 'nameInJapanese': {'label': 'name in Japanese', 'description': 'No description available DataTypeProperty'}, 'nameInSimplifiedChinese': {'label': 'name in Simplified Chinese', 'description': 'No description available DataTypeProperty'}, 'nameInTraditionalChinese': {'label': 'name in Traditional Chinese', 'description': 'No description available DataTypeProperty'}, 'namedAfter': {'label': 'original danse competititon', 'description': 'No description available DataTypeProperty'}, 'namedByLanguage': {'label': 'maximum temperature (K)', 'description': 'No description available DataTypeProperty'}, 'origin': {'label': 'number of participating female athletes', 'description': 'No description available DataTypeProperty'}, 'product': {'label': 'old name', 'description': 'No description available DataTypeProperty'}, 'sourceName': {'label': 'death date', 'description': 'No description available DataTypeProperty'}, 'stateOfOrigin': {'label': 'free prog competition', 'description': 'No description available DataTypeProperty'}, 'type': {'label': 'other wins', 'description': 'No description available DataTypeProperty'}, 'voiceType': {'label': 'EntrezGene', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Bhaji', 'ingredient', 'Vegetable'], ['South_Asia', 'language', 'Arabic'], ['South_Asia', 'language', 'Dogri_language'], ['India', 'language', 'Sanskrit'], ['South_Asia', 'language', 'Dzongkha'], ['India', 'language', 'Marathi_language'], ['Bhaji', 'region', 'Trinidad_and_Tobago'], ['South_Asia', 'language', 'Tulu_language'], ['South_Asia', 'language', 'Gondi_language'], ['India', 'house', 'Rajya_Sabha'], ['South_Asia', 'language', 'Konkani_language'], ['South_Asia', 'language', 'Thakali_language'], ['India', 'topLevelDomain', '.in'], ['Bhaji', 'country', 'Indian_subcontinent'], ['South_Asia', 'language', 'Beary_language'], ['India', 'language', 'Kannada'], ['India', 'language', 'Malayalam'], ['India', 'language', 'Dogri_language'], ['South_Asia', 'language', 'Brahui_language'], ['South_Asia', 'language', 'Bodo_language'], ['South_Asia', 'language', 'Hindi_Belt'], ['India', 'officialLanguage', 'Hindi'], ['South_Asia', 'language', 'Gurung_language'], ['India', 'language', 'Tamil_language'], ['South_Asia', 'language', 'Rohingya_language'], ['South_Asia', 'language', 'Turkmen_language'], ['Trinidad_and_Tobago', 'ethnicGroup', 'Portuguese_Trinidadian_and_Tobagonian'], ['Pakora', 'country', 'South_Asia'], ['South_Asia', 'language', 'Gujarati_language'], ['South_Asia', 'language', 'Sylheti_language'], ['South_Asia', 'language', 'Dravidian_languages'], ['India', 'officialLanguage', 'Indian_English'], ['South_Asia', 'language', 'Sri_Lankan_Creole_Malay'], ['India', 'currency', 'Indian_rupee'], ['Bhaji', 'ingredient', 'Gram_flour'], ['South_Asia', 'language', 'Indo-European_languages'], ['South_Asia', 'language', 'Sikkimese_language'], ['South_Asia', 'language', 'Tamang_language'], ['South_Asia', 'language', 'Hindi'], ['South_Asia', 'language', 'Sindhi_language'], ['South_Asia', 'language', 'Meitei_language'], ['South_Asia', 'language', 'Bengali_language'], ['South_Asia', 'language', 'Kashmiri_language'], ['Trinidad_and_Tobago', 'ethnicGroup', 'Dougla'], ['India', 'language', 'Telugu_language'], ['South_Asia', 'language', 'Afro-Asiatic_languages'], ['South_Asia', 'language', 'Kumaoni_language'], ['India', 'language', 'Punjabi_language'], ['South_Asia', 'language', 'Manang_language'], ['South_Asia', 'language', 'Kutchi_language'], ['South_Asia', 'language', 'Limbu_language'], ['Bhaji', 'region', 'South_India'], ['South_Asia', 'language', 'Sinhala_language'], ['Pakora', 'related', 'Burmese_fritters'], ['South_Asia', 'language', 'Maithili_language'], ['India', 'language', 'Hindi'], ['India', 'language', 'Meitei_language'], ['South_Asia', 'language', 'Assamese_language'], ['South_Asia', 'language', 'Odia_language'], ['South_Asia', 'language', 'Urdu'], ['India', 'largestCity', 'Delhi'], ['South_Asia', 'language', 'Ladakhi_language'], ['Trinidad_and_Tobago', 'ethnicGroup', 'Ethnic_groups_in_Trinidad_and_Tobago'], ['South_Asia', 'language', 'Nepali_language'], ['South_Asia', 'language', 'Balochi_language'], ['South_Asia', 'language', 'Kodava_language'], ['South_Asia', 'language', 'Balti_language'], ['India', 'language', 'Konkani_language'], ['Delhi', 'country', 'India'], ['India', 'timeZone', 'Indian_Standard_Time'], ['South_Asia', 'language', 'Santali_language'], ['South_Asia', 'language', 'Lahnda'], ['Trinidad_and_Tobago', 'ethnicGroup', 'Demographics_of_Trinidad_and_Tobago'], ['Bhaji', 'region', 'Eastern_India'], ['South_Asia', 'language', 'English_language'], ['India', 'language', 'Assamese_language'], ['India', 'language', 'Urdu'], ['South_Asia', 'language', 'Sino-Tibetan_languages'], ['South_Asia', 'language', 'Hindko'], ['South_Asia', 'language', 'Chittagonian_language'], ['South_Asia', 'language', 'Austroasiatic_languages'], ['South_Asia', 'language', 'Rangpuri_language'], ['Trinidad_and_Tobago', 'largestCity', 'San_Fernando,_Trinidad_and_Tobago'], ['South_Asia', 'language', 'Bhili_language'], ['India', 'language', 'Gujarati_language'], ['South_Asia', 'language', 'Dari'], ['South_Asia', 'language', 'Khasi_language'], ['Fritter', 'ingredient', 'Dough'], ['South_Asia', 'language', 'Dhivehi_language'], ['South_Asia', 'language', 'Bhojpuri_language'], ['Bhaji', 'region', 'Pakistan'], ['India', 'language', 'Sindhi_language'], ['South_Asia', 'language', 'Turkic_languages'], ['India', 'language', 'List_of_languages_by_number_of_native_speakers_in_India'], ['South_Asia', 'language', 'Marathi_language'], ['Trinidad_and_Tobago', 'ethnicGroup', 'Afro–Trinidadians_and_Tobagonians'], ['India', 'language', 'Bengali_language'], ['India', 'language', 'Kashmiri_language'], ['Mumbai', 'country', 'India'], ['Fritter', 'ingredient', 'Batter_(cooking)'], ['Trinidad_and_Tobago', 'ethnicGroup', 'Indigenous_peoples_of_the_Americas'], ['Pakora', 'region', 'South_Asia'], ['South_Asia', 'language', 'Marwari_language'], ['Pakora', 'related', 'Pholourie'], ['India', 'language', 'Kokborok'], ['South_Asia', 'language', 'Kannada'], ['South_Asia', 'language', 'Malayalam'], ['India', 'language', 'Maithili_language'], ['India', 'language', 'Odia_language'], ['South_Asia', 'language', 'Tamil_language'], ['India', 'language', 'Nepali_language'], ['South_Asia', 'language', 'Mizo_language'], ['South_Asia', 'language', 'Garhwali_language'], ['South_Asia', 'language', 'Pashto'], ['India', 'house', 'Lok_Sabha'], ['India', 'language', 'Santali_language'], ['South_Asia', 'language', 'Austronesian_languages'], ['Pakora', 'ingredient', 'Gram_flour'], ['Pakistan', 'largestCity', 'Karachi'], ['Trinidad_and_Tobago', 'ethnicGroup', 'Indo-Trinidadian_and_Tobagonian'], ['South_Asia', 'language', 'Uzbek_language'], ['Trinidad_and_Tobago', 'ethnicGroup', 'Chinese_Trinidadian_and_Tobagonian'], ['South_Asia', 'language', 'Sanskrit'], ['South_Asia', 'language', 'Saraiki_language'], ['India', 'language', 'Boro_language_(India)'], ['South_Asia', 'language', 'Standard_Tibetan'], ['India', 'language', 'Mizo_language'], ['South_Asia', 'language', 'Telugu_language'], ['South_Asia', 'language', 'Punjabi_language'], ['Bhaji', 'region', 'Western_India'], ['India', 'largestCity', 'Mumbai']]Text: Coming form India and made with gram flour, Bhajji, has the alternative names Bhaji and bajji. bot:[('Pakora', 'alternativeName', 'Bhaji,_bajji'), ('Pakora', 'country', 'India'), ('Pakora', 'ingredient', 'Gram_flour'), ('Pakora', 'type', 'Food'), ('Bhaji', 'type', 'Food'), ('India', 'type', 'Country'), ('India', 'type', 'Location')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'SoccerPlayer': {'label': 'soccer player', 'comment': '-'}, 'NationalSoccerClub': {'label': 'national soccer club', 'comment': '-'}, 'SoccerManager': {'label': 'soccer manager', 'comment': '-'}, 'AmericanLeader': {'label': 'American Leader', 'comment': '-'}, 'SoccerClub': {'label': 'soccer club', 'comment': '-'}, 'SoccerClubSeason': {'label': 'soccer club season', 'comment': '-'}, 'Mayor': {'label': 'mayor', 'comment': '-'}, 'SoccerLeague': {'label': 'soccer league', 'comment': 'A group of sports teams that compete against each other in soccer.'}, 'Chancellor': {'label': 'chancellor', 'comment': '-'}, 'Manhua': {'label': 'manhua', 'comment': 'Comics originally produced in China'}} Available Properties: {'astrazenca': {'label': 'Astrazenca', 'description': 'AstraZeneca plc is a British-Swedish multinational pharmaceutical and biotechnology company with its headquarters at the Cambridge Biomedical Campus in Cambridge, England. DataTypeProperty'}, 'collectionSize': {'label': 'diseasesDb', 'description': 'No description available DataTypeProperty'}, 'country': {'label': 'eye colour', 'description': 'No description available DataTypeProperty'}, 'deanery': {'label': 'price ($)', 'description': 'The price of something, eg a journal. For "total money earned by an Athlete" use gross DataTypeProperty'}, 'demonym': {'label': 'EntrezGene', 'description': 'No description available DataTypeProperty'}, 'doctoralAdvisor': {'label': 'galicianSpeakersDate', 'description': 'The last inquiry date about linguistics uses. DataTypeProperty'}, 'doctoralStudent': {'label': 'galicianSpeakersPercentage', 'description': 'Percentage of Galician speakers. DataTypeProperty'}, 'dubber': {'label': 'rank', 'description': 'Rank of something among other things of the same kind, eg Constellations by Area; MusicalAlbums by popularity, etc DataTypeProperty'}, 'entrezgene': {'label': 'EntrezGene', 'description': 'No description available DataTypeProperty'}, 'governmentCountry': {'label': 'boiling point (K)', 'description': 'No description available DataTypeProperty'}, 'highestMountain': {'label': 'region', 'description': 'The regin where the thing is located or is connected to. ObjectTypeProperty'}, 'latinName': {'label': 'name in latin', 'description': 'No description available DataTypeProperty'}, 'leader': {'label': 'number of all MuscialArtist playing the style', 'description': 'No description available DataTypeProperty'}, 'leaderName': {'label': 'original title', 'description': 'The original title of the work, most of the time in the original language as well DataTypeProperty'}, 'leaderParty': {'label': 'election majority', 'description': 'number of votes the office holder attained DataTypeProperty'}, 'musicType': {'label': 'main islands', 'description': 'No description available DataTypeProperty'}, 'nationality': {'label': 'national tournament bronze', 'description': 'No description available DataTypeProperty'}, 'origo': {'label': 'lunar EVA time (ω)', 'description': 'No description available DataTypeProperty'}, 'regionServed': {'label': 'number of bombs', 'description': 'No description available DataTypeProperty'}, 'sourceRegion': {'label': 'code on List of Honour', 'description': 'No description available DataTypeProperty'}, 'team': {'label': 'number of reactors', 'description': 'No description available DataTypeProperty'}, 'type': {'label': 'other wins', 'description': 'No description available DataTypeProperty'}, 'viceLeader': {'label': 'security', 'description': 'Safety precautions that are used in the building. DataTypeProperty'}, 'voiceType': {'label': 'EntrezGene', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Catalonia', 'politicalLeader', 'Catalonia__PoliticalFunction__1'], ['Juan_Carlos_I', 'spouse', 'Princess_Sophia_of_Greece_and_Denmark'], ['Felipe_VI', 'parent', 'Juan_Carlos_I_of_Spain'], ['Juan_Carlos_I', 'child', 'Infanta_Elena,_Duchess_of_Lugo'], ['Carles_Puigdemont', 'termPeriod', 'Carles_Puigdemont__Tenure__5'], ['Catalonia', 'governingBody', 'Generalitat_de_Catalunya'], ['Spain', 'religion', 'Irreligion'], ['Felipe_VI', 'successor', 'Leonor,_Princess_of_Asturias'], ['Carles_Puigdemont', 'termPeriod', 'Carles_Puigdemont__Tenure__1'], ['Spain', 'leaderFunction', 'Spain__PersonFunction__2'], ['Felipe_VI', 'parent', 'Sophia_of_Greece_and_Denmark'], ['Carles_Puigdemont', 'termPeriod', 'Carles_Puigdemont__Tenure__7'], ['Arros-de-Nay', 'intercommunality', 'Communauté_de_communes_du_Pays_de_Nay'], ['Queen_Letizia_of_Spain', 'spouse', 'Alonso_Guerrero_Pérez'], ['Spain', 'leaderFunction', 'Spain__PersonFunction__1'], ['Carles_Puigdemont', 'termPeriod', 'Carles_Puigdemont__Tenure__2'], ['Catalonia', 'timeZone', 'Central_European_Summer_Time'], ['Juan_Carlos_I', 'child', 'Felipe_VI'], ['Catalonia', 'country', 'Spain'], ['Carles_Puigdemont', 'termPeriod', 'Carles_Puigdemont__Tenure__4'], ['Carles_Puigdemont', 'termPeriod', 'Carles_Puigdemont__Tenure__3'], ['Carles_Puigdemont', 'birthPlace', 'Amer,_Girona'], ['Juan_Carlos_I', 'child', 'Infanta_Cristina'], ['Catalonia', 'politicalLeader', 'Catalonia__PoliticalFunction__5'], ['Catalonia', 'politicalLeader', 'Catalonia__PoliticalFunction__3'], ['France', 'topLevelDomain', '.fr'], ['Queen_Letizia_of_Spain', 'spouse', 'Felipe_VI_of_Spain'], ['Spain', 'topLevelDomain', '.es'], ['Spain', 'currency', 'Euro'], ['Felipe_VI', 'predecessor', 'Juan_Carlos_I'], ['Carles_Puigdemont', 'birthPlace', 'Francoist_Spain'], ['Amer,_Girona', 'country', 'Spain'], ['Catalonia', 'timeZone', 'Central_European_Time'], ['Catalonia', 'politicalLeader', 'Catalonia__PoliticalFunction__2'], ['Generalitat_de_Catalunya', 'leader', 'Pere_Aragonès'], ['Spain', 'largestCity', 'Madrid'], ['Spain', 'legislature', 'Cortes_Generales'], ['Madrid', 'country', 'Spain'], ['Catalonia', 'politicalLeader', 'Catalonia__PoliticalFunction__4'], ['Carles_Puigdemont', 'residence', 'Belgium'], ['Carles_Puigdemont', 'termPeriod', 'Carles_Puigdemont__Tenure__6'], ['Arros-de-Nay', 'country', 'France'], ['Francoist_Spain', 'religion', 'National_Catholicism'], ['Carles_Puigdemont', 'party', 'Together_for_Catalonia_(2020)'], ['Felipe_VI', 'spouse', 'Queen_Letizia_of_Spain'], ['Carles_Puigdemont', 'residence', 'Waterloo,_Belgium'], ['Carles_Puigdemont', 'birthPlace', 'Catalonia'], ['Francoist_Spain', 'religion', 'Roman_Catholicism'], ['Spain', 'religion', 'Christianity'], ['Catalonia', 'governmentType', 'Devolution'], ['Arros-de-Nay', 'arrondissement', 'Pau,_Pyrénées-Atlantiques'], ['Catalonia', 'governmentType', 'Constitutional_monarchy']]Text: Felipe VI is the leader of Spain, a country where the people are called Spaniards. Arros negre is from the Catalonia region of Spain. Carles Puigdemont is the leader of Catalonia. bot:[('Arròs_negre', 'country', 'Spain'), ('Spain', 'demonym', 'Spaniards'), ('Catalonia', 'leader', 'Carles_Puigdemont'), ('Spain', 'leader', 'Felipe_VI'), ('A', 'r', 'r'), ('Arròs_negre', 'region', 'Catalonia'), ('Arròs_negre', 'type', 'Food'), ('Felipe_VI', 'type', 'Eukaryote'), ('Carles_Puigdemont', 'type', 'Person'), ('Spain', 'type', 'Location'), ('Felipe_VI', 'type', 'Person'), ('Carles_Puigdemont', 'type', 'Eukaryote'), ('Catalonia', 'type', 'Village'), ('Spain', 'type', 'Country')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'MilitaryConflict': {'label': 'military conflict', 'comment': '-'}, 'InternationalOrganisation': {'label': 'international organisation', 'comment': 'An international organisation is either a private or a public organisation seeking to accomplish goals across country borders'}, 'ConcentrationCamp': {'label': 'Concentration camp', 'comment': 'camp in which people are imprisoned or confined, commonly in large groups, without trial.\r\nIncludes concentration, extermination, transit, detention, internment, (forced) labor, prisoner-of-war, Gulag; Nazi camps related to the Holocaust'}, 'HistoricalRegion': {'label': 'Historical region', 'comment': 'a place which used to be a region.'}, 'MilitaryAircraft': {'label': 'military aircraft', 'comment': '-'}} Available Properties: {'battle': {'label': 'ICD1', 'description': 'No description available DataTypeProperty'}, 'commandant': {'label': 'cause of death', 'description': "underlying or immediate cause of death. Underlying cause (e.g. car accident, stomach cancer) preferred. Use 'manner of death' (P1196) for broadest category, e.g. natural causes, accident, homicide, suicide DataTypeProperty"}, 'commander': {'label': 'imposed danse score', 'description': 'No description available DataTypeProperty'}, 'enemy': {'label': 'quote', 'description': 'No description available DataTypeProperty'}, 'governmentPlace': {'label': 'melting point (K)', 'description': 'No description available DataTypeProperty'}, 'historicalRegion': {'label': 'historical region', 'description': 'geographic area which at some point in time had a cultural, ethnic, linguistic or political basis, regardless of present-day borders DataTypeProperty'}, 'isPartOfMilitaryConflict': {'label': 'molecular weight', 'description': 'No description available DataTypeProperty'}, 'location': {'label': 'currency code', 'description': 'ISO 4217 currency designators. DataTypeProperty'}, 'militaryCommand': {'label': 'military command', 'description': 'For persons who are notable as commanding officers, the units they commanded. Dates should be given if multiple notable commands were held. DataTypeProperty'}, 'notableCommander': {'label': 'ncaa season', 'description': 'No description available DataTypeProperty'}, 'opponent': {'label': 'bicycle information', 'description': "Information on station's bicycle facilities. DataTypeProperty"}, 'place': {'label': 'Recovery Cases', 'description': 'Number of recovered cases in a pandemic DataTypeProperty'}, 'regime': {'label': 'bicycle information', 'description': "Information on station's bicycle facilities. DataTypeProperty"}, 'relatedPlaces': {'label': 'cuisine', 'description': 'National cuisine of a Food or Restaurant DataTypeProperty'}, 'secondCommander': {'label': 'Number Of Capital Deputies', 'description': 'No description available DataTypeProperty'}, 'thirdCommander': {'label': 'number of films', 'description': 'No description available DataTypeProperty'}, 'usedInWar': {'label': 'linked space', 'description': 'No description available DataTypeProperty'}, 'war': {'label': 'wars', 'description': 'No description available DataTypeProperty'}, 'wikiPageWikiLink': {'label': 'army', 'description': 'An army is the ground force of the nation DataTypeProperty'}} Subgraph:[array(['World_War_II', 'commander', 'Franklin_D._Roosevelt'], dtype=object) array(['World_War_II', 'commander', 'Benito_Mussolini'], dtype=object) array(['Winston_Churchill', 'militaryService', 'Winston_Churchill__MilitaryService__1'], dtype=object) array(['Benito_Mussolini__MilitaryService__1', 'militaryUnit', 'Bersaglieri'], dtype=object) array(['World_War_II', 'commander', 'Adolf_Hitler'], dtype=object) array(['Benito_Mussolini__MilitaryService__1', 'battle', 'Italian_invasion_of_Albania'], dtype=object) array(['World_War_II', 'commander', 'Allied_leaders_of_World_War_II'], dtype=object) array(['Benito_Mussolini__MilitaryService__1', 'battle', 'Second_Italo-Ethiopian_War'], dtype=object) array(['Airey_Neave__MilitaryService__1', 'battle', 'Battle_of_France'], dtype=object) array(['Benito_Mussolini__MilitaryService__1', 'battle', 'Italian_military_intervention_in_Spain'], dtype=object) array(['World_War_II', 'commander', 'Axis_leaders_of_World_War_II'], dtype=object) array(['World_War_II', 'commander', 'Joseph_Stalin'], dtype=object) array(['World_War_II', 'commander', 'Hirohito'], dtype=object) array(['Joseph_Stalin', 'militaryService', 'Joseph_Stalin__MilitaryService__1'], dtype=object) array(['Airey_Neave', 'militaryService', 'Airey_Neave__MilitaryService__1'], dtype=object) array(['Benito_Mussolini__MilitaryService__1', 'battle', 'Second_World_War'], dtype=object) array(['World_War_II', 'commander', 'Winston_Churchill'], dtype=object) array(['Airey_Neave__MilitaryService__1', 'militaryUnit', 'Royal_Artillery'], dtype=object) array(['Airey_Neave__MilitaryService__1', 'battle', 'Siege_of_Calais_(1940)'], dtype=object) array(['Benito_Mussolini', 'militaryService', 'Benito_Mussolini__MilitaryService__1'], dtype=object) array(['Adolf_Hitler', 'militaryService', 'Adolf_Hitler__MilitaryService__1'], dtype=object) array(['Benito_Mussolini__MilitaryService__1', 'battle', 'First_World_War'], dtype=object) array(['Benito_Mussolini__MilitaryService__1', 'battle', 'Pacification_of_Libya'], dtype=object) ]Text: The East African Campaign was part of World War II, a war in which Benito Mussolini was a commander and in which Airey Neave fought. bot:[('Airey_Neave', 'battle', 'World_War_II'), ('World_War_II', 'commander', 'Benito_Mussolini'), ('World_War_II', 'place', 'East_African_Campaign_World_War_II'), ('Airey_Neave', 'type', 'Eukaryote'), ('World_War_II', 'type', 'Event')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'Fort': {'label': 'fort', 'comment': 'Fortified place, most of the time to protect traffic routes'}, 'CountrySeat': {'label': 'country estate', 'comment': 'A country seat is a rural patch of land owned by a land owner.'}, 'Mill': {'label': 'Mill', 'comment': 'a unit operation designed to break a solid material into smaller pieces'}, 'Memorial': {'label': 'memorial', 'comment': 'A monument erected to commemorate a person, an event and/or group. In the case of a person, this might be a grave or tomb.'}, 'Cemetery': {'label': 'cemetery', 'comment': 'A burial place'}, 'CityDistrict': {'label': 'city district', 'comment': 'District, borough, area or neighbourhood in a city or town'}, 'District': {'label': 'district', 'comment': '-'}, 'MilitaryConflict': {'label': 'military conflict', 'comment': '-'}, 'HistoricalDistrict': {'label': 'Historical district', 'comment': 'a place which used to be a district.'}, 'GraveMonument': {'label': 'grave stone or grave monument', 'comment': 'A monument erected on a tomb, or a memorial stone.'}} Available Properties: {'activity': {'label': 'locationName', 'description': 'Location of the thing as string. Use "location" if the location is a resource DataTypeProperty'}, 'announcedFrom': {'label': 'number of platform levels', 'description': 'Number of levels of platforms at the station. DataTypeProperty'}, 'biggestCity': {'label': 'Deaths', 'description': 'Permanent, irreversible cessation of all biological functions that sustain a living organism ObjectTypeProperty'}, 'ceremonialCounty': {'label': 'UN/LOCODE', 'description': 'UN/LOCODE, the United Nations Code for Trade and Transport Locations, is a geographic coding scheme developed and maintained by United Nations Economic Commission for Europe (UNECE), a unit of the United Nations. UN/LOCODE assigns codes to locations used in trade and transport with functions such as seaports, rail and road terminals, airports, post offices and border crossing points. DataTypeProperty'}, 'collectionSize': {'label': 'diseasesDb', 'description': 'No description available DataTypeProperty'}, 'country': {'label': 'eye colour', 'description': 'No description available DataTypeProperty'}, 'county': {'label': 'INSEE code', 'description': 'numerical indexing code used by the French National Institute for Statistics and Economic Studies (INSEE) to identify various entities DataTypeProperty'}, 'countySeat': {'label': 'DosesFirst', 'description': 'Number of first vaccine doses. DataTypeProperty'}, 'draftLeague': {'label': 'draft league', 'description': 'No description available DataTypeProperty'}, 'governmentCountry': {'label': 'boiling point (K)', 'description': 'No description available DataTypeProperty'}, 'highestBuildingInYear': {'label': 'highest building in year', 'description': 'No description available DataTypeProperty'}, 'isCityState': {'label': 'is a city state', 'description': 'No description available DataTypeProperty'}, 'isPartOf': {'label': 'orbital inclination', 'description': 'orbital inclination of a stable orbit DataTypeProperty'}, 'largestCity': {'label': 'function start year', 'description': 'No description available DataTypeProperty'}, 'largestMetro': {'label': 'weight (kg)', 'description': 'No description available DataTypeProperty'}, 'militaryGovernment': {'label': 'military government', 'description': 'No description available DataTypeProperty'}, 'musicType': {'label': 'main islands', 'description': 'No description available DataTypeProperty'}, 'superTribus': {'label': 'long distance piste number', 'description': 'No description available DataTypeProperty'}, 'type': {'label': 'other wins', 'description': 'No description available DataTypeProperty'}, 'voiceType': {'label': 'EntrezGene', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Roman_Catholic_Diocese_of_Fort_Worth', 'country', 'United_States'], ['United_States_House_of_Representatives', 'location', 'United_States_of_America'], ['Choctaw_Stadium', 'architect', 'David_M._Schwarz'], ['Roman_Catholic_Archdiocese_of_San_Antonio', 'territory', 'Kendall_County,_Texas'], ['Roman_Catholic_Archdiocese_of_San_Antonio', 'territory', 'Frio_County,_Texas'], ['Choctaw_Stadium', 'architect', 'Architect_of_record'], ['Roman_Catholic_Archdiocese_of_San_Antonio', 'territory', 'Edwards_County,_Texas'], ['United_States', 'ethnicGroup', 'Native_Americans_in_the_United_States'], ['Choctaw_Stadium', 'tenant', 'North_Texas_SC'], ['Roman_Catholic_Archdiocese_of_San_Antonio', 'territory', 'Uvalde_County,_Texas'], ['United_States', 'ethnicGroup', 'African_Americans'], ['Roman_Catholic_Archdiocese_of_San_Antonio', 'territory', 'San_Antonio,_Texas'], ['Roman_Catholic_Archdiocese_of_San_Antonio', 'jurisdiction', 'Archdiocese'], ['Roman_Catholic_Archdiocese_of_San_Antonio', 'territory', 'Gillespie_County,_Texas'], ['Roman_Catholic_Archdiocese_of_San_Antonio', 'territory', 'Kerr_County,_Texas'], ['Roman_Catholic_Archdiocese_of_San_Antonio', 'territory', 'Medina_County,_Texas'], ['New_York_City', 'country', 'United_States'], ['Roman_Catholic_Archdiocese_of_San_Antonio', 'territory', 'Real_County,_Texas'], ['Roman_Catholic_Archdiocese_of_San_Antonio', 'territory', 'Kinney_County,_Texas'], ['Roman_Catholic_Archdiocese_of_San_Antonio', 'territory', 'Karnes_County,_Texas'], ['Roman_Catholic_Archdiocese_of_San_Antonio', 'territory', 'Comal_County,_Texas'], ['Roman_Catholic_Archdiocese_of_San_Antonio', 'territory', 'Guadalupe_County,_Texas'], ['Choctaw_Stadium', 'architect', 'HKS,_Inc.'], ['Choctaw_Stadium', 'tenant', 'Texas_Rangers_(baseball)'], ['United_States_Senate', 'isPartOf', 'United_States_Congress'], ['Choctaw_Stadium', 'tenant', 'Dallas_Jackals'], ['United_States_House_of_Representatives', 'location', 'Washington,_D.C.'], ['Choctaw_Stadium', 'tenant', 'Arlington_Renegades'], ['United_States_House_of_Representatives', 'isPartOf', 'United_States_Congress'], ['United_States', 'house', 'United_States_Senate'], ['Roman_Catholic_Diocese_of_Fort_Worth', 'province', 'Roman_Catholic_Archdiocese_of_San_Antonio'], ['Dallas_Jackals', 'location', 'Arlington,_Texas'], ['New_York_City', 'namedAfter', 'James_II_of_England'], ['United_States', 'ethnicGroup', 'Multiracial_Americans'], ['United_States', 'ethnicGroup', 'Race_and_ethnicity_in_the_United_States_census'], ['United_States', 'ethnicGroup', 'Asian_Americans'], ['Roman_Catholic_Archdiocese_of_San_Antonio', 'province', 'List_of_the_Roman_Catholic_dioceses_of_the_United_States'], ['Roman_Catholic_Archdiocese_of_San_Antonio', 'territory', 'Atascosa_County,_Texas'], ['United_States', 'ethnicGroup', 'Pacific_Islander_Americans'], ['Roman_Catholic_Diocese_of_Fort_Worth', 'territory', 'North_Texas'], ['United_States', 'ethnicGroup', 'White_Americans'], ['United_States_House_of_Representatives', 'location', 'United_States_Capitol'], ['Roman_Catholic_Archdiocese_of_San_Antonio', 'territory', 'McMullen_County,_Texas'], ['United_States', 'house', 'United_States_House_of_Representatives'], ['United_States', 'ethnicGroup', 'Hispanic_and_Latino_Americans'], ['Choctaw_Stadium', 'location', 'Arlington,_Texas'], ['Roman_Catholic_Archdiocese_of_San_Antonio', 'territory', 'Val_Verde_County,_Texas'], ['Roman_Catholic_Archdiocese_of_San_Antonio', 'territory', 'Gonzales_County,_Texas'], ['United_States', 'largestCity', 'New_York_City'], ['Roman_Catholic_Archdiocese_of_San_Antonio', 'territory', 'Wilson_County,_Texas'], ['Roman_Catholic_Archdiocese_of_San_Antonio', 'territory', 'Bexar_County,_Texas']]Text: Tarrant County, with the largest city of Fort Worth, is home to Arlington, Texas, United States. bot:[('Texas', 'country', 'United_States'), ('Arlington,_Texas', 'isPartOf', 'Texas'), ('Arlington,_Texas', 'isPartOf', 'Tarrant_County,_Texas'), ('Tarrant_County,_Texas', 'largestCity', 'Fort_Worth,_Texas'), ('Texas', 'type', 'Region'), ('United_States', 'type', 'Location'), ('Tarrant_County,_Texas', 'type', 'Place'), ('Tarrant_County,_Texas', 'type', 'AdministrativeRegion'), ('Arlington,_Texas', 'type', 'Location'), ('Fort_Worth,_Texas', 'type', 'Location'), ('United_States', 'type', 'Country'), ('Arlington,_Texas', 'type', 'City'), ('Fort_Worth,_Texas', 'type', 'Place'), ('Texas', 'type', 'AdministrativeRegion')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'Town': {'label': 'town', 'comment': 'a settlement ranging from a few hundred to several thousand (occasionally hundreds of thousands). The precise meaning varies between countries and is not always a matter of legal definition. Usually, a town is thought of as larger than a village but smaller than a city, though there are exceptions to this rule.'}, 'CityDistrict': {'label': 'city district', 'comment': 'District, borough, area or neighbourhood in a city or town'}, 'Canton': {'label': 'canton', 'comment': 'An administrative (France) or lawcourts (Netherlands) body governing a territorial unity on the municipal level or somewhat above'}, 'District': {'label': 'district', 'comment': '-'}, 'City': {'label': 'city', 'comment': 'a relatively large and permanent settlement, particularly a large urban settlement'}, 'Province': {'label': 'province', 'comment': 'An administrative body governing a territorial unity on the intermediate level, between local and national level'}, 'Area': {'label': 'area', 'comment': 'Area of something. Use "value" for the value, "min" & "max" for a range (if uncertain) and "rank" (integer) for the rank of that thing amongst its siblings (eg regions ordered by area)'}, 'Monastery': {'label': 'monastery', 'comment': 'Monastery denotes the building, or complex of buildings, comprising the domestic quarters and workplace(s) of monastics, whether monks or nuns, and whether living in community or alone (hermits). The monastery generally includes a place reserved for prayer which may be a chapel, church or temple, and may also serve as an oratory.'}, 'HistoricalDistrict': {'label': 'Historical district', 'comment': 'a place which used to be a district.'}, 'Valley': {'label': 'valley', 'comment': 'a depression with predominant extent in one direction'}} Available Properties: {'Lake/areaOfCatchment': {'label': 'number of districts', 'description': 'No description available DataTypeProperty'}, 'PopulatedPlace/areaTotal': {'label': 'number of districts', 'description': 'No description available DataTypeProperty'}, 'PopulatedPlace/areaUrban': {'label': 'Deaths', 'description': 'Permanent, irreversible cessation of all biological functions that sustain a living organism ObjectTypeProperty'}, 'areaOfCatchment': {'label': 'date of latest election', 'description': 'No description available DataTypeProperty'}, 'biggestCity': {'label': 'Deaths', 'description': 'Permanent, irreversible cessation of all biological functions that sustain a living organism ObjectTypeProperty'}, 'congressionalDistrict': {'label': 'reporting mark', 'description': 'A reporting mark is a two-, three-, or four-letter alphabetic code used to identify owners or lessees of rolling stock and other equipment used on the North American railroad network. DataTypeProperty'}, 'highestState': {'label': 'power output (kW)', 'description': 'No description available DataTypeProperty'}, 'lake': {'label': 'Gray page', 'description': "Refers to the famous 1918 edition of Gray's Anatomy. DataTypeProperty"}, 'largestCity': {'label': 'function start year', 'description': 'No description available DataTypeProperty'}, 'largestMetro': {'label': 'weight (kg)', 'description': 'No description available DataTypeProperty'}, 'largestSettlement': {'label': 'monument code (provinciall)', 'description': 'Code assigned to (Dutch) monuments at the provincial level, mostly for monuments in the countryside, or for waterworks DataTypeProperty'}, 'locatedInArea': {'label': 'mount', 'description': 'creature ridden by the subject, for instance a horse DataTypeProperty'}, 'locationCity': {'label': 'date of latest election', 'description': 'No description available DataTypeProperty'}, 'maximumArea': {'label': 'maximum area', 'description': 'No description available DataTypeProperty'}, 'numberOfCanton': {'label': 'number of canton', 'description': 'No description available DataTypeProperty'}, 'numberOfCounties': {'label': 'number of counties', 'description': 'No description available DataTypeProperty'}, 'numberOfDistricts': {'label': 'number of districts', 'description': 'No description available DataTypeProperty'}, 'outskirts': {'label': 'number of counties', 'description': 'No description available DataTypeProperty'}, 'sizeMap': {'label': 'size map', 'description': 'No description available DataTypeProperty'}, 'twinTown': {'label': 'project reference ID', 'description': 'The reference identification of the project. DataTypeProperty'}} Subgraph:[['Gill_Coliseum', 'location', 'United_States'], ['United_States', 'largestCity', 'New_York_City'], ['Gill_Coliseum', 'location', 'Corvallis,_Oregon'], ['Oregon', 'largestCity', 'Portland,_Oregon'], ['Gill_Coliseum', 'location', 'Oregon_State_University'], ['Oregon_State_University', 'city', 'Corvallis,_Oregon']]Text: The largest city in Benton County Oregon is Corvallis. bot:[('Benton_County,_Oregon', 'largestCity', 'Corvallis,_Oregon'), ('Benton_County,_Oregon', 'type', 'AdministrativeRegion')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'Engineer': {'label': 'engineer', 'comment': '-'}, 'University': {'label': 'university', 'comment': '-'}, 'Manhwa': {'label': 'manhwa', 'comment': 'Korean term for comics and print cartoons'}, 'EducationalInstitution': {'label': 'educational institution', 'comment': '-'}, 'College': {'label': 'college', 'comment': '-'}} Available Properties: {'School/campusSize': {'label': 'fight', 'description': 'No description available DataTypeProperty'}, 'biggestCity': {'label': 'Deaths', 'description': 'Permanent, irreversible cessation of all biological functions that sustain a living organism ObjectTypeProperty'}, 'campus': {'label': 'fight', 'description': 'No description available DataTypeProperty'}, 'campusSize': {'label': 'setting of play', 'description': 'The places and time where the play takes place. DataTypeProperty'}, 'collectionSize': {'label': 'diseasesDb', 'description': 'No description available DataTypeProperty'}, 'country': {'label': 'eye colour', 'description': 'No description available DataTypeProperty'}, 'engineer': {'label': 'number of islands', 'description': 'No description available DataTypeProperty'}, 'facultySize': {'label': 'faculty size', 'description': 'number of faculty members DataTypeProperty'}, 'governmentCountry': {'label': 'boiling point (K)', 'description': 'No description available DataTypeProperty'}, 'institution': {'label': 'setting of play', 'description': 'The places and time where the play takes place. DataTypeProperty'}, 'largestCity': {'label': 'function start year', 'description': 'No description available DataTypeProperty'}, 'largestMetro': {'label': 'weight (kg)', 'description': 'No description available DataTypeProperty'}, 'managementRegion': {'label': 'mass (kg)', 'description': 'No description available DataTypeProperty'}, 'numberOfAcademicStaff': {'label': 'number of academic staff', 'description': 'No description available DataTypeProperty'}, 'numberOfUndergraduateStudents': {'label': 'number of undergraduate students', 'description': 'No description available DataTypeProperty'}, 'principalEngineer': {'label': 'casualties', 'description': 'Number of casualties of a MilitaryConflict or natural disaster such as an Earthquake DataTypeProperty'}, 'provost': {'label': 'number of the previous track', 'description': 'number of the previous track of the recorded work. DataTypeProperty'}, 'rightTributary': {'label': 'affair', 'description': 'No description available DataTypeProperty'}, 'river': {'label': 'code istat', 'description': 'Indexing code used for Italian municipalities DataTypeProperty'}, 'riverMouth': {'label': 'italic title', 'description': 'Controls whether the title of the article is shown in italics. DataTypeProperty'}, 'university': {'label': 'number of vehicles', 'description': 'Number of vehicles used in the transit system. DataTypeProperty'}} Subgraph:[array(['Thiruvananthapuram', 'country', 'India'], dtype=object) array(['India', 'largestCity', 'Delhi'], dtype=object) array(['Delhi', 'country', 'India'], dtype=object) array(['India', 'largestCity', 'Mumbai'], dtype=object) array(['APJ_Abdul_Kalam_Technological_University', 'state', 'Kerala'], dtype=object) array(['APJ_Abdul_Kalam_Technological_University', 'city', 'Thiruvananthapuram'], dtype=object) array(['Mumbai', 'country', 'India'], dtype=object) array(['Ganges', 'mouthPlace', 'Ganges_Delta'], dtype=object) array(['Ganges', 'mouthMountain', 'Ganges_Delta'], dtype=object)]Text: AWH Engineering College in India has a staff size of 250 people. The Ganges River and Mumbai, the largest city, are also found in India. bot:[('APJ_Abdul_Kalam_Technological_University', 'country', 'India'), ('APJ_Abdul_Kalam_Technological_University', 'facultySize', '250'), ('India', 'largestCity', 'Mumbai'), ('India', 'river', 'Ganges'), ('India', 'type', 'Country')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'SoccerPlayer': {'label': 'soccer player', 'comment': '-'}, 'SoccerManager': {'label': 'soccer manager', 'comment': '-'}, 'BaseballPlayer': {'label': 'baseball player', 'comment': '-'}, 'GridironFootballPlayer': {'label': 'gridiron football player', 'comment': 'Gradiron football, also called North American football, is a family of soccer team games played primarily in the United States and Canada.'}, 'CanadianFootballPlayer': {'label': 'canadian football Player', 'comment': '-'}} Available Properties: {'birthName': {'label': 'birth name', 'description': 'full name of a person at birth, if different from their current, generally used name DataTypeProperty'}, 'birthPlace': {'label': 'Bioavailability', 'description': '"The rate and extent to which the active ingredient or active moiety is absorbed from a drug product and becomes available at the site of action. For drug products that are not intended to be absorbed into the bloodstream, bioavailability may be assessed by measurements intended to reflect the rate and extent to which the active ingredient or active moiety becomes available at the site of action (21CFR320.1)." DataTypeProperty'}, 'collectionSize': {'label': 'diseasesDb', 'description': 'No description available DataTypeProperty'}, 'country': {'label': 'eye colour', 'description': 'No description available DataTypeProperty'}, 'doctoralAdvisor': {'label': 'galicianSpeakersDate', 'description': 'The last inquiry date about linguistics uses. DataTypeProperty'}, 'doctoralStudent': {'label': 'galicianSpeakersPercentage', 'description': 'Percentage of Galician speakers. DataTypeProperty'}, 'formerCoach': {'label': 'number of trails', 'description': 'Number of trails in ski area. DataTypeProperty'}, 'frazioni': {'label': 'average speed (km/s)', 'description': 'The average speed of a thing. DataTypeProperty'}, 'governmentCountry': {'label': 'boiling point (K)', 'description': 'No description available DataTypeProperty'}, 'leader': {'label': 'number of all MuscialArtist playing the style', 'description': 'No description available DataTypeProperty'}, 'leaderName': {'label': 'original title', 'description': 'The original title of the work, most of the time in the original language as well DataTypeProperty'}, 'leaderParty': {'label': 'election majority', 'description': 'number of votes the office holder attained DataTypeProperty'}, 'location': {'label': 'currency code', 'description': 'ISO 4217 currency designators. DataTypeProperty'}, 'locationCity': {'label': 'date of latest election', 'description': 'No description available DataTypeProperty'}, 'mostSuccessfulPlayer': {'label': 'Wikipage modification datetime', 'description': "Reserved for DBpedia '''''' DataTypeProperty"}, 'nationality': {'label': 'national tournament bronze', 'description': 'No description available DataTypeProperty'}, 'numberOfSoccerPlayerInCountryRepre': {'label': 'number of SoccerPlayers in Country Repre', 'description': 'No description available DataTypeProperty'}, 'numberOfSoccerPlayersBornInPlace': {'label': 'number of SoccerPlayers born in Place', 'description': 'No description available DataTypeProperty'}, 'oldTeamCoached': {'label': 'area urban (km2)', 'description': 'No description available DataTypeProperty'}} Subgraph:[array(['Argentina_national_football_team', 'stadium', 'San_Juan,_Argentina'], dtype=object) array(['Argentina_national_football_team', 'stadium', 'Estadio_Ciudad_de_La_Plata'], dtype=object) array(['Afro-Uruguayans', 'populationPlace', 'Palermo,_Montevideo'], dtype=object) array(['Argentina_national_football_team', 'stadium', 'Córdoba,_Argentina'], dtype=object) array(['Montevideo', 'founder', 'Bruno_Mauricio_de_Zabala'], dtype=object) array(['Argentina_national_football_team', 'stadium', 'La_Plata'], dtype=object) array(['Argentina_national_football_team', 'stadium', 'Estadio_San_Juan_del_Bicentenario'], dtype=object) array(['Uruguay', 'ethnicGroup', 'Asian_Latin_American'], dtype=object) array(['Uruguay', 'ethnicGroup', 'Afro-Uruguayans'], dtype=object) array(['Argentina_national_football_team', 'stadium', 'La_Bombonera'], dtype=object) array(['Argentina_national_football_team', 'stadium', 'Mendoza,_Argentina'], dtype=object) array(['Bruno_Mauricio_de_Zabala', 'birthPlace', 'Durango,_Biscay'], dtype=object) array(['Argentina_national_football_team', 'stadium', 'Estadio_Mario_Alberto_Kempes'], dtype=object) array(['Bruno_Mauricio_de_Zabala', 'birthPlace', 'Crown_of_Castile'], dtype=object) array(['Uruguay', 'ethnicGroup', 'Indigenous_peoples_in_Uruguay'], dtype=object) array(['Argentina_national_football_team', 'stadium', 'Estadio_Único_Madre_de_Ciudades'], dtype=object) array(['Argentina_national_football_team', 'stadium', 'Estadio_Malvinas_Argentinas'], dtype=object) array(['Afro-Uruguayans', 'populationPlace', 'Montevideo'], dtype=object) array(['Uruguay', 'ethnicGroup', 'White_Latin_American'], dtype=object) array(['Alfredo_Brown', 'birthPlace', 'Argentina_national_football_team'], dtype=object) array(['Argentina_national_football_team', 'stadium', 'Santiago_del_Estero'], dtype=object) array(['Argentina_national_football_team', 'stadium', 'Buenos_Aires'], dtype=object) array(['Argentina_national_football_team', 'stadium', 'Estadio_Monumental_Antonio_Vespucio_Liberti'], dtype=object)]Text: Alfredo Zitarrosa was born in Montevideo, in the country of Uruguay, the leader of which, is Raul Fernando Sendic Rodriguez. bot:[('Alfredo_Zitarrosa', 'birthPlace', 'Montevideo'), ('Montevideo', 'country', 'Uruguay'), ('Uruguay', 'leader', 'Raúl_Fernando_Sendic_Rodríguez'), ('Uruguay', 'type', 'Country'), ('Montevideo', 'type', 'City')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'Guitarist': {'label': 'guitarist', 'comment': '-'}, 'Guitar': {'label': 'guitar', 'comment': 'Describes the guitar'}, 'Instrumentalist': {'label': 'instrumentalist', 'comment': '-'}, 'MusicalArtist': {'label': 'musical artist', 'comment': '-'}, 'Instrument': {'label': 'Instrument', 'comment': 'Describes all musical instrument'}, 'MusicDirector': {'label': 'music director', 'comment': 'A person who is the director of an orchestra or concert band.'}, 'Wrestler': {'label': 'wrestler', 'comment': '-'}, 'Musical': {'label': 'musical', 'comment': '-'}, 'Band': {'label': 'Band', 'comment': '-'}, 'Singer': {'label': 'Singer', 'comment': 'a person who sings.'}} Available Properties: {'administrativeCenter': {'label': 'musicFormat', 'description': 'The format of the album: EP, Single etc. DataTypeProperty'}, 'afdbId': {'label': 'afdb id', 'description': 'No description available DataTypeProperty'}, 'associatedBand': {'label': 'human development index rank', 'description': 'No description available DataTypeProperty'}, 'associatedMusicalArtist': {'label': 'iafd id', 'description': 'No description available DataTypeProperty'}, 'bandMember': {'label': 'ensemble', 'description': 'No description available DataTypeProperty'}, 'characterInPlay': {'label': 'character in play', 'description': 'Name of a character in play. DataTypeProperty'}, 'chorusCharacterInPlay': {'label': 'chorus character in play', 'description': 'The name of the (Greek) chorus character in play. DataTypeProperty'}, 'formerBandMember': {'label': 'last flight start date', 'description': 'No description available DataTypeProperty'}, 'imdbId': {'label': 'IMDB id', 'description': 'International Movie Database ID. Applies to Films, Actors, etc DataTypeProperty'}, 'instrument': {'label': 'molar mass', 'description': 'No description available DataTypeProperty'}, 'musicBand': {'label': 'height (cm)', 'description': 'No description available DataTypeProperty'}, 'musicBrainzArtistId': {'label': 'MusicBrainz artist id', 'description': 'MusicBrainz artist. Applies to artists DataTypeProperty'}, 'musicBy': {'label': 'national championship', 'description': 'No description available DataTypeProperty'}, 'musicalArtist': {'label': 'weight (kg)', 'description': 'No description available DataTypeProperty'}, 'musicalBand': {'label': 'apoapsis (km)', 'description': 'No description available DataTypeProperty'}, 'musicalKey': {'label': 'musical key', 'description': 'No description available DataTypeProperty'}, 'musicians': {'label': 'density (μ3)', 'description': 'No description available DataTypeProperty'}, 'nndbId': {'label': 'NNDB id', 'description': 'No description available DataTypeProperty'}, 'numberOfMusicalArtistInstrument': {'label': 'number of all MuscialArtist playing the instrument', 'description': 'No description available DataTypeProperty'}, 'terytCode': {'label': 'band', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Joey_Spampinato', 'associatedMusicalArtist', 'NRBQ'], ['Arizona_Diamondbacks', 'owner', 'Ken_Kendrick'], ['Joey_Spampinato', 'associatedMusicalArtist', 'Keith_Richards'], ['NRBQ', 'formerBandMember', 'Al_Anderson_(NRBQ)'], ['NRBQ', 'formerBandMember', 'Tom_Ardolino'], ['NRBQ', 'formerBandMember', 'Pete_Donnelly_(musician)'], ['NRBQ', 'formerBandMember', 'Joey_Spampinato'], ['Tom_Ardolino', 'instrument', 'Drum_kit'], ['Joey_Spampinato', 'associatedMusicalArtist', 'The_Spampinato_Brothers'], ['Joey_Spampinato', 'associatedMusicalArtist', 'Skeeter_Davis'], ['Joey_Spampinato', 'associatedMusicalArtist', 'Eric_Clapton'], ['Tom_Ardolino', 'associatedMusicalArtist', 'NRBQ'], ['Chase_Anderson', 'position', 'Pitcher'], ['Joey_Spampinato', 'associatedMusicalArtist', 'Chuck_Berry'], ['Joey_Spampinato', 'associatedMusicalArtist', 'Kami_Lyle'], ['NRBQ', 'formerBandMember', 'Waco_Brothers'], ['Tom_Ardolino', 'associatedMusicalArtist', 'The_Minus_5'], ['Chase_Anderson', 'debutTeam', 'Arizona_Diamondbacks']]Text: AI Anderson from the band NRBQ plays the guitar. bot:[('Al_Anderson_(NRBQ_band)', 'instrument', 'Guitar'), ('Al_Anderson_(NRBQ_band)', 'type', 'Hyphen-minus')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'City': {'label': 'city', 'comment': 'a relatively large and permanent settlement, particularly a large urban settlement'}, 'Capital': {'label': 'Capital', 'comment': 'A municipality enjoying primary status in a state, country, province, or other region as its seat of government.'}, 'CapitalOfRegion': {'label': 'Capital of region', 'comment': 'seat of a first order administration division.'}, 'Country': {'label': 'country', 'comment': '-'}, 'Ocean': {'label': 'Ocean', 'comment': "A body of saline water that composes much of a planet's hydrosphere."}, 'SubMunicipality': {'label': 'borough', 'comment': 'An administrative body governing a territorial unity on the lowest level, administering part of a municipality'}, 'Continent': {'label': 'continent', 'comment': '-'}, 'Cape': {'label': 'cape', 'comment': '-'}, 'State': {'label': 'state', 'comment': '-'}, 'Island': {'label': 'island', 'comment': '-'}} Available Properties: {'announcedFrom': {'label': 'number of platform levels', 'description': 'Number of levels of platforms at the station. DataTypeProperty'}, 'biggestCity': {'label': 'Deaths', 'description': 'Permanent, irreversible cessation of all biological functions that sustain a living organism ObjectTypeProperty'}, 'capital': {'label': 'function end year', 'description': 'No description available DataTypeProperty'}, 'capitalCoordinates': {'label': 'capital coordinates', 'description': 'No description available DataTypeProperty'}, 'capitalCountry': {'label': 'speed limit (kmh)', 'description': 'No description available DataTypeProperty'}, 'capitalPlace': {'label': 'election date', 'description': 'No description available DataTypeProperty'}, 'capitalPosition': {'label': 'MeSH ID', 'description': 'No description available DataTypeProperty'}, 'city': {'label': 'illiteracy', 'description': 'No description available DataTypeProperty'}, 'collectionSize': {'label': 'diseasesDb', 'description': 'No description available DataTypeProperty'}, 'country': {'label': 'eye colour', 'description': 'No description available DataTypeProperty'}, 'governmentCountry': {'label': 'boiling point (K)', 'description': 'No description available DataTypeProperty'}, 'iataAirlineCode': {'label': 'IATA code', 'description': 'IATA designation for airline companies DataTypeProperty'}, 'iataLocationIdentifier': {'label': 'IATA Location Identifier', 'description': 'No description available DataTypeProperty'}, 'isPartOf': {'label': 'orbital inclination', 'description': 'orbital inclination of a stable orbit DataTypeProperty'}, 'largestCity': {'label': 'function start year', 'description': 'No description available DataTypeProperty'}, 'largestMetro': {'label': 'weight (kg)', 'description': 'No description available DataTypeProperty'}, 'locationCity': {'label': 'date of latest election', 'description': 'No description available DataTypeProperty'}, 'musicType': {'label': 'main islands', 'description': 'No description available DataTypeProperty'}, 'numberOfMunicipalities': {'label': 'Number Of Municipalities', 'description': 'No description available DataTypeProperty'}, 'superTribus': {'label': 'long distance piste number', 'description': 'No description available DataTypeProperty'}, 'twinTown': {'label': 'project reference ID', 'description': 'The reference identification of the project. DataTypeProperty'}, 'type': {'label': 'other wins', 'description': 'No description available DataTypeProperty'}, 'voiceType': {'label': 'EntrezGene', 'description': 'No description available DataTypeProperty'}, 'winsAtAlpg': {'label': 'internationally', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Warner_Bros._Discovery', 'locationCity', 'New_York_City'], ['United_States_House_of_Representatives', 'location', 'United_States_of_America'], ['George_Washington', 'birthPlace', 'British_America'], ['George_Washington_Birthplace_National_Monument', 'nearestCity', 'Colonial_Beach,_Virginia'], ['George_Washington', 'birthPlace', 'Colony_of_Virginia'], ['George_Washington_Birthplace_National_Monument', 'location', 'Virginia'], ['George_Washington_Birthplace_National_Monument', 'nearestCity', 'Virginia'], ['DC_Comics', 'parentCompany', 'Warner_Bros._Discovery'], ['United_States', 'ethnicGroup', 'Native_Americans_in_the_United_States'], ['DC_Comics', 'country', 'United_States'], ['United_States', 'ethnicGroup', 'African_Americans'], ['DC_Comics', 'parentCompany', 'DC_Entertainment'], ['United_States', 'ethnicGroup', 'Multiracial_Americans'], ['New_York_City', 'country', 'United_States'], ['United_States_House_of_Representatives', 'location', 'Washington,_D.C.'], ['DC_Comics', 'genre', 'Fantasy_fiction'], ['United_States_Senate', 'isPartOf', 'United_States_Congress'], ['George_Washington', 'restingPlace', 'Mount_Vernon'], ['New_Jersey', 'country', 'United_States'], ['United_States_House_of_Representatives', 'isPartOf', 'United_States_Congress'], ['United_States', 'house', 'United_States_Senate'], ['Warner_Bros._Discovery', 'locationCity', 'Park_Avenue_South'], ['United_States', 'ethnicGroup', 'Race_and_ethnicity_in_the_United_States_census'], ['United_States', 'ethnicGroup', 'Asian_Americans'], ['DC_Comics', 'genre', 'Science_fiction'], ['New_York_City', 'timeZone', 'Eastern_Time_Zone'], ['New_Jersey', 'largestCity', 'Newark,_New_Jersey'], ['Virginia', 'largestCity', 'Virginia_Beach,_Virginia'], ['DC_Comics', 'founder', 'Malcolm_Wheeler-Nicholson'], ['George_Washington', 'birthPlace', 'George_Washington_Birthplace_National_Monument'], ['DC_Comics', 'genre', 'Action_fiction'], ['DC_Comics', 'genre', 'Adventure_fiction'], ['DC_Comics', 'genre', 'Superhero_fiction'], ['United_States', 'ethnicGroup', 'Pacific_Islander_Americans'], ['George_Washington', 'deathPlace', 'Mount_Vernon'], ['Mount_Vernon', 'nearestCity', 'Alexandria,_Virginia'], ['United_States', 'ethnicGroup', 'White_Americans'], ['United_States_House_of_Representatives', 'location', 'United_States_Capitol'], ['United_States', 'ethnicGroup', 'Hispanic_and_Latino_Americans'], ['Mount_Vernon', 'location', 'Fairfax_County,_Virginia'], ['United_States', 'house', 'United_States_House_of_Representatives'], ['George_Washington_Birthplace_National_Monument', 'location', 'Westmoreland_County,_Virginia'], ['United_States', 'largestCity', 'New_York_City'], ['George_Washington', 'deathPlace', 'Virginia'], ['George_Washington', 'restingPlace', 'Colony_of_Virginia'], ['Warner_Bros._Discovery', 'locationCity', 'New_York_(state)']]Text: Atlantic City is part of New Jersey, United States. The capital of the US is Washington DC and the largest city in the country is New York City. bot:[('United_States', 'capital', 'Washington,_D.C.'), ('Atlantic_City,_New_Jersey', 'country', 'United_States'), ('Atlantic_City,_New_Jersey', 'isPartOf', 'New_Jersey'), ('United_States', 'largestCity', 'New_York_City'), ('Washington,_D.C.', 'type', 'Location'), ('Atlantic_City,_New_Jersey', 'type', 'City'), ('United_States', 'type', 'Location'), ('New_York_City', 'type', 'Location'), ('Atlantic_City,_New_Jersey', 'type', 'Location'), ('New_York_City', 'type', 'City'), ('Washington,_D.C.', 'type', 'City'), ('New_Jersey', 'type', 'Place'), ('United_States', 'type', 'Country'), ('New_Jersey', 'type', 'AdministrativeRegion')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'MilitaryAircraft': {'label': 'military aircraft', 'comment': '-'}, 'Aircraft': {'label': 'aircraft', 'comment': '-'}, 'MilitaryStructure': {'label': 'military structure', 'comment': 'A military structure such as a Castle, Fortress, Wall, etc.'}, 'MilitaryUnit': {'label': 'military unit', 'comment': '-'}, 'OverseasDepartment': {'label': 'overseas department', 'comment': '-'}} Available Properties: {'afdbId': {'label': 'afdb id', 'description': 'No description available DataTypeProperty'}, 'aircraftAttack': {'label': 'geolocdual', 'description': 'No description available DataTypeProperty'}, 'aircraftBomber': {'label': 'geologic period', 'description': 'No description available DataTypeProperty'}, 'aircraftFighter': {'label': 'gini coefficient as of', 'description': 'No description available DataTypeProperty'}, 'aircraftInterceptor': {'label': 'EKATTE code', 'description': 'Indexing code used by the Bulgarian National Statistical Institute to identify populated places DataTypeProperty'}, 'aircraftPatrol': {'label': 'gold medal mixed', 'description': 'No description available DataTypeProperty'}, 'aircraftType': {'label': 'aircraft type', 'description': 'No description available DataTypeProperty'}, 'aircraftUser': {'label': 'LCC', 'description': 'The Library of Congress Classification (LCC) is a system of library classification developed by the Library of Congress. DataTypeProperty'}, 'battle': {'label': 'ICD1', 'description': 'No description available DataTypeProperty'}, 'enemy': {'label': 'quote', 'description': 'No description available DataTypeProperty'}, 'faaLocationIdentifier': {'label': 'FAA Location Identifier', 'description': 'No description available DataTypeProperty'}, 'gun': {'label': 'aircraft gun', 'description': 'No description available DataTypeProperty'}, 'militaryCommand': {'label': 'military command', 'description': 'For persons who are notable as commanding officers, the units they commanded. Dates should be given if multiple notable commands were held. DataTypeProperty'}, 'militaryUnit': {'label': 'Active Cases', 'description': 'وبائی مرض میں فعال کیسوں کی تعداد DataTypeProperty'}, 'officerInCharge': {'label': 'assets ($)', 'description': 'Assets and liabilities are part of a companis balance sheet. In financial accounting, assets are economic resources. Anything tangible or intangible that is capable of being owned or controlled to produce value and that is held to have positive economic value is considered an asset. DataTypeProperty'}, 'operator': {'label': 'maximum inclination', 'description': 'No description available DataTypeProperty'}, 'opponent': {'label': 'bicycle information', 'description': "Information on station's bicycle facilities. DataTypeProperty"}, 'parentheses': {'label': 'dec', 'description': 'No description available DataTypeProperty'}} Subgraph:[array(['United_States_invasion_of_Panama', 'isPartOfMilitaryConflict', 'War_on_Drugs'], dtype=object) array(['United_States_Air_Force', 'aircraftFighter', 'McDonnell_Douglas_F-15_Eagle'], dtype=object) array(['United_States_Air_Force', 'garrison', 'The_Pentagon'], dtype=object) array(['Al_Asad_Airbase', 'location', 'Al_Anbar_Governorate'], dtype=object) array(['Lockheed_Martin', 'location', 'Bethesda,_Maryland'], dtype=object) array(['United_States_invasion_of_Panama', 'isPartOfMilitaryConflict', 'Cold_War'], dtype=object) array(['United_States_invasion_of_Panama', 'place', 'Panama'], dtype=object) array(['United_States_Air_Force', 'aircraftFighter', 'F-15E_Strike_Eagle'], dtype=object) array(['Lockheed_AC-130', 'manufacturer', 'Lockheed_Martin'], dtype=object) array(['United_States_Air_Force', 'aircraftFighter', 'Lockheed_Martin_F-22_Raptor'], dtype=object) array(['Al_Anbar_Governorate', 'country', 'Iraq'], dtype=object) array(['United_States_Air_Force', 'aircraftFighter', 'General_Dynamics_F-16_Fighting_Falcon'], dtype=object) array(['United_States_Air_Force', 'aircraftFighter', 'F-35_Lightning_II'], dtype=object) array(['United_States_Air_Force', 'aircraftAttack', 'General_Atomics_MQ-9_Reaper'], dtype=object) array(['Lockheed_Corporation', 'locationCity', 'Calabasas,_California'], dtype=object) array(['United_States_Air_Force', 'aircraftAttack', 'A-10_Thunderbolt_II'], dtype=object) array(['United_States_Air_Force', 'garrison', 'United_States'], dtype=object) array(['The_Pentagon', 'location', 'Arlington_County,_Virginia'], dtype=object) array(['Lockheed_AC-130', 'manufacturer', 'Lockheed_Corporation'], dtype=object) array(['United_States_Air_Force', 'garrison', 'Arlington_County,_Virginia'], dtype=object) array(['United_States_Air_Force', 'aircraftAttack', 'Lockheed_AC-130'], dtype=object) array(['The_Pentagon', 'location', 'Virginia_State_Route_110'], dtype=object) ]Text: Al Asad Airbase is operated by the United States Air Force. That airforce was involved in the invasion of Panama. The Lockheed AC-130 are found on USAF carriers and the McDonnell Douglas F-15 Eagle is one aircraft fighter found with the airforce. bot:[('United_States_Air_Force', 'aircraftAttack', 'Lockheed_AC-130'), ('United_States_Air_Force', 'aircraftFighter', 'McDonnell_Douglas_F-15_Eagle'), ('United_States_Air_Force', 'battle', 'United_States_invasion_of_Panama'), ('Al_Asad_Airbase', 'operator', 'United_States_Air_Force'), ('United_States_Air_Force', 'type', 'MilitaryUnit'), ('Al_Asad_Airbase', 'type', 'ArchitecturalStructure')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'MusicalArtist': {'label': 'musical artist', 'comment': '-'}, 'Band': {'label': 'Band', 'comment': '-'}, 'Musical': {'label': 'musical', 'comment': '-'}, 'MusicGenre': {'label': 'music genre', 'comment': '-'}, 'MusicalWork': {'label': 'musical work', 'comment': '-'}, 'MusicFestival': {'label': 'music festival', 'comment': '-'}, 'ArtistDiscography': {'label': 'artist discography', 'comment': '-'}, 'ArtisticGenre': {'label': 'artistic genre', 'comment': 'Genres of art, e.g. Pointillist, Modernist'}, 'Guitarist': {'label': 'guitarist', 'comment': '-'}, 'Opera': {'label': 'opera', 'comment': '-'}} Available Properties: {'architect': {'label': 'grave', 'description': 'No description available DataTypeProperty'}, 'associatedBand': {'label': 'human development index rank', 'description': 'No description available DataTypeProperty'}, 'associatedMusicalArtist': {'label': 'iafd id', 'description': 'No description available DataTypeProperty'}, 'causeOfDeath': {'label': 'cause of death', 'description': "underlying or immediate cause of death. Underlying cause (e.g. car accident, stomach cancer) preferred. Use 'manner of death' (P1196) for broadest category, e.g. natural causes, accident, homicide, suicide DataTypeProperty"}, 'deadInFightPlace': {'label': 'dead in fight place', 'description': 'No description available DataTypeProperty'}, 'deathAge': {'label': 'death age', 'description': 'No description available DataTypeProperty'}, 'deathDate': {'label': 'death date', 'description': 'No description available DataTypeProperty'}, 'deathPlace': {'label': 'dress code', 'description': 'The recommended dress code for an establishment or event. DataTypeProperty'}, 'deathYear': {'label': 'death year', 'description': 'No description available DataTypeProperty'}, 'deaths': {'label': 'age range', 'description': 'Age range of students admitted in a School, MilitaryUnit, etc DataTypeProperty'}, 'formerBandMember': {'label': 'last flight start date', 'description': 'No description available DataTypeProperty'}, 'genre': {'label': 'locality of a switzerland settlement', 'description': 'No description available DataTypeProperty'}, 'instrument': {'label': 'molar mass', 'description': 'No description available DataTypeProperty'}, 'killedBy': {'label': 'killed by', 'description': 'person who killed the subject DataTypeProperty'}, 'literaryGenre': {'label': 'lunar surface time (s)', 'description': 'No description available DataTypeProperty'}, 'mainArtist': {'label': 'extraction datetime', 'description': "Date a page was extracted '''''' DataTypeProperty"}, 'musicBand': {'label': 'height (cm)', 'description': 'No description available DataTypeProperty'}, 'musicComposer': {'label': 'national team match point', 'description': 'No description available DataTypeProperty'}, 'musicFusionGenre': {'label': 'free danse score', 'description': 'No description available DataTypeProperty'}, 'musicSubgenre': {'label': 'Deaths', 'description': 'Permanent, irreversible cessation of all biological functions that sustain a living organism ObjectTypeProperty'}, 'musicType': {'label': 'main islands', 'description': 'No description available DataTypeProperty'}, 'musicalArtist': {'label': 'weight (kg)', 'description': 'No description available DataTypeProperty'}, 'musicalBand': {'label': 'apoapsis (km)', 'description': 'No description available DataTypeProperty'}, 'musicians': {'label': 'density (μ3)', 'description': 'No description available DataTypeProperty'}, 'pandemicDeaths': {'label': 'Deaths', 'description': 'Permanent, irreversible cessation of all biological functions that sustain a living organism ObjectTypeProperty'}, 'pendamicDeaths': {'label': 'Deaths', 'description': 'Permanent, irreversible cessation of all biological functions that sustain a living organism ObjectTypeProperty'}, 'terytCode': {'label': 'band', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Black_metal', 'musicFusionGenre', 'Pagan_metal'], ['Aaron', 'veneratedIn', 'Judaism'], ['Ambient_music', 'musicFusionGenre', 'Drum_and_bass'], ['Ambient_music', 'musicFusionGenre', 'Ambient_black_metal'], ['Blackened_death_metal', 'musicSubgenre', 'War_metal'], ['Black_metal', 'musicFusionGenre', 'War_metal'], ['Ambient_music', 'musicFusionGenre', 'Ambient_pop'], ['Experimental_rock', 'musicSubgenre', 'Neo-prog'], ['Experimental_rock', 'musicSubgenre', 'No_wave'], ['Experimental_rock', 'musicSubgenre', 'Noise_rock'], ['Mamiffer', 'genre', 'Post-rock'], ['Ambient_music', 'musicFusionGenre', 'Ambient_techno'], ['Aaron', 'veneratedIn', 'Christianity'], ['Black_metal', 'musicSubgenre', 'Unblack_metal'], ['Blackened_death_metal', 'musicSubgenre', 'Melodic_black-death'], ['Ambient_music', 'musicSubgenre', 'Dark_ambient'], ['Ambient_music', 'musicSubgenre', 'Drone_music'], ['Drone_music', 'musicFusionGenre', 'Drone_metal'], ['Experimental_rock', 'musicSubgenre', 'Mathcore'], ['Experimental_rock', 'musicSubgenre', 'Krautrock'], ['Mamiffer', 'genre', 'Experimental_rock'], ['Mamiffer', 'genre', 'Drone_music'], ['Aaron', 'veneratedIn', 'Islam'], ['Mamiffer', 'genre', 'Ambient_music'], ['Ambient_music', 'musicFusionGenre', 'Ambient_dub'], ['Black_metal', 'musicSubgenre', 'Blackgaze'], ['Black_metal', 'musicFusionGenre', 'Viking_metal'], ['Ambient_music', 'musicFusionGenre', 'Psybient'], ['Black_metal', 'musicFusionGenre', 'Blackened_death_metal'], ['Aaron', 'veneratedIn', 'Baháʼí_Faith'], ['Aaron', 'veneratedIn', 'Samaritanism'], ['Ambient_music', 'musicSubgenre', 'Lowercase_(music)'], ['Ambient_music', 'musicFusionGenre', 'Ambient_house'], ['Ambient_music', 'musicFusionGenre', 'Illbient'], ['Black_metal', 'musicSubgenre', 'National_Socialist_black_metal'], ['Experimental_rock', 'musicSubgenre', 'Post-rock'], ['Black_metal', 'musicSubgenre', 'Symphonic_black_metal']]Text: Death metal is a musical fusion of black metal which is performed by the band Twilight. Aaron Turner plays with the band and is also a singer and performs for Mamiffer. bot:[('A', 'a', 'r'), ('Aaron_Turner', 'associatedMusicalArtist', 'Twilight_(band)'), ('Aaron_Turner', 'associatedMusicalArtist', 'Mamiffer'), ('Twilight_(band)', 'genre', 'Black_metal'), ('Aaron_Turner', 'instrument', 'Singing'), ('Black_metal', 'musicFusionGenre', 'Death_metal')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'BeautyQueen': {'label': 'beauty queen', 'comment': 'A beauty pageant titleholder'}, 'Album': {'label': 'album', 'comment': '-'}, 'Song': {'label': 'song', 'comment': '-'}, 'Singer': {'label': 'Singer', 'comment': 'a person who sings.'}, 'Monarch': {'label': 'monarch', 'comment': '-'}} Available Properties: {'album': {'label': 'human development index as of', 'description': 'No description available DataTypeProperty'}, 'finalLostSingle': {'label': 'final lost single', 'description': 'No description available DataTypeProperty'}, 'firstPublisher': {'label': 'population density rural (/sqkm)', 'description': 'No description available DataTypeProperty'}, 'goldMedalSingle': {'label': 'gold medal single', 'description': 'No description available DataTypeProperty'}, 'kindOfRock': {'label': 'kind of rock', 'description': 'No description available DataTypeProperty'}, 'magazine': {'label': 'mukthar of a lebanon settlement', 'description': 'No description available DataTypeProperty'}, 'monarch': {'label': 'demolition date', 'description': 'The date the building was demolished. DataTypeProperty'}, 'musicBand': {'label': 'height (cm)', 'description': 'No description available DataTypeProperty'}, 'musicBy': {'label': 'national championship', 'description': 'No description available DataTypeProperty'}, 'publicationDate': {'label': 'publication date', 'description': 'date or point in time when a work was first published or released DataTypeProperty'}, 'publisher': {'label': 'lethal when given to rats', 'description': 'No description available DataTypeProperty'}, 'royalAnthem': {'label': 'egafd id', 'description': 'No description available DataTypeProperty'}, 'silverMedalSingle': {'label': 'silver medal single', 'description': 'No description available DataTypeProperty'}, 'titleSingle': {'label': 'title single', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Rock_music', 'musicSubgenre', 'Art_rock'], ['Rock_music', 'musicSubgenre', 'Christian_rock'], ['Folk_rock', 'musicSubgenre', 'Indie_folk'], ['Rock_music', 'musicFusionGenre', 'Jazz_rock'], ['Cathy_Dennis', 'associatedMusicalArtist', 'Galantis'], ['Dave_Kushner', 'associatedMusicalArtist', 'Zilch_(band)'], ['Progressive_rock', 'musicFusionGenre', 'Progressive_metal'], ['Rock_music', 'musicSubgenre', 'Arena_rock'], ['Rock_music', 'musicSubgenre', 'Heavy_metal_music'], ['Detroit_1-8-7', 'company', 'Mandeville_Films'], ['Heavy_metal_music', 'musicFusionGenre', 'Nu_metal'], ['Rock_music', 'musicSubgenre', 'Post-punk'], ['Heavy_metal_music', 'musicFusionGenre', 'Metalcore'], ['Dave_Kushner', 'associatedMusicalArtist', 'Dave_Navarro'], ['Heavy_metal_music', 'musicFusionGenre', 'Rap_metal'], ['Heavy_metal_music', 'musicFusionGenre', 'Deathcore'], ['Electronic_rock', 'musicSubgenre', 'Dance-punk'], ['Folk_rock', 'musicSubgenre', 'Medieval_folk_rock'], ['Glam_rock', 'musicFusionGenre', 'Glam_metal'], ['Detroit_1-8-7', 'composer', 'Dave_Kushner'], ['Psychedelic_rock', 'musicFusionGenre', 'Zamrock'], ['Rock_music', 'musicFusionGenre', 'Pop_rock'], ['Punk_rock', 'musicFusionGenre', 'Pop_punk'], ['Rock_music', 'musicFusionGenre', 'Reggae_rock'], ['Punk_rock', 'musicFusionGenre', 'Anti-folk'], ['Punk_rock', 'musicFusionGenre', 'Punk_blues'], ['Heavy_metal_music', 'musicFusionGenre', 'Viking_metal'], ['Country_rock', 'musicFusionGenre', 'West_Coast_country'], ['Rock_music', 'musicFusionGenre', 'Baroque_pop'], ['Indie_rock', 'musicFusionGenre', 'Indie_folk'], ['Detroit_1-8-7', 'company', 'ABC_Studios'], ['Rock_music', 'musicSubgenre', 'Roots_rock'], ['Electronic_rock', 'musicSubgenre', 'Nintendocore'], ['English_language', 'soundRecording', 'English_language__Sound__1'], ['Rock_music', 'musicSubgenre', 'Power_pop'], ['Rock_music', 'musicFusionGenre', 'Noise_rock'], ['American_Idol', 'company', 'Fremantle_(company)'], ['Psychedelic_rock', 'musicFusionGenre', 'Psychedelic_soul'], ['Rap_rock', 'musicSubgenre', 'Rap_metal'], ['Electronic_rock', 'musicSubgenre', 'Indietronica'], ['Dave_Kushner', 'associatedMusicalArtist', 'Loaded_(band)'], ['Heavy_metal_music', 'musicFusionGenre', 'Industrial_metal'], ['Rock_music', 'musicSubgenre', 'Death_rock'], ['Dave_Kushner', 'associatedMusicalArtist', 'DKFXP'], ['Indie_rock', 'musicFusionGenre', 'New_rave'], ['Rock_music', 'musicSubgenre', 'Psychedelic_rock'], ['Psychedelic_rock', 'musicFusionGenre', 'Psychedelic_pop'], ['Punk_rock', 'musicFusionGenre', 'Cowpunk'], ['Punk_rock', 'musicFusionGenre', 'Folk_punk'], ['Electronic_rock', 'musicSubgenre', 'New_rave'], ['Punk_rock', 'musicFusionGenre', 'Deathrock'], ['Folk_rock', 'musicSubgenre', 'Celtic_rock'], ['Folk_rock', 'musicSubgenre', 'Folk_punk'], ['Rock_music', 'musicFusionGenre', 'Blues_rock'], ['Dave_Kushner', 'associatedMusicalArtist', 'Mike_Muir'], ['Rock_music', 'musicSubgenre', 'Surf_music'], ['Indie_rock', 'musicFusionGenre', 'Grindie'], ['Psychedelic_rock', 'musicFusionGenre', 'Psychedelic_funk'], ['Heavy_metal_music', 'musicFusionGenre', 'Grindcore'], ['Dave_Kushner', 'associatedMusicalArtist', 'Kings_of_Chaos_(band)'], ['Electronic_rock', 'musicSubgenre', 'Post-rock'], ['Rock_music', 'musicFusionGenre', 'Raga_rock'], ['Rock_music', 'musicSubgenre', 'Soft_rock'], ['Alternative_rock', 'musicFusionGenre', 'Alternative_metal'], ['Dave_Kushner', 'associatedMusicalArtist', 'Sugartooth'], ['Heavy_metal_music', 'musicFusionGenre', 'Post-metal'], ['Progressive_rock', 'musicFusionGenre', 'Avant-prog'], ['Heavy_metal_music', 'musicFusionGenre', 'Sludge_metal'], ['Rock_music', 'musicSubgenre', 'Heartland_rock'], ['Rock_music', 'musicSubgenre', 'Acid_rock'], ['American_Idol', 'composer', 'Julian_Gingell'], ['Rock_music', 'musicFusionGenre', 'Rap_rock'], ['Progressive_rock', 'musicFusionGenre', 'Progressive_soul'], ['Rock_music', 'musicSubgenre', 'Beat_music'], ['Dave_Kushner', 'associatedMusicalArtist', 'Infectious_Grooves'], ['Punk_rock', 'musicFusionGenre', 'Dance-punk'], ['Alternative_rock', 'musicFusionGenre', 'Alternative_R&B'], ['Post-punk', 'musicFusionGenre', 'Post-punk_revival'], ['Rock_music', 'musicSubgenre', 'Progressive_rock'], ['Electronic_rock', 'musicSubgenre', 'Post-punk_revival'], ['Punk_rock', 'musicFusionGenre', 'Punk_rap'], ['Rock_music', 'musicFusionGenre', 'Funk_rock'], ['Rock_music', 'musicSubgenre', 'Experimental_rock'], ['Rock_music', 'musicSubgenre', 'Garage_rock'], ['Heavy_metal_music', 'musicFusionGenre', 'Progressive_metal'], ['American_Idol', 'company', '19_Entertainment'], ['Dave_Kushner', 'associatedMusicalArtist', 'Velvet_Revolver'], ['Heavy_metal_music', 'musicFusionGenre', 'Neoclassical_metal'], ['Folk_rock', 'musicSubgenre', 'British_folk_rock'], ['Rock_music', 'musicSubgenre', 'Punk_rock'], ['Punk_rock', 'musicFusionGenre', 'Grebo_(music)'], ['American_Idol', 'composer', 'Cathy_Dennis'], ['Post-punk', 'musicFusionGenre', 'Post-hardcore'], ['Heavy_metal_music', 'musicFusionGenre', 'Stoner_rock'], ['Heavy_metal_music', 'musicFusionGenre', 'Gothic_metal'], ['English_language', 'languageFamily', 'West_Germanic_languages'], ['Heavy_metal_music', 'musicFusionGenre', 'Folk_metal'], ['Power_pop', 'musicFusionGenre', 'Pop-punk'], ['English_language', 'languageFamily', 'Germanic_languages'], ['Punk_rock', 'musicFusionGenre', 'Ska_punk'], ['Industrial_rock', 'musicFusionGenre', 'Industrial_metal'], ['Indie_rock', 'musicFusionGenre', 'Alternative_R&B'], ['Punk_rock', 'musicFusionGenre', 'Psychobilly'], ['Punk_rock', 'musicFusionGenre', 'Garage_punk_(fusion_genre)'], ['Dave_Kushner', 'associatedMusicalArtist', 'Danzig_(band)'], ['Indie_rock', 'musicFusionGenre', 'Alternative_dance'], ['Funk_rock', 'musicSubgenre', 'Funk_metal'], ['Rock_music', 'musicSubgenre', 'Post-rock'], ['Punk_rock', 'musicFusionGenre', '2_Tone_(music_genre)'], ['Heavy_metal_music', 'musicFusionGenre', 'Djent'], ['Roots_rock', 'musicFusionGenre', 'Cowpunk'], ['Dave_Kushner', 'associatedMusicalArtist', 'Wasted_Youth_(American_band)'], ['Heavy_metal_music', 'musicFusionGenre', 'Funk_metal'], ['Roots_rock', 'musicFusionGenre', 'Alternative_country'], ['Glam_rock', 'musicFusionGenre', 'Glam_punk'], ['Electronic_rock', 'musicSubgenre', 'Neon_pop'], ['Rock_music', 'musicSubgenre', 'Glam_rock'], ['Rock_music', 'musicFusionGenre', 'Folk_rock'], ['Rock_music', 'musicFusionGenre', 'Sufi_rock'], ['Alternative_rock', 'musicFusionGenre', 'Alternative_dance'], ['Rock_music', 'musicSubgenre', 'Stoner_rock'], ['Cathy_Dennis', 'associatedMusicalArtist', 'D_Mob'], ['English_language', 'languageFamily', 'Anglo-Frisian_languages'], ['Dave_Kushner', 'associatedMusicalArtist', 'Electric_Love_Hogs'], ['Psychedelic_rock', 'musicFusionGenre', 'Stoner_rock'], ['Rock_music', 'musicFusionGenre', 'Country_rock'], ['Rock_music', 'musicFusionGenre', 'Samba_rock'], ['Heavy_metal_music', 'musicFusionGenre', 'Alternative_metal'], ['Punk_rock', 'musicFusionGenre', 'Gypsy_punk'], ['Rock_music', 'musicSubgenre', 'Hard_rock'], ['Electronic_rock', 'musicSubgenre', 'Electroclash'], ['Rock_music', 'musicFusionGenre', 'Latin_rock'], ['Rock_music', 'musicFusionGenre', 'Dance_rock'], ['English_language', 'languageFamily', 'North_Sea_Germanic'], ['Rock_music', 'musicFusionGenre', 'Electronic_rock'], ['Rock_music', 'musicFusionGenre', 'Industrial_rock'], ['Punk_rock', 'musicFusionGenre', 'Grunge'], ['Heavy_metal_music', 'musicFusionGenre', 'Drone_metal'], ['Rock_music', 'musicSubgenre', 'Alternative_rock'], ['Rock_music', 'musicSubgenre', 'Occult_rock'], ['Punk_rock', 'musicFusionGenre', 'Punk_jazz'], ['Garage_rock', 'musicFusionGenre', 'Garage_punk_(fusion_genre)'], ['Rock_music', 'musicSubgenre', 'Indie_rock']]Text: Stone Cold Classics is a compilation album by English rock band Queen released on 11 April 2006, in conjunction with the broadcast of an episode of the U.S. television series American Idol, in which contestants performed songs from the Queen catalogue. bot:[('A', 'm', 'e'), ('Stone_Cold_Classics', 'publicationDate', '11/04/2006')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'Cricketer': {'label': 'cricketer', 'comment': '-'}, 'MemberOfParliament': {'label': 'member of parliament', 'comment': '-'}, 'NationalSoccerClub': {'label': 'national soccer club', 'comment': '-'}, 'GovernmentCabinet': {'label': 'cabinet of ministers', 'comment': 'A cabinet is a body of high-ranking state officials, typically consisting of the top leaders of the executive branch.'}, 'Prefecture': {'label': 'prefecture', 'comment': '-'}, 'Temple': {'label': 'temple', 'comment': '-'}, 'HistoricalCountry': {'label': 'Historical country', 'comment': 'ایک ایسی جگہ جو ایک ملک ہوا کرتی تھی۔'}, 'Manhwa': {'label': 'manhwa', 'comment': 'Korean term for comics and print cartoons'}, 'PrimeMinister': {'label': 'prime minister', 'comment': '-'}, 'Minister': {'label': 'minister', 'comment': '-'}} Available Properties: {'aircraftTransport': {'label': 'governorate', 'description': 'No description available DataTypeProperty'}, 'amgid': {'label': 'amgId', 'description': 'No description available DataTypeProperty'}, 'ceo': {'label': 'episode number', 'description': 'The episode number of the TelevisionEpisode. DataTypeProperty'}, 'chairman': {'label': 'id number', 'description': 'No description available DataTypeProperty'}, 'chairmanTitle': {'label': 'chairman title', 'description': 'No description available DataTypeProperty'}, 'chairperson': {'label': 'number of items in collection', 'description': 'Indication as to the size of the collection of this library DataTypeProperty'}, 'collectionSize': {'label': 'diseasesDb', 'description': 'No description available DataTypeProperty'}, 'constituencyDistrict': {'label': 'income', 'description': 'No description available DataTypeProperty'}, 'country': {'label': 'eye colour', 'description': 'No description available DataTypeProperty'}, 'departmentCode': {'label': ' ', 'description': 'No description available DataTypeProperty'}, 'dutchNAIdentifier': {'label': 'Identifier for Duch National Archive', 'description': 'No description available DataTypeProperty'}, 'governmentCountry': {'label': 'boiling point (K)', 'description': 'No description available DataTypeProperty'}, 'isniId': {'label': 'ISNI Id', 'description': 'ISNI is a method for uniquely identifying the public identities of contributors to media content such as books, TV programmes, and newspaper articles. DataTypeProperty'}, 'leader': {'label': 'number of all MuscialArtist playing the style', 'description': 'No description available DataTypeProperty'}, 'leaderName': {'label': 'original title', 'description': 'The original title of the work, most of the time in the original language as well DataTypeProperty'}, 'leaderParty': {'label': 'election majority', 'description': 'number of votes the office holder attained DataTypeProperty'}, 'managementCountry': {'label': 'length (mm)', 'description': 'No description available DataTypeProperty'}, 'memberOfParliament': {'label': 'cloth size', 'description': 'No description available DataTypeProperty'}, 'ndlId': {'label': 'NDL id', 'description': 'National Diet Library of Japan identificator. http://id.ndl.go.jp/auth/ndlna/$1 DataTypeProperty'}, 'nndbId': {'label': 'NNDB id', 'description': 'No description available DataTypeProperty'}, 'ons': {'label': 'ONS ID (Office national des statistiques) Algeria', 'description': 'No description available DataTypeProperty'}, 'prefecture': {'label': 'total cargo (kg)', 'description': 'No description available DataTypeProperty'}, 'presidentGeneralCouncil': {'label': 'discharge (m³/s)', 'description': 'No description available DataTypeProperty'}, 'presidentRegionalCouncil': {'label': 'discharge average (m³/s)', 'description': 'No description available DataTypeProperty'}, 'ulanId': {'label': 'ULAN id', 'description': 'Union List of Artist Names id (Getty Research Institute). ULAN has 293,000 names and other information about artists. Names in ULAN may include given names, pseudonyms, variant spellings, names in multiple languages, and names that have changed over time (e.g., married names).\r\nhttp://vocab.getty.edu/ulan/$1 DataTypeProperty'}} Subgraph:[['Amdavad_ni_Gufa', 'country', 'India'], ['Mumbai', 'country', 'India'], ['Amdavad_ni_Gufa', 'location', 'Gujarat'], ['Sumitra_Mahajan', 'birthPlace', 'British_Raj'], ['India', 'largestCity', 'Mumbai'], ['Delhi', 'country', 'India'], ['India', 'largestCity', 'Delhi'], ['Narendra_Modi', 'birthPlace', 'India'], ['Sumitra_Mahajan', 'birthPlace', 'Chiplun'], ['Sumitra_Mahajan', 'birthPlace', 'India'], ['Narendra_Modi', 'birthPlace', 'Vadnagar'], ['Narendra_Modi', 'birthPlace', 'Bombay_State'], ['Sumitra_Mahajan', 'birthPlace', 'Bombay_Presidency'], ['Amdavad_ni_Gufa', 'location', 'Ahmedabad']]Text: Amdavad ni Gufa located in India whose leaders are Narendra Modi and Sumitra Mahajan. bot:[('Amdavad_ni_Gufa', 'country', 'India'), ('India', 'leader', 'Narendra_Modi'), ('India', 'leader', 'Sumitra_Mahajan'), ('India', 'type', 'Country')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'SoccerManager': {'label': 'soccer manager', 'comment': '-'}, 'ChessPlayer': {'label': 'chess player', 'comment': '-'}, 'SquashPlayer': {'label': 'squash player', 'comment': '-'}, 'SportsManager': {'label': 'sports manager', 'comment': 'According to the french label sub Soccer, trainership could be meant. However, here a Sportsmanager is interpreted as a member of the board of a sporting club.'}, 'AustralianFootballTeam': {'label': 'australian football Team', 'comment': '-'}, 'AustralianRulesFootballPlayer': {'label': 'Australian rules football player', 'comment': '-'}, 'WinterSportPlayer': {'label': 'winter sport Player', 'comment': '-'}, 'GridironFootballPlayer': {'label': 'gridiron football player', 'comment': 'Gradiron football, also called North American football, is a family of soccer team games played primarily in the United States and Canada.'}, 'MovingWalkway': {'label': 'travellator', 'comment': '-'}, 'AustralianFootballLeague': {'label': 'australian football league', 'comment': 'A group of sports teams that compete against each other in australian football.'}} Available Properties: {'appearancesInLeague': {'label': 'appearances in league', 'description': 'No description available DataTypeProperty'}, 'appearancesInNationalTeam': {'label': 'appearances in national team', 'description': 'No description available DataTypeProperty'}, 'club': {'label': 'number of live albums', 'description': 'the number of live albums released by the musical artist DataTypeProperty'}, 'currentTeamManager': {'label': 'year of first ascent', 'description': 'No description available DataTypeProperty'}, 'currentWorldChampion': {'label': 'generation units', 'description': 'No description available DataTypeProperty'}, 'einecsNumber': {'label': 'EINECS number', 'description': 'No description available DataTypeProperty'}, 'europeanAffiliation': {'label': 'number of seats', 'description': 'total number of seats/members in an assembly (legislative house or similar) DataTypeProperty'}, 'europeanChampionship': {'label': 'european championship', 'description': 'No description available DataTypeProperty'}, 'generalManager': {'label': 'fuel capacity (μ³)', 'description': 'No description available DataTypeProperty'}, 'leagueManager': {'label': 'minimum temperature (K)', 'description': 'No description available DataTypeProperty'}, 'manager': {'label': 'type of municipality', 'description': 'No description available DataTypeProperty'}, 'managerClub': {'label': 'Gray subject', 'description': "Refers to the famous 1918 edition of Gray's Anatomy. DataTypeProperty"}, 'managerSeason': {'label': 'date construction', 'description': 'No description available DataTypeProperty'}, 'managerTitle': {'label': 'manager title', 'description': 'No description available DataTypeProperty'}, 'managerYears': {'label': 'manager years', 'description': 'No description available DataTypeProperty'}, 'managerYearsEndYear': {'label': 'manager years end year', 'description': 'No description available DataTypeProperty'}, 'managerYearsStartYear': {'label': 'manager years start year', 'description': 'No description available DataTypeProperty'}, 'messierName': {'label': 'Messier name', 'description': 'Name for Messier objects DataTypeProperty'}, 'mostSuccessfulPlayer': {'label': 'Wikipage modification datetime', 'description': "Reserved for DBpedia '''''' DataTypeProperty"}, 'seasonManager': {'label': 'season manager', 'description': 'No description available DataTypeProperty'}, 'soccerLeagueRelegated': {'label': 'amateur year', 'description': 'No description available DataTypeProperty'}, 'teamManager': {'label': 'blue ski piste number', 'description': 'No description available DataTypeProperty'}, 'youthClub': {'label': 'flag caption', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Saint_Peter', 'deathPlace', 'Rome'], ['Saint_Peter', 'deathPlace', 'Roman_Empire'], ['Saint_Peter', 'birthPlace', 'Bethsaida'], ['Saint_Peter', 'deathPlace', 'Vatican_Hill'], ['FK_Austria_Wien', 'manager', 'Manfred_Schmid_(footballer)'], ['Saint_Peter', 'birthPlace', 'Roman_Empire'], ['Rome', 'country', 'Italy'], ['Saint_Peter', 'birthPlace', 'Gaulanitis'], ['Saint_Peter', 'birthPlace', 'Syria_(Roman_province)'], ['Saint_Peter', 'deathPlace', 'Roman_Italy']]Text: Peter Stoger plays for SC Wiener Neustadt and FK Austria Wien while also being a manager at 1. FC Koln. bot:[('Peter_Stöger', 'club', '1._Wiener_Neust%C3%A4dter_SC_(2008)'), ('Peter_Stöger', 'club', 'FK_Austria_Wien'), ('1._FC_Köln', 'manager', 'Peter_Stöger'), ('1._FC_Köln', 'type', 'SportsClub'), ('Peter_Stöger', 'type', 'Eukaryote')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'LunarCrater': {'label': 'lunar crater', 'comment': '-'}, 'Crater': {'label': 'crater', 'comment': '-'}, 'Constellation': {'label': 'constellation', 'comment': '-'}, 'SolarEclipse': {'label': 'solar eclipse', 'comment': '-'}, 'CelestialBody': {'label': 'celestial body', 'comment': '-'}, 'FloweringPlant': {'label': 'flowering plant', 'comment': '-'}, 'Nebula': {'label': 'Nebula', 'comment': '-'}, 'Altitude': {'label': 'altitude', 'comment': '-'}, 'Archaea': {'label': 'archaea', 'comment': '-'}, 'StatedResolution': {'label': 'Stated Resolution', 'comment': 'A Resolution describes a formal statement adopted by a meeting or convention.'}} Available Properties: {'Galaxy/apoapsis': {'label': 'draft position', 'description': 'No description available DataTypeProperty'}, 'Galaxy/periapsis': {'label': 'iso code of a community', 'description': 'No description available DataTypeProperty'}, 'Planet/apoapsis': {'label': 'chromosome', 'description': 'chromosome on which an entity is localized DataTypeProperty'}, 'Planet/periapsis': {'label': 'length (mm)', 'description': 'No description available DataTypeProperty'}, 'Spacecraft/apoapsis': {'label': 'cargo water (kg)', 'description': 'No description available DataTypeProperty'}, 'Spacecraft/periapsis': {'label': 'blue long distance piste number', 'description': 'No description available DataTypeProperty'}, 'agglomerationArea': {'label': 'issn', 'description': 'International Standard Serial Number (ISSN) DataTypeProperty'}, 'altitude': {'label': 'legislative period name', 'description': 'The term of the on-going session (e.g.: "40th Canadian Parliament"). DataTypeProperty'}, 'apoapsis': {'label': 'apoapsis (μ)', 'description': 'No description available DataTypeProperty'}, 'archipelago': {'label': 'project start date', 'description': 'The start date of the project. DataTypeProperty'}, 'constellation': {'label': 'iso code of a community', 'description': 'No description available DataTypeProperty'}, 'flower': {'label': 'missions', 'description': 'No description available DataTypeProperty'}, 'highestAltitude': {'label': 'height (mm)', 'description': 'No description available DataTypeProperty'}, 'highestPoint': {'label': 'length (mm)', 'description': 'No description available DataTypeProperty'}, 'highestRegion': {'label': 'piston stroke (mm)', 'description': 'No description available DataTypeProperty'}, 'orogeny': {'label': 'draft position', 'description': 'No description available DataTypeProperty'}, 'periapsis': {'label': 'length (mm)', 'description': 'No description available DataTypeProperty'}, 'plant': {'label': 'cargo water (kg)', 'description': 'No description available DataTypeProperty'}, 'resolution': {'label': 'number of vineyards', 'description': 'No description available DataTypeProperty'}, 'stellarClassification': {'label': 'Believers', 'description': 'No description available DataTypeProperty'}, 'uRN': {'label': 'chromosome', 'description': 'chromosome on which an entity is localized DataTypeProperty'}} Subgraph:nanText: 1036 Ganymed has an apoapsis of 611961000.0 kilometres. bot:[('1036_Ganymed', 'apoapsis', '611961000.0_(kilometres)'), ('1036_Ganymed', 'type', 'CelestialBody')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'Archipelago': {'label': 'archipelago', 'comment': '-'}, 'NationalSoccerClub': {'label': 'national soccer club', 'comment': '-'}, 'Polysaccharide': {'label': 'polysaccharide', 'comment': '-'}, 'Food': {'label': 'Food', 'comment': 'Food is any eatable or drinkable substance that is normally consumed by humans.'}, 'EthnicGroup': {'label': 'ethnic group', 'comment': '-'}, 'Taxon': {'label': 'taxonomic group', 'comment': 'a category within a classification system for Species'}, 'Gnetophytes': {'label': 'Gnetophytes', 'comment': '-'}, 'SoccerClub': {'label': 'soccer club', 'comment': '-'}, 'Plant': {'label': 'plant', 'comment': '-'}, 'GreenAlga': {'label': 'green alga', 'comment': '-'}} Available Properties: {'archipelago': {'label': 'project start date', 'description': 'The start date of the project. DataTypeProperty'}, 'astrazenca': {'label': 'Astrazenca', 'description': 'AstraZeneca plc is a British-Swedish multinational pharmaceutical and biotechnology company with its headquarters at the Cambridge Biomedical Campus in Cambridge, England. DataTypeProperty'}, 'championInSingleFemale': {'label': 'escalafon', 'description': 'No description available DataTypeProperty'}, 'collectionSize': {'label': 'diseasesDb', 'description': 'No description available DataTypeProperty'}, 'country': {'label': 'eye colour', 'description': 'No description available DataTypeProperty'}, 'ethnicGroup': {'label': 'election date leader', 'description': 'The date that leader was elected. DataTypeProperty'}, 'governmentCountry': {'label': 'boiling point (K)', 'description': 'No description available DataTypeProperty'}, 'highestMountain': {'label': 'region', 'description': 'The regin where the thing is located or is connected to. ObjectTypeProperty'}, 'ingredient': {'label': 'lunar orbit time (s)', 'description': 'No description available DataTypeProperty'}, 'ingredientName': {'label': 'ingredient name (literal)', 'description': 'Main ingredient used to prepare a specific Food or Beverage. For strings use ingredientName, for objects use ingredient. DataTypeProperty'}, 'isPartOfWineRegion': {'label': 'epoch', 'description': 'moment in time used as a referrence point for some time-vaying astronomical quantity DataTypeProperty'}, 'medication': {'label': 'victims (string)', 'description': 'Type, description, or name(s) of victims of a ConcentrationCamp, Criminal, SerialKiller, or some other atrocity DataTypeProperty'}, 'musicType': {'label': 'main islands', 'description': 'No description available DataTypeProperty'}, 'originalNotLatinTitle': {'label': 'titre original non latin', 'description': 'The original non latin title of the work DataTypeProperty'}, 'product': {'label': 'old name', 'description': 'No description available DataTypeProperty'}, 'regionServed': {'label': 'number of bombs', 'description': 'No description available DataTypeProperty'}, 'regionalLanguage': {'label': 'first publication date', 'description': 'Date of the first publication. DataTypeProperty'}, 'sourceRegion': {'label': 'code on List of Honour', 'description': 'No description available DataTypeProperty'}, 'stateOfOriginTeam': {'label': 'barangays', 'description': 'No description available DataTypeProperty'}, 'type': {'label': 'other wins', 'description': 'No description available DataTypeProperty'}, 'voiceType': {'label': 'EntrezGene', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Spain', 'governmentType', 'Parliamentary_system'], ['Spain', 'religion', 'Irreligion'], ['Spain', 'governmentType', 'Unitary_state'], ['Spain', 'house', 'Congress_of_Deputies'], ['Spain', 'largestCity', 'Madrid'], ['Spain', 'house', 'Senate_of_Spain'], ['Catalonia', 'governmentType', 'Constitutional_monarchy'], ['Madrid', 'country', 'Spain'], ['Arros-de-Nay', 'intercommunality', 'Communauté_de_communes_du_Pays_de_Nay'], ['Arros-de-Nay', 'country', 'France'], ['Catalonia', 'country', 'Spain'], ['Catalonia', 'timeZone', 'Central_European_Summer_Time'], ['Arros-de-Nay', 'arrondissement', 'Pau,_Pyrénées-Atlantiques'], ['Spain', 'religion', 'Christianity'], ['Cubanelle', 'species', 'Capsicum_annuum'], ['Catalonia', 'governmentType', 'Devolution'], ['Spain', 'topLevelDomain', '.es'], ['Spain', 'currency', 'Euro'], ['Catalonia', 'timeZone', 'Central_European_Time']]Text: Arros negre is from the region of Catalonia in Spain. The main ingredients are white rice, cuttlefish or squid, cephalopod ink, cubanelle peppers. bot:[('Arròs_negre', 'country', 'Spain'), ('Arròs_negre', 'ingredient', 'White_rice,_cuttlefish_or_squid,_cephalopod_ink,_cubanelle_peppers'), ('Arròs_negre', 'ingredient', 'Squid'), ('Arròs_negre', 'region', 'Catalonia'), ('Arròs_negre', 'type', 'Food'), ('Spain', 'type', 'Location'), ('Cubanelle', 'type', 'Plant'), ('Catalonia', 'type', 'Village'), ('Spain', 'type', 'Country')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'BritishRoyalty': {'label': 'British royalty', 'comment': '-'}, 'Surname': {'label': 'surname', 'comment': '-'}, 'MemberOfParliament': {'label': 'member of parliament', 'comment': '-'}, 'AmericanFootballPlayer': {'label': 'american football player', 'comment': '-'}, 'Academic': {'label': 'Academic Person', 'comment': '-'}, 'PlayWright': {'label': 'Playwright', 'comment': 'A person who writes dramatic literature or drama.'}, 'Cricketer': {'label': 'cricketer', 'comment': '-'}, 'Egyptologist': {'label': 'egyptologist', 'comment': '-'}, 'AmateurBoxer': {'label': 'amateur boxer', 'comment': '-'}, 'NationalSoccerClub': {'label': 'national soccer club', 'comment': '-'}} Available Properties: {'almaMater': {'label': 'end career', 'description': 'No description available DataTypeProperty'}, 'birthName': {'label': 'birth name', 'description': 'full name of a person at birth, if different from their current, generally used name DataTypeProperty'}, 'birthPlace': {'label': 'Bioavailability', 'description': '"The rate and extent to which the active ingredient or active moiety is absorbed from a drug product and becomes available at the site of action. For drug products that are not intended to be absorbed into the bloodstream, bioavailability may be assessed by measurements intended to reflect the rate and extent to which the active ingredient or active moiety becomes available at the site of action (21CFR320.1)." DataTypeProperty'}, 'coemperor': {'label': 'bowl record', 'description': 'No description available DataTypeProperty'}, 'countryOrigin': {'label': 'number of licensed', 'description': 'nombre de personnes ayant une license pour pratiquer cette activité DataTypeProperty'}, 'daira': {'label': 'id', 'description': 'No description available DataTypeProperty'}, 'ethnicity': {'label': 'school number', 'description': 'No description available DataTypeProperty'}, 'founder': {'label': 'local phone prefix', 'description': 'No description available DataTypeProperty'}, 'geneLocationStart': {'label': 'gene location start', 'description': 'the start of the gene coordinates DataTypeProperty'}, 'imdbId': {'label': 'IMDB id', 'description': 'International Movie Database ID. Applies to Films, Actors, etc DataTypeProperty'}, 'leaderParty': {'label': 'election majority', 'description': 'number of votes the office holder attained DataTypeProperty'}, 'location': {'label': 'currency code', 'description': 'ISO 4217 currency designators. DataTypeProperty'}, 'locationCity': {'label': 'date of latest election', 'description': 'No description available DataTypeProperty'}, 'musicType': {'label': 'main islands', 'description': 'No description available DataTypeProperty'}, 'nationality': {'label': 'national tournament bronze', 'description': 'No description available DataTypeProperty'}, 'numberOfPersonBornInPlace': {'label': 'number of entities of Person class born in the place', 'description': 'No description available DataTypeProperty'}, 'numberOfPersonFromUniversity': {'label': 'number of entities of Person class who graduated from the university', 'description': 'No description available DataTypeProperty'}, 'origin': {'label': 'number of participating female athletes', 'description': 'No description available DataTypeProperty'}, 'otherParty': {'label': 'bridge carries', 'description': 'Type of vehicles the bridge carries. DataTypeProperty'}, 'party': {'label': 'number of people attending', 'description': 'No description available DataTypeProperty'}, 'stateOfOrigin': {'label': 'free prog competition', 'description': 'No description available DataTypeProperty'}, 'type': {'label': 'other wins', 'description': 'No description available DataTypeProperty'}, 'voiceType': {'label': 'EntrezGene', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Adam_Holloway', 'education', 'Imperial_College_London'], ['Cambridge', 'politicalLeader', 'Cambridge__PoliticalFunction__3'], ['Conservative_Party_of_Canada', 'headquarter', 'Ottawa'], ['Faversham', 'country', 'United_Kingdom'], ['Kent', 'location', 'England'], ['Royal_Military_Academy_Sandhurst', 'city', 'Sandhurst,_Berkshire'], ['House_of_Lords', 'location', 'Palace_of_Westminster'], ['Robert_Batherson', 'birthPlace', 'Nova_Scotia'], ['Imperial_College_London', 'city', 'London'], ['Adam_Holloway', 'birthPlace', 'Kent'], ['White_people_in_the_United_Kingdom', 'populationPlace', 'Countries_of_the_United_Kingdom'], ['British_Asian', 'populationPlace', 'Countries_of_the_United_Kingdom'], ['House_of_Lords', 'location', 'England'], ['United_Kingdom', 'currency', 'Pound_sterling'], ['House_of_Commons_of_the_United_Kingdom', 'isPartOf', 'Parliament_of_the_United_Kingdom'], ['Conservative_Party_of_Canada', 'headquarter', 'Ontario'], ['United_Kingdom', 'timeZone', 'Western_European_Time'], ['Adam_Holloway', 'education', 'Magdalene_College,_Cambridge'], ['Kent', 'country', 'United_Kingdom'], ['Pierre_Poilievre', 'birthPlace', 'Alberta'], ['Cambridge', 'country', 'United_Kingdom'], ['United_Kingdom', 'ethnicGroup', 'White_people_in_the_United_Kingdom'], ['White_people_in_the_United_Kingdom', 'populationPlace', 'Law_of_Northern_Ireland'], ['Conservative_Party_of_Canada', 'europeanAffiliation', 'European_Conservatives_and_Reformists_Party'], ['Canada', 'largestCity', 'Toronto'], ['Conservative_Party_of_Canada', 'leader', 'Pierre_Poilievre'], ['Cambridge', 'timeZone', 'Greenwich_Mean_Time'], ['Cambridge', 'timeZone', 'British_Summer_Time'], ['United_Kingdom', 'house', 'House_of_Commons_of_the_United_Kingdom'], ['United_Kingdom', 'ethnicGroup', 'British_Asian'], ['Robert_Batherson', 'birthPlace', 'Sydney,_Nova_Scotia'], ['Cambridge', 'subdivision', 'England'], ['Cambridge', 'subdivision', 'East_of_England'], ['Borough_of_Swale', 'country', 'United_Kingdom'], ['Cambridge', 'politicalLeader', 'Cambridge__PoliticalFunction__2'], ['British_Asian', 'populationPlace', 'England_cricket_team'], ['United_Kingdom', 'timeZone', 'Greenwich_Mean_Time'], ['United_Kingdom', 'ethnicGroup', 'Black_British'], ['United_Kingdom', 'house', 'House_of_Lords'], ['Faversham', 'country', 'Kent'], ['House_of_Commons_of_the_United_Kingdom', 'location', 'City_of_Westminster'], ['Cambridge', 'politicalLeader', 'Cambridge__PoliticalFunction__1'], ['United_Kingdom', 'topLevelDomain', '.uk'], ['United_Kingdom', 'ethnicGroup', 'Mixed_(United_Kingdom_ethnicity_category)'], ['European_Conservatives_and_Reformists_Party', 'country', 'European_Union'], ['Cambridge', 'politicalLeader', 'Cambridge__PoliticalFunction__4'], ['White_people_in_the_United_Kingdom', 'populationPlace', 'Wales'], ['House_of_Lords', 'location', 'London'], ['Cambridge', 'subdivision', 'Cambridge_Guildhall'], ['Conservative_Party_of_Canada', 'president', 'Robert_Batherson'], ['Borough_of_Swale', 'timeZone', 'Greenwich_Mean_Time'], ['House_of_Lords', 'isPartOf', 'Parliament_of_the_United_Kingdom'], ['Adam_Holloway', 'education', 'Royal_Military_Academy_Sandhurst'], ['Borough_of_Swale', 'timeZone', 'British_Summer_Time'], ['Conservative_Party_of_Canada', 'country', 'Canada'], ['Faversham', 'district', 'Borough_of_Swale'], ['White_people_in_the_United_Kingdom', 'populationPlace', 'England_national_football_team'], ['Adam_Holloway', 'birthPlace', 'Faversham'], ['White_people_in_the_United_Kingdom', 'populationPlace', 'Scots_law'], ['House_of_Commons_of_the_United_Kingdom', 'location', 'Palace_of_Westminster'], ['House_of_Lords', 'location', 'City_of_Westminster'], ['Cambridge', 'subdivision', 'Cambridgeshire'], ['Pierre_Poilievre', 'birthPlace', 'Calgary']]Text: Adam Holloway was born in Faversham Kent, England, and as such, comes from the U.K. He is a member of the Conservative Party in the UK and his alm mater was Magdalene College in Cambridge. bot:[('Adam_Holloway', 'almaMater', 'Magdalene_College,_Cambridge'), ('Adam_Holloway', 'birthPlace', 'Faversham,_Kent,_England'), ('Adam_Holloway', 'nationality', 'United_Kingdom'), ('Adam_Holloway', 'party', 'Conservative_Party_(UK)'), ('United_Kingdom', 'type', 'Location'), ('Faversham', 'type', 'Place'), ('Conservative_Party_(UK)', 'type', 'PoliticalParty'), ('Faversham', 'type', 'Location'), ('Magdalene_College,_Cambridge', 'type', 'College'), ('Conservative_Party_(UK)', 'type', 'Hyphen-minus'), ('United_Kingdom', 'type', 'Country'), ('Adam_Holloway', 'type', 'Person'), ('Adam_Holloway', 'type', 'Eukaryote')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'GeologicalPeriod': {'label': 'geological period', 'comment': '-'}, 'YearInSpaceflight': {'label': 'year in spaceflight', 'comment': '-'}, 'ProtohistoricalPeriod': {'label': 'protohistorical period', 'comment': '-'}, 'PrehistoricalPeriod': {'label': 'prehistorical period', 'comment': '-'}, 'Year': {'label': 'year', 'comment': '-'}, 'Nebula': {'label': 'Nebula', 'comment': '-'}, 'TimePeriod': {'label': 'time period', 'comment': '-'}, 'SolarEclipse': {'label': 'solar eclipse', 'comment': '-'}, 'CelestialBody': {'label': 'celestial body', 'comment': '-'}, 'Asteroid': {'label': 'asteroid', 'comment': '-'}} Available Properties: {'creationYear': {'label': 'year of creation', 'description': 'No description available DataTypeProperty'}, 'cultivatedVariety': {'label': 'PfizerCumulativeDoses', 'description': '辉瑞是源自美国的跨国制药、生物技术公司，营运总部位于纽约，研发总部位于康涅狄格州的格罗顿市 DataTypeProperty'}, 'discovered': {'label': 'discovery date', 'description': 'No description available DataTypeProperty'}, 'era': {'label': 'numberOfClasses', 'description': 'number of defined Classes DataTypeProperty'}, 'flower': {'label': 'missions', 'description': 'No description available DataTypeProperty'}, 'geologicPeriod': {'label': 'geologic period', 'description': 'No description available DataTypeProperty'}, 'isPartOfWineRegion': {'label': 'epoch', 'description': 'moment in time used as a referrence point for some time-vaying astronomical quantity DataTypeProperty'}, 'mass': {'label': 'mass (g)', 'description': 'No description available DataTypeProperty'}, 'mission': {'label': 'currently used for', 'description': 'Current use of the architectural structure, if it is currently being used as anything other than its original purpose. DataTypeProperty'}, 'musicType': {'label': 'main islands', 'description': 'No description available DataTypeProperty'}, 'orbitalPeriod': {'label': 'orbital period (s)', 'description': 'No description available DataTypeProperty'}, 'orogeny': {'label': 'draft position', 'description': 'No description available DataTypeProperty'}, 'periapsis': {'label': 'periapsis (μ)', 'description': 'No description available DataTypeProperty'}, 'period': {'label': 'Dutch artwork code', 'description': 'No description available DataTypeProperty'}, 'plant': {'label': 'cargo water (kg)', 'description': 'No description available DataTypeProperty'}, 'previousWorkDate': {'label': 'classification', 'description': 'Any string representing a class or category this thing is assigned to. DataTypeProperty'}, 'rocket': {'label': 'age', 'description': 'No description available DataTypeProperty'}, 'spacecraft': {'label': 'number of countries', 'description': 'No description available DataTypeProperty'}, 'stellarClassification': {'label': 'Believers', 'description': 'No description available DataTypeProperty'}, 'supply': {'label': 'black ski piste number', 'description': 'No description available DataTypeProperty'}, 'type': {'label': 'other wins', 'description': 'No description available DataTypeProperty'}, 'voiceType': {'label': 'EntrezGene', 'description': 'No description available DataTypeProperty'}, 'volumes': {'label': 'cargo fuel (g)', 'description': 'No description available DataTypeProperty'}, 'weapon': {'label': 'cargo water (g)', 'description': 'No description available DataTypeProperty'}} Subgraph:nanText: 109 Felicitas, which has a mass of 7.5kgs has the epoch date of 31 December 2006. It has an orbital period of 139705000.0 and a periapsis of 283326000000.0. bot:[('109_Felicitas', 'epoch', '2006-12-31'), ('109_Felicitas', 'mass', '7.5_kilograms'), ('109_Felicitas', 'orbitalPeriod', '139705000.0'), ('109_Felicitas', 'periapsis', '283326000000.0'), ('109_Felicitas', 'type', 'Planet'), ('109_Felicitas', 'type', 'CelestialBody')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'AutomobileEngine': {'label': 'automobile engine', 'comment': '-'}, 'Locomotive': {'label': 'locomotive', 'comment': '-'}, 'Automobile': {'label': 'automobile', 'comment': '-'}, 'Engine': {'label': 'engine', 'comment': '-'}, 'MilitaryVehicle': {'label': 'military vehicle', 'comment': '-'}} Available Properties: {'automobileModel': {'label': 'automobile model', 'description': 'No description available DataTypeProperty'}, 'cableCar': {'label': 'cable car', 'description': 'No description available DataTypeProperty'}, 'carNumber': {'label': 'car number', 'description': 'No description available DataTypeProperty'}, 'clade': {'label': 'colonial name', 'description': 'No description available DataTypeProperty'}, 'company': {'label': 'inclination', 'description': 'No description available DataTypeProperty'}, 'engineType': {'label': 'UCI code', 'description': 'Official UCI code for cycling teams DataTypeProperty'}, 'fuelTypeName': {'label': 'fuel type', 'description': 'No description available ObjectTypeProperty'}, 'locomotive': {'label': 'volume (km3)', 'description': 'No description available DataTypeProperty'}, 'manufacturer': {'label': 'number of newly introduced sports', 'description': 'No description available DataTypeProperty'}, 'movement': {'label': 'reservations', 'description': 'Are reservations required for the establishment or event? DataTypeProperty'}, 'productionCompany': {'label': 'lethal when given to chickens', 'description': 'No description available DataTypeProperty'}, 'related': {'label': 'original maximum boat length (μ)', 'description': 'No description available DataTypeProperty'}, 'relatedMeanOfTransportation': {'label': 'number of bronze medals won', 'description': 'No description available DataTypeProperty'}, 'vehicle': {'label': 'area land (m2)', 'description': 'No description available DataTypeProperty'}, 'vehicleCode': {'label': 'vehicle code', 'description': 'Region related vehicle code on the vehicle plates. DataTypeProperty'}, 'vehiclesInFleet': {'label': 'faculty size', 'description': 'number of faculty members DataTypeProperty'}} Subgraph:[array(['Dodge', 'parentCompany', 'Stellantis'], dtype=object) array(['DeSoto_Firedome', 'manufacturer', 'DeSoto_(automobile)'], dtype=object) array(['Dodge', 'foundedBy', 'Horace_Elgin_Dodge'], dtype=object) array(['Dodge_Coronet', 'manufacturer', 'Dodge'], dtype=object) array(['DeSoto_Firedome', 'class', 'Full-size'], dtype=object) array(['Dodge', 'foundedBy', 'John_Francis_Dodge'], dtype=object)]Text: The DeSoto is related to the Dodge Coronet and 1955 Dodge, and is made by the DeSoto co. bot:[('DeSoto_Series_S-10', 'manufacturer', 'DeSoto_automobile'), ('DeSoto_Series_S-10', 'relatedMeanOfTransportation', 'Dodge_Coronet'), ('1955_Dodge', 'relatedMeanOfTransportation', 'DeSoto_Series_S-10')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'Satellite': {'label': 'Satellite', 'comment': 'An astronomic object orbiting around a planet or star. Definition partly derived from http://www.ontotext.com/proton/protonext# (and thus WordNet 1.7).'}, 'Restaurant': {'label': 'restaurant', 'comment': '-'}, 'Band': {'label': 'Band', 'comment': '-'}, 'Instrument': {'label': 'Instrument', 'comment': 'Describes all musical instrument'}, 'Caterer': {'label': 'Caterer', 'comment': '-'}} Available Properties: {'city': {'label': 'illiteracy', 'description': 'No description available DataTypeProperty'}, 'collectionSize': {'label': 'diseasesDb', 'description': 'No description available DataTypeProperty'}, 'country': {'label': 'eye colour', 'description': 'No description available DataTypeProperty'}, 'countryOrigin': {'label': 'number of licensed', 'description': 'nombre de personnes ayant une license pour pratiquer cette activité DataTypeProperty'}, 'countryWithFirstSatellite': {'label': 'handisport', 'description': 'No description available DataTypeProperty'}, 'countryWithFirstSatelliteLaunched': {'label': 'Has KML data associated with it (usually because of KML overlays)', 'description': 'No description available DataTypeProperty'}, 'danseScore': {'label': 'danse score', 'description': 'No description available DataTypeProperty'}, 'governmentCountry': {'label': 'boiling point (K)', 'description': 'No description available DataTypeProperty'}, 'imposedDanseScore': {'label': 'imposed danse score', 'description': 'No description available DataTypeProperty'}, 'jureLanguage': {'label': 'circumcised', 'description': 'No description available DataTypeProperty'}, 'location': {'label': 'currency code', 'description': 'ISO 4217 currency designators. DataTypeProperty'}, 'locationCity': {'label': 'date of latest election', 'description': 'No description available DataTypeProperty'}, 'musicBand': {'label': 'height (cm)', 'description': 'No description available DataTypeProperty'}, 'regionServed': {'label': 'number of bombs', 'description': 'No description available DataTypeProperty'}, 'relatedPlaces': {'label': 'cuisine', 'description': 'National cuisine of a Food or Restaurant DataTypeProperty'}, 'satcat': {'label': 'SATCAT', 'description': 'satellite catalogue number, omit leading zeroes (e.g. 25544) DataTypeProperty'}, 'satellite': {'label': 'height (cm)', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Bantenese_people', 'religion', 'Islam'], ['Sate_bandeng', 'ingredient', 'Milkfish'], ['Banten', 'timeZone', 'Time_in_Indonesia'], ['Sate_bandeng', 'creatorOfDish', 'Bantenese_people'], ['Indonesia', 'ethnicGroup', 'Ethnic_groups_in_Indonesia'], ['Indonesia', 'governmentType', 'Unitary_state'], ['Jakarta', 'governmentType', 'Subdivisions_of_Indonesia']]Text: Sate Bandeng is a popular Southeast Asian traditional cuisine from Banten, a province near Jakarta, Indonesia. bot:[('Sate_bandeng', 'country', 'Indonesia'), ('Sate_bandeng', 'countryOrigin', 'Indonesia'), ('Sate_bandeng', 'location', 'Banten')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'NationalSoccerClub': {'label': 'national soccer club', 'comment': '-'}, 'SoccerClub': {'label': 'soccer club', 'comment': '-'}, 'SoccerClubSeason': {'label': 'soccer club season', 'comment': '-'}, 'SportsClub': {'label': 'sports club', 'comment': '-'}, 'SoccerManager': {'label': 'soccer manager', 'comment': '-'}, 'SoccerLeague': {'label': 'soccer league', 'comment': 'A group of sports teams that compete against each other in soccer.'}, 'FormulaOneTeam': {'label': 'formula 1 team', 'comment': '-'}, 'HockeyClub': {'label': 'hockey club', 'comment': '-'}, 'SoccerLeagueSeason': {'label': 'soccer league season', 'comment': '-'}, 'RugbyClub': {'label': 'rugby club', 'comment': '-'}} Available Properties: {'appearancesInLeague': {'label': 'appearances in league', 'description': 'No description available DataTypeProperty'}, 'appearancesInNationalTeam': {'label': 'appearances in national team', 'description': 'No description available DataTypeProperty'}, 'club': {'label': 'number of live albums', 'description': 'the number of live albums released by the musical artist DataTypeProperty'}, 'coachClub': {'label': 'block', 'description': 'No description available DataTypeProperty'}, 'currentTeam': {'label': 'eruption date', 'description': 'No description available DataTypeProperty'}, 'currentTeamManager': {'label': 'year of first ascent', 'description': 'No description available DataTypeProperty'}, 'currentTeamMember': {'label': 'pictures Commons category', 'description': 'Wikimedia CommonsCategory for pictures of this resource DataTypeProperty'}, 'debutTeam': {'label': 'flash point', 'description': 'lowest temperature at which a substance can vaporize and start burning DataTypeProperty'}, 'europeanChampionship': {'label': 'european championship', 'description': 'No description available DataTypeProperty'}, 'fc': {'label': 'FC', 'description': 'No description available DataTypeProperty'}, 'frazioni': {'label': 'average speed (km/s)', 'description': 'The average speed of a thing. DataTypeProperty'}, 'goalsInNationalTeam': {'label': 'goals in national team', 'description': 'No description available DataTypeProperty'}, 'managerClub': {'label': 'Gray subject', 'description': "Refers to the famous 1918 edition of Gray's Anatomy. DataTypeProperty"}, 'nationalTeam': {'label': 'peopleName', 'description': 'Name for the people inhabiting a place, eg Ankara->Ankariotes, Bulgaria->Bulgarians DataTypeProperty'}, 'nationalTeamMatchPoint': {'label': 'national team match point', 'description': 'No description available DataTypeProperty'}, 'nationalTeamYear': {'label': 'national team year', 'description': 'No description available DataTypeProperty'}, 'ncaaTeam': {'label': 'minimum temperature (K)', 'description': 'No description available DataTypeProperty'}, 'numberOfClubs': {'label': 'number of clubs', 'description': 'number of clubs active in a given sport for a region DataTypeProperty'}, 'squadNumber': {'label': 'squad number', 'description': 'The number that an athlete wears in a team sport. DataTypeProperty'}, 'teamName': {'label': 'team name', 'description': 'No description available DataTypeProperty'}, 'youthClub': {'label': 'flag caption', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Association_football', 'equipment', 'Shinpad'], ['Italy_national_football_team', 'coach', 'Roberto_Mancini'], ['Alessio_Romagnoli', 'team', 'Italy_national_under-17_football_team'], ['Alessio_Romagnoli', 'team', 'U.C._Sampdoria'], ['Alessio_Romagnoli', 'team', 'A.C._Milan'], ['Alessio_Romagnoli', 'birthPlace', 'Italy_national_football_team'], ['Italy_national_football_team', 'stadium', 'List_of_football_stadiums_in_Italy'], ['Alessio_Romagnoli', 'team', 'S.S._Lazio'], ['Alessio_Romagnoli', 'team', 'Italy_national_under-19_football_team'], ['U.C._Sampdoria', 'manager', 'Dejan_Stanković'], ['Association_football', 'equipment', 'Ball_(association_football)'], ['Anzio', 'region', 'Lazio'], ['Alessio_Romagnoli', 'team', 'A.S._Roma'], ['Alessio_Romagnoli', 'team', 'Italy_national_under-16_football_team'], ['Alessio_Romagnoli', 'birthPlace', 'Anzio']]Text: Alessio Romagnoli's club is the Italy national under 19 football team and he is also connected to UC Sampdoria. bot:[('Alessio_Romagnoli', 'club', 'U.C._Sampdoria'), ('Alessio_Romagnoli', 'club', 'Italy_national_under-19_football_team'), ('Alessio_Romagnoli', 'type', 'Eukaryote')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'Airport': {'label': 'airport', 'comment': '-'}, 'Mosque': {'label': 'mosque', 'comment': 'A mosque, sometimes spelt mosk, is a place of worship for followers of Islam.'}, 'Cricketer': {'label': 'cricketer', 'comment': '-'}, 'Airline': {'label': 'airline', 'comment': '-'}, 'NetballPlayer': {'label': 'netball player', 'comment': '-'}, 'Manhwa': {'label': 'manhwa', 'comment': 'Korean term for comics and print cartoons'}, 'BasketballPlayer': {'label': 'basketball player', 'comment': '-'}, 'CricketGround': {'label': 'cricket ground', 'comment': '-'}, 'CricketLeague': {'label': 'cricket league', 'comment': 'a group of sports teams that compete against each other in Cricket'}, 'SoccerPlayer': {'label': 'soccer player', 'comment': '-'}} Available Properties: {'addressInRoad': {'label': 'average speed (km/s)', 'description': 'The average speed of a thing. DataTypeProperty'}, 'administrativeHeadCity': {'label': 'ICAO code', 'description': 'ICAO designation for airline companies DataTypeProperty'}, 'aircraftTransport': {'label': 'governorate', 'description': 'No description available DataTypeProperty'}, 'airportUsing': {'label': 'Different usage of an airport', 'description': 'No description available DataTypeProperty'}, 'city': {'label': 'illiteracy', 'description': 'No description available DataTypeProperty'}, 'collectionSize': {'label': 'diseasesDb', 'description': 'No description available DataTypeProperty'}, 'country': {'label': 'eye colour', 'description': 'No description available DataTypeProperty'}, 'departmentCode': {'label': ' ', 'description': 'No description available DataTypeProperty'}, 'faaLocationIdentifier': {'label': 'FAA Location Identifier', 'description': 'No description available DataTypeProperty'}, 'facilityId': {'label': 'facility id', 'description': 'No description available DataTypeProperty'}, 'governmentCountry': {'label': 'boiling point (K)', 'description': 'No description available DataTypeProperty'}, 'hubAirport': {'label': 'free', 'description': 'No description available DataTypeProperty'}, 'iataAirlineCode': {'label': 'IATA code', 'description': 'IATA designation for airline companies DataTypeProperty'}, 'iataLocationIdentifier': {'label': 'IATA Location Identifier', 'description': 'No description available DataTypeProperty'}, 'khlDraftTeam': {'label': 'diameter (μ)', 'description': 'No description available DataTypeProperty'}, 'largestCity': {'label': 'function start year', 'description': 'No description available DataTypeProperty'}, 'leader': {'label': 'number of all MuscialArtist playing the style', 'description': 'No description available DataTypeProperty'}, 'leaderName': {'label': 'original title', 'description': 'The original title of the work, most of the time in the original language as well DataTypeProperty'}, 'leaderParty': {'label': 'election majority', 'description': 'number of votes the office holder attained DataTypeProperty'}, 'location': {'label': 'currency code', 'description': 'ISO 4217 currency designators. DataTypeProperty'}, 'locationCity': {'label': 'date of latest election', 'description': 'No description available DataTypeProperty'}, 'mbaId': {'label': 'MBA Id', 'description': 'MusicBrainz is an open music encyclopedia that collects music metadata and makes it available to the public. DataTypeProperty'}, 'meetingCity': {'label': 'length (mm)', 'description': 'No description available DataTypeProperty'}, 'nearestCity': {'label': 'national tournament gold', 'description': 'No description available DataTypeProperty'}, 'omim': {'label': 'OMIM id', 'description': 'No description available DataTypeProperty'}, 'primeMinister': {'label': 'number of entities of Person class born in the place', 'description': 'No description available DataTypeProperty'}, 'targetAirport': {'label': 'mill code BE', 'description': 'mills code from the Belgian database on mills DataTypeProperty'}, 'ulanId': {'label': 'ULAN id', 'description': 'Union List of Artist Names id (Getty Research Institute). ULAN has 293,000 names and other information about artists. Names in ULAN may include given names, pseudonyms, variant spellings, names in multiple languages, and names that have changed over time (e.g., married names).\r\nhttp://vocab.getty.edu/ulan/$1 DataTypeProperty'}} Subgraph:[['Allama_Iqbal_International_Airport', 'location', 'Lahore'], ['India', 'largestCity', 'Delhi'], ['Lahore', 'timeZone', 'Pakistan_Standard_Time'], ['Anwar_Zaheer_Jamali', 'birthPlace', 'Hyderabad_(Sindh)'], ['Punjab', 'timeZone', 'Time_in_Pakistan'], ['Karachi', 'country', 'Pakistan'], ['Allama_Iqbal_International_Airport', 'location', 'Punjab,_Pakistan'], ['Punjab', 'country', 'Pakistan'], ['Punjab', 'timeZone', 'Indian_Standard_Time'], ['Pakistan', 'largestCity', 'Karachi'], ['Lahore', 'country', 'Pakistan'], ['Punjab', 'country', 'India'], ['Allama_Iqbal_International_Airport', 'city', 'Lahore'], ['Allama_Iqbal_International_Airport', 'location', 'Pakistan'], ['India', 'largestCity', 'Mumbai']]Text: Anwar Zaheer Jamali is the leader of Pakistan where Allama Iqbal International Airport which is found in Punjab and serves the city of Lahore. bot:[('Allama_Iqbal_International_Airport', 'city', 'Lahore'), ('Punjab,_Pakistan', 'country', 'Pakistan'), ('Pakistan', 'leader', 'Anwar_Zaheer_Jamali'), ('Allama_Iqbal_International_Airport', 'location', 'Punjab,_Pakistan'), ('Pakistan', 'type', 'Country')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'MusicalArtist': {'label': 'musical artist', 'comment': '-'}, 'Singer': {'label': 'Singer', 'comment': 'a person who sings.'}, 'MusicDirector': {'label': 'music director', 'comment': 'A person who is the director of an orchestra or concert band.'}, 'Instrumentalist': {'label': 'instrumentalist', 'comment': '-'}, 'MusicComposer': {'label': 'music composer', 'comment': 'a person who creates music.'}} Available Properties: {'administrativeCenter': {'label': 'musicFormat', 'description': 'The format of the album: EP, Single etc. DataTypeProperty'}, 'associatedMusicalArtist': {'label': 'iafd id', 'description': 'No description available DataTypeProperty'}, 'background': {'label': 'locality of a switzerland settlement', 'description': 'No description available DataTypeProperty'}, 'colour': {'label': 'external ornament', 'description': 'No description available DataTypeProperty'}, 'formerBandMember': {'label': 'last flight start date', 'description': 'No description available DataTypeProperty'}, 'genre': {'label': 'locality of a switzerland settlement', 'description': 'No description available DataTypeProperty'}, 'kindOfRock': {'label': 'kind of rock', 'description': 'No description available DataTypeProperty'}, 'linguisticsTradition': {'label': 'danse competition', 'description': 'No description available DataTypeProperty'}, 'literaryGenre': {'label': 'lunar surface time (s)', 'description': 'No description available DataTypeProperty'}, 'material': {'label': 'orientation', 'description': 'axis of alignment of an item, or direction perpendicular to its primary face (specify with P518 if necessary) DataTypeProperty'}, 'musicBrainzArtistId': {'label': 'MusicBrainz artist id', 'description': 'MusicBrainz artist. Applies to artists DataTypeProperty'}, 'musicComposer': {'label': 'national team match point', 'description': 'No description available DataTypeProperty'}, 'musicFusionGenre': {'label': 'free danse score', 'description': 'No description available DataTypeProperty'}, 'musicSubgenre': {'label': 'Deaths', 'description': 'Permanent, irreversible cessation of all biological functions that sustain a living organism ObjectTypeProperty'}, 'musicalArtist': {'label': 'weight (kg)', 'description': 'No description available DataTypeProperty'}, 'musicalBand': {'label': 'apoapsis (km)', 'description': 'No description available DataTypeProperty'}, 'musicalKey': {'label': 'musical key', 'description': 'No description available DataTypeProperty'}, 'style': {'label': 'depth quote', 'description': 'No description available DataTypeProperty'}, 'stylisticOrigin': {'label': 'free prog score', 'description': 'No description available DataTypeProperty'}, 'terytCode': {'label': 'band', 'description': 'No description available DataTypeProperty'}} Subgraph:[array(['Rockabilly', 'musicFusionGenre', 'Swamp_rock'], dtype=object) array(['Rock_music', 'musicSubgenre', 'Punk_rock'], dtype=object) array(['Country_music', 'musicFusionGenre', 'Psychobilly'], dtype=object) array(['Rock_music', 'musicFusionGenre', 'Country_rock'], dtype=object) array(['Country_music', 'musicFusionGenre', 'Bro-country'], dtype=object) array(['Rock_music', 'musicSubgenre', 'Art_rock'], dtype=object) array(['Rock_music', 'musicSubgenre', 'Post-punk'], dtype=object) array(['Country_music', 'musicFusionGenre', 'Country_rock'], dtype=object) array(['Rock_music', 'musicFusionGenre', 'Latin_rock'], dtype=object) array(['Rock_music', 'musicSubgenre', 'Arena_rock'], dtype=object) array(['Rock_music', 'musicSubgenre', 'Stoner_rock'], dtype=object) array(['Contemporary_folk_music', 'musicFusionGenre', 'Folk_rock'], dtype=object) array(['Rock_music', 'musicSubgenre', 'Surf_music'], dtype=object) array(['Country_music', 'musicSubgenre', 'Alternative_country'], dtype=object) array(['Contemporary_folk_music', 'musicFusionGenre', 'Folk_metal'], dtype=object) array(['Rock_music', 'musicSubgenre', 'Acid_rock'], dtype=object) array(['Country_music', 'musicSubgenre', 'Christian_country_music'], dtype=object) array(['Rock_music', 'musicSubgenre', 'Roots_rock'], dtype=object) array(['Country_rock', 'musicFusionGenre', 'West_Coast_country'], dtype=object) array(['Rock_music', 'musicFusionGenre', 'Blues_rock'], dtype=object) array(['Rock_music', 'musicFusionGenre', 'Samba_rock'], dtype=object) array(['Rock_music', 'musicSubgenre', 'Heartland_rock'], dtype=object) array(['Rock_music', 'musicFusionGenre', 'Industrial_rock'], dtype=object) array(['Rock_music', 'musicSubgenre', 'Occult_rock'], dtype=object) array(['Rock_music', 'musicFusionGenre', 'Rap_rock'], dtype=object) array(['Contemporary_folk_music', 'musicFusionGenre', 'Folk_punk'], dtype=object) array(['Folk_music', 'musicFusionGenre', 'Anti-folk'], dtype=object) array(['Country_music', 'musicFusionGenre', 'Rockabilly'], dtype=object) array(['Contemporary_folk_music', 'musicFusionGenre', 'Jazz_folk'], dtype=object) array(['Rock_music', 'musicFusionGenre', 'Reggae_rock'], dtype=object) array(['Rock_music', 'musicSubgenre', 'Hard_rock'], dtype=object) array(['Rock_music', 'musicSubgenre', 'Soft_rock'], dtype=object) array(['Rock_music', 'musicSubgenre', 'Alternative_rock'], dtype=object) array(['Contemporary_folk_music', 'musicFusionGenre', 'Neofolk'], dtype=object) array(['Country_music', 'musicSubgenre', 'Western_swing'], dtype=object) array(['Folk_music', 'musicFusionGenre', 'Neofolk'], dtype=object) array(['Contemporary_folk_music', 'musicFusionGenre', 'Folk-pop'], dtype=object) array(['Rock_music', 'musicSubgenre', 'Garage_rock'], dtype=object) array(['Country_music', 'musicFusionGenre', 'Country_pop'], dtype=object) array(['Country_music', 'musicSubgenre', 'Progressive_country'], dtype=object) array(['Country_music', 'musicFusionGenre', 'Gothabilly'], dtype=object) array(['Rock_music', 'musicSubgenre', 'Christian_rock'], dtype=object) array(['Contemporary_folk_music', 'musicFusionGenre', 'Folk_baroque'], dtype=object) array(['Country_music', 'musicFusionGenre', 'Swamp_rock'], dtype=object) array(['Rock_music', 'musicSubgenre', 'Progressive_rock'], dtype=object) array(['Folk_music', 'musicSubgenre', 'Contemporary_folk_music_(worldwide)'], dtype=object) array(['Alan_Frew', 'associatedMusicalArtist', 'Glass_Tiger'], dtype=object) array(['Rock_music', 'musicSubgenre', 'Heavy_metal_music'], dtype=object) array(['Rock_music', 'musicSubgenre', 'Indie_rock'], dtype=object) array(['Country_music', 'musicSubgenre', 'Neotraditional_country'], dtype=object) array(['Contemporary_folk_music', 'musicFusionGenre', 'Anti-folk'], dtype=object) array(['Rock_music', 'musicFusionGenre', 'Sufi_rock'], dtype=object) array(['Rock_music', 'musicFusionGenre', 'Raga_rock'], dtype=object) array(['Contemporary_folk_music', 'musicFusionGenre', 'Psychedelic_folk'], dtype=object) array(['Contemporary_folk_music', 'musicFusionGenre', 'Folk_blues'], dtype=object) array(['Country_music', 'musicFusionGenre', 'Country_rap'], dtype=object) array(['Folk_music', 'musicFusionGenre', 'Skiffle'], dtype=object) array(['Rock_music', 'musicFusionGenre', 'Noise_rock'], dtype=object) array(['Rock_music', 'musicSubgenre', 'Beat_music'], dtype=object) array(['Rock_music', 'musicSubgenre', 'Post-rock'], dtype=object) array(['Rock_music', 'musicFusionGenre', 'Dance_rock'], dtype=object) array(['Rock_music', 'musicFusionGenre', 'Jazz_rock'], dtype=object) array(['Contemporary_folk_music', 'musicFusionGenre', 'Indie_folk'], dtype=object) array(['Country_music', 'musicSubgenre', 'Outlaw_country'], dtype=object) array(['Rock_music', 'musicSubgenre', 'Experimental_rock'], dtype=object) array(['Rock_music', 'musicSubgenre', 'Death_rock'], dtype=object) array(['Rock_music', 'musicFusionGenre', 'Pop_rock'], dtype=object) array(['Rock_music', 'musicFusionGenre', 'Baroque_pop'], dtype=object) array(['Glass_Tiger', 'bandMember', 'Al_Connelly'], dtype=object) array(['Rockabilly', 'musicFusionGenre', 'Psychobilly'], dtype=object) array(['Folk_music', 'musicSubgenre', 'Contemporary_folk_music'], dtype=object) array(['Rock_music', 'musicSubgenre', 'Power_pop'], dtype=object) array(['Rockabilly', 'musicFusionGenre', 'Metalbilly'], dtype=object) array(['Country_music', 'musicFusionGenre', 'Cowpunk'], dtype=object) array(['Industrial_rock', 'musicFusionGenre', 'Industrial_metal'], dtype=object) array(['Rockabilly', 'musicFusionGenre', 'Gothabilly'], dtype=object) array(['Rock_music', 'musicSubgenre', 'Psychedelic_rock'], dtype=object) array(['Alan_Frew', 'genre', 'Alternative_rock'], dtype=object) array(['Contemporary_folk_music', 'musicFusionGenre', 'Folktronica'], dtype=object) array(['Glass_Tiger', 'bandMember', 'Alan_Frew'], dtype=object) array(['Folk_music', 'musicFusionGenre', 'Folk_rock'], dtype=object) array(['Folk_music', 'musicFusionGenre', 'Folk_metal'], dtype=object) array(['Glass_Tiger', 'bandMember', 'Sam_Reid_(musician)'], dtype=object) array(['Rock_music', 'musicFusionGenre', 'Electronic_rock'], dtype=object) array(['Country_music', 'musicFusionGenre', 'Jimmy_Buffett'], dtype=object) array(['Country_music', 'musicFusionGenre', 'Countrycore'], dtype=object) array(['Rock_music', 'musicSubgenre', 'Glam_rock'], dtype=object) array(['Rock_music', 'musicFusionGenre', 'Funk_rock'], dtype=object) array(['Country_music', 'musicFusionGenre', 'Southern_soul'], dtype=object) array(['Rock_music', 'musicFusionGenre', 'Folk_rock'], dtype=object)]Text: Alan Frew is a solo singer of rock music. Rock music has origins in country music and folk music, and A musical fusion of rock music is bhangra music. bot:[('Alan_Frew', 'background', 'solo_singer'), ('Alan_Frew', 'genre', 'Rock_music'), ('Rock_music', 'musicFusionGenre', 'Bhangra_(music)'), ('Rock_music', 'stylisticOrigin', 'Folk_music'), ('Rock_music', 'stylisticOrigin', 'Country_music'), ('Alan_Frew', 'type', 'Eukaryote'), ('Rock_music', 'type', 'MusicGenre')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'SubMunicipality': {'label': 'borough', 'comment': 'An administrative body governing a territorial unity on the lowest level, administering part of a municipality'}, 'City': {'label': 'city', 'comment': 'a relatively large and permanent settlement, particularly a large urban settlement'}, 'Place': {'label': 'place', 'comment': '-'}, 'Island': {'label': 'island', 'comment': '-'}, 'CityDistrict': {'label': 'city district', 'comment': 'District, borough, area or neighbourhood in a city or town'}} Available Properties: {'activity': {'label': 'locationName', 'description': 'Location of the thing as string. Use "location" if the location is a resource DataTypeProperty'}, 'announcedFrom': {'label': 'number of platform levels', 'description': 'Number of levels of platforms at the station. DataTypeProperty'}, 'borough': {'label': 'Dewey Decimal Classification', 'description': 'The Dewey Decimal Classification is a proprietary system of library classification developed by Melvil Dewey in 1876. DataTypeProperty'}, 'city': {'label': 'illiteracy', 'description': 'No description available DataTypeProperty'}, 'cityLink': {'label': 'city link', 'description': 'No description available DataTypeProperty'}, 'departmentPosition': {'label': 'geolocDepartment', 'description': 'No description available ObjectTypeProperty'}, 'isPartOf': {'label': 'orbital inclination', 'description': 'orbital inclination of a stable orbit DataTypeProperty'}, 'location': {'label': 'currency code', 'description': 'ISO 4217 currency designators. DataTypeProperty'}, 'locationCity': {'label': 'date of latest election', 'description': 'No description available DataTypeProperty'}, 'locationIdentifier': {'label': 'Location Identifier', 'description': 'No description available DataTypeProperty'}, 'metropolitanBorough': {'label': 'agency station code', 'description': 'Agency station code (used on tickets/reservations, etc.). DataTypeProperty'}, 'northEastPlace': {'label': 'Wiki page out degree', 'description': 'Reserved for DBpedia. DataTypeProperty'}, 'northPlace': {'label': 'area', 'description': 'Area of something. Use "value" for the value, "min" & "max" for a range (if uncertain) and "rank" (integer) for the rank of that thing amongst its siblings (eg regions ordered by area) DataTypeProperty'}, 'northWestPlace': {'label': 'speaker', 'description': 'number of office holder DataTypeProperty'}, 'superTribus': {'label': 'long distance piste number', 'description': 'No description available DataTypeProperty'}, 'urbanArea': {'label': 'urban area', 'description': 'No description available DataTypeProperty'}} Subgraph:[array(['Manhattan', 'country', 'United_States'], dtype=object) array(['New_Netherland', 'currency', 'Dutch_rijksdaalder'], dtype=object) array(['New_Netherland', 'religion', 'Dutch_Reformed'], dtype=object) array(['New_Netherland', 'currency', 'Thaler'], dtype=object) array(['New_York_City', 'country', 'United_States'], dtype=object) array(['United_States', 'largestCity', 'New_York_City'], dtype=object)]Text: Manhattan is part of New York City, which was part of New Netherland, and is the location of Asser Levy Public Baths. bot:[('New_York_City', 'isPartOf', 'Manhattan'), ('New_York_City', 'isPartOf', 'New_Netherland'), ('Asser_Levy_Recreation_Center', 'location', 'New_York_City')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'Instrumentalist': {'label': 'instrumentalist', 'comment': '-'}, 'SongWriter': {'label': 'songwriter', 'comment': 'a person who writes songs.'}, 'Guitarist': {'label': 'guitarist', 'comment': '-'}, 'RecordLabel': {'label': 'record label', 'comment': '-'}, 'MusicalArtist': {'label': 'musical artist', 'comment': '-'}, 'Singer': {'label': 'Singer', 'comment': 'a person who sings.'}, 'MusicDirector': {'label': 'music director', 'comment': 'A person who is the director of an orchestra or concert band.'}, 'ChartsPlacements': {'label': 'Place in the Music Charts', 'comment': '-'}, 'MusicComposer': {'label': 'music composer', 'comment': 'a person who creates music.'}, 'ClassicalMusicArtist': {'label': 'classical music artist', 'comment': '-'}} Available Properties: {'administrativeCenter': {'label': 'musicFormat', 'description': 'The format of the album: EP, Single etc. DataTypeProperty'}, 'artistFunction': {'label': 'artist function', 'description': 'Artist function: vocal, group, instrumentalist, compositor... DataTypeProperty'}, 'associatedBand': {'label': 'human development index rank', 'description': 'No description available DataTypeProperty'}, 'associatedMusicalArtist': {'label': 'iafd id', 'description': 'No description available DataTypeProperty'}, 'bandMember': {'label': 'ensemble', 'description': 'No description available DataTypeProperty'}, 'bowlRecord': {'label': 'bowl record', 'description': 'No description available DataTypeProperty'}, 'chorusCharacterInPlay': {'label': 'chorus character in play', 'description': 'The name of the (Greek) chorus character in play. DataTypeProperty'}, 'coachingRecord': {'label': 'coaching record', 'description': 'No description available DataTypeProperty'}, 'distributingLabel': {'label': 'highest point of the island', 'description': 'No description available DataTypeProperty'}, 'formerBandMember': {'label': 'last flight start date', 'description': 'No description available DataTypeProperty'}, 'genre': {'label': 'locality of a switzerland settlement', 'description': 'No description available DataTypeProperty'}, 'literaryGenre': {'label': 'lunar surface time (s)', 'description': 'No description available DataTypeProperty'}, 'musicBand': {'label': 'height (cm)', 'description': 'No description available DataTypeProperty'}, 'musicBrainzArtistId': {'label': 'MusicBrainz artist id', 'description': 'MusicBrainz artist. Applies to artists DataTypeProperty'}, 'musicComposer': {'label': 'national team match point', 'description': 'No description available DataTypeProperty'}, 'musicFusionGenre': {'label': 'free danse score', 'description': 'No description available DataTypeProperty'}, 'musicalArtist': {'label': 'weight (kg)', 'description': 'No description available DataTypeProperty'}, 'musicalBand': {'label': 'apoapsis (km)', 'description': 'No description available DataTypeProperty'}, 'numberOfMusicalArtistInstrument': {'label': 'number of all MuscialArtist playing the instrument', 'description': 'No description available DataTypeProperty'}, 'performer': {'label': 'apoapsis (km)', 'description': 'No description available DataTypeProperty'}, 'recordLabel': {'label': 'number of Person class (entities) in DBpedia', 'description': 'No description available DataTypeProperty'}, 'residence': {'label': 'libretto', 'description': 'No description available DataTypeProperty'}, 'rolandGarrosSingle': {'label': 'roland garros single', 'description': 'No description available DataTypeProperty'}, 'silverMedalSingle': {'label': 'silver medal single', 'description': 'No description available DataTypeProperty'}, 'soundRecording': {'label': 'lunar EVA time (s)', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Rabadash', 'nationality', 'Calormen'], ['Okeh_Records', 'distributingLabel', 'Sony_Masterworks'], ['Anders_Osborne', 'associatedMusicalArtist', 'Theresa_Andersson'], ['Anders_Osborne', 'recordLabel', 'Shanachie_Records'], ['Rabadash', 'series', 'The_Chronicles_of_Narnia'], ['Okeh_Records', 'distributingLabel', 'Legacy_Recordings'], ['Anders_Osborne', 'associatedMusicalArtist', 'Kirk_Joseph'], ['Anders_Osborne', 'associatedMusicalArtist', 'Voice_of_the_Wetlands_All-Stars'], ['Anders_Osborne', 'recordLabel', 'Alligator_Records'], ['Anders_Osborne', 'associatedMusicalArtist', 'Southern_Soul_Assembly'], ['Anders_Osborne', 'recordLabel', 'Rabadash_Records'], ['Anders_Osborne', 'associatedMusicalArtist', 'Johnny_Sansone'], ['Anders_Osborne', 'associatedMusicalArtist', 'The_Revivalists'], ['Anders_Osborne', 'recordLabel', 'Okeh_Records'], ['Alligator_Records', 'distributingLabel', 'Alternative_Distribution_Alliance'], ['Anders_Osborne', 'associatedMusicalArtist', 'Galactic'], ['Anders_Osborne', 'associatedMusicalArtist', 'North_Mississippi_Allstars'], ['Alligator_Records', 'distributingLabel', 'Warner_Music_Canada'], ['Anders_Osborne', 'recordLabel', 'Back_on_Dumaine_Records'], ['Anders_Osborne', 'associatedMusicalArtist', 'Tab_Benoit'], ['Anders_Osborne', 'associatedMusicalArtist', 'Billy_Iuso'], ['Anders_Osborne', 'associatedMusicalArtist', 'Phil_Lesh_&_Friends']]Text: Anders Osborne who is signed to the Rabadash Records label, performs Blues music. bot:[('Anders_Osborne', 'genre', 'Blues'), ('Anders_Osborne', 'recordLabel', 'Rabadash_Records')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'HistoricBuilding': {'label': 'historic building', 'comment': '-'}, 'Architect': {'label': 'architect', 'comment': '-'}, 'Building': {'label': 'building', 'comment': 'Building is defined as a Civil Engineering structure such as a house, worship center, factory etc. that has a foundation, wall, roof etc. that protect human being and their properties from direct harsh effect of weather like rain, wind, sun etc. (http://en.wikipedia.org/wiki/Building).'}, 'Skyscraper': {'label': 'skyscraper', 'comment': '-'}, 'Tower': {'label': 'tower', 'comment': 'A Tower is a kind of structure (not necessarily a building) that is higher than the rest'}, 'HistoricalDistrict': {'label': 'Historical district', 'comment': 'a place which used to be a district.'}, 'WaterTower': {'label': 'Water tower', 'comment': 'a construction designed to store larger quantities of water at a place of some elevation in order to keep pressure on the water provision system'}, 'RugbyClub': {'label': 'rugby club', 'comment': '-'}, 'ArchitecturalStructure': {'label': 'architectural structure', 'comment': 'An architectural structure is a human-made, free-standing, immobile outdoor construction (http://en.wikipedia.org/wiki/Architectural_structure).'}, 'ReligiousBuilding': {'label': 'religious building', 'comment': '-'}} Available Properties: {'addressInRoad': {'label': 'average speed (km/s)', 'description': 'The average speed of a thing. DataTypeProperty'}, 'architect': {'label': 'grave', 'description': 'No description available DataTypeProperty'}, 'architecturalMovement': {'label': 'architectural movement', 'description': 'No description available DataTypeProperty'}, 'architecturalStyle': {'label': 'area of a land (m2)', 'description': 'No description available DataTypeProperty'}, 'atRowNumber': {'label': 'row number', 'description': 'Row number where the referenced resource is to be found in the source file DataTypeProperty'}, 'brinCode': {'label': 'BRIN code', 'description': 'The code used by the Dutch Ministry of Education to identify a school (as an organisation) DataTypeProperty'}, 'builder': {'label': 'austrian land tag mandate', 'description': 'No description available DataTypeProperty'}, 'building': {'label': 'BRIN code', 'description': 'The code used by the Dutch Ministry of Education to identify a school (as an organisation) DataTypeProperty'}, 'countryOrigin': {'label': 'number of licensed', 'description': 'nombre de personnes ayant une license pour pratiquer cette activité DataTypeProperty'}, 'designer': {'label': 'information name', 'description': 'No description available DataTypeProperty'}, 'leader': {'label': 'number of all MuscialArtist playing the style', 'description': 'No description available DataTypeProperty'}, 'leaderName': {'label': 'original title', 'description': 'The original title of the work, most of the time in the original language as well DataTypeProperty'}, 'leaderParty': {'label': 'election majority', 'description': 'number of votes the office holder attained DataTypeProperty'}, 'location': {'label': 'currency code', 'description': 'ISO 4217 currency designators. DataTypeProperty'}, 'locationCity': {'label': 'date of latest election', 'description': 'No description available DataTypeProperty'}, 'mainBuilding': {'label': 'main building', 'description': 'No description available DataTypeProperty'}, 'musicType': {'label': 'main islands', 'description': 'No description available DataTypeProperty'}, 'numberOfHouses': {'label': 'number of houses present)', 'description': 'Count of the houses in the Protected Area DataTypeProperty'}, 'origin': {'label': 'number of participating female athletes', 'description': 'No description available DataTypeProperty'}, 'postalCode': {'label': 'postal code', 'description': 'A postal code (known in various countries as a post code, postcode, or ZIP code) is a series of letters and/or digits appended to a postal address for the purpose of sorting mail. DataTypeProperty'}, 'significantBuilding': {'label': 'longtype', 'description': 'can be used to include more informations e.g. the name of the artist that a tribute album is in honor of DataTypeProperty'}, 'stateOfOrigin': {'label': 'free prog competition', 'description': 'No description available DataTypeProperty'}, 'type': {'label': 'other wins', 'description': 'No description available DataTypeProperty'}, 'voiceType': {'label': 'EntrezGene', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Birmingham', 'subdivision', 'West_Midlands_(county)'], ['Birmingham', 'subdivision', 'West_Midlands_(region)'], ['Birmingham', 'subdivision', 'Worcestershire'], ['Colmore_Row', 'routeEnd', 'Victoria_Square,_Birmingham'], ['Birmingham', 'timeZone', 'Greenwich_Mean_Time'], ['Birmingham', 'timeZone', 'British_Summer_Time'], ['Birmingham', 'country', 'United_Kingdom'], ['Birmingham', 'subdivision', 'Staffordshire'], ['Birmingham', 'subdivision', 'England'], ['Birmingham', 'subdivision', 'Warwickshire']]Text: Tory-controlled Birmingham (postcode area B), is home to John Madin, the architect who designed 103 Colmore Row. bot:[('103_Colmore_Row', 'architect', 'John_Madin'), ('Birmingham', 'leader', 'Conservative_Party_(UK)'), ('John_Madin', 'origin', 'Birmingham'), ('Birmingham', 'postalCode', 'B_postcode_area'), ('Birmingham', 'type', 'City'), ('103_Colmore_Row', 'type', 'Building'), ('Conservative_Party_(UK)', 'type', 'PoliticalParty'), ('103_Colmore_Row', 'type', 'ArchitecturalStructure'), ('Conservative_Party_(UK)', 'type', 'Hyphen-minus'), ('Birmingham', 'type', 'Location')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'Software': {'label': 'software', 'comment': '-'}, 'ProgrammingLanguage': {'label': 'programming language', 'comment': '-'}, 'LawFirm': {'label': 'law firm', 'comment': 'A law firm is a business entity formed by one or more lawyers to engage in the practice of law. The primary service provided by a law firm is to advise clients (individuals or corporations) about their legal rights and responsibilities, and to represent their clients in civil or criminal cases, business transactions, and other matters in which legal advice and other assistance are sought.'}, 'VideoGame': {'label': 'video game', 'comment': 'A video game is an electronic game that involves interaction with a user interface to generate visual feedback on a video device.'}, 'Spacecraft': {'label': 'spacecraft', 'comment': '-'}} Available Properties: {'calculationNeeds': {'label': 'discontinued', 'description': 'No description available DataTypeProperty'}, 'commissioningDate': {'label': 'commissioning date', 'description': 'No description available DataTypeProperty'}, 'compiler': {'label': 'PersonsFirstDosesCumul', 'description': 'Number of persons received first vaccine doses DataTypeProperty'}, 'computingPlatform': {'label': 'The extension of this file', 'description': 'No description available DataTypeProperty'}, 'contractor': {'label': 'complications', 'description': 'No description available DataTypeProperty'}, 'creatorOfDish': {'label': 'motive', 'description': 'The motive of the crime(s) this individual is known for. DataTypeProperty'}, 'designer': {'label': 'information name', 'description': 'No description available DataTypeProperty'}, 'developer': {'label': 'FC', 'description': 'No description available DataTypeProperty'}, 'lastLaunch': {'label': 'last launch', 'description': 'No description available DataTypeProperty'}, 'mergerDate': {'label': 'merger date', 'description': 'No description available DataTypeProperty'}, 'previousEditor': {'label': 'note on place of burial', 'description': 'No description available DataTypeProperty'}, 'southEastPlace': {'label': 'licensee', 'description': 'Identify which company or entity holds the licence (mostly string are used in Wikipedia, therefore range is xsd:sting). DataTypeProperty'}} Subgraph:[['Dell_EMC', 'product', 'Dell_EMC'], ['VMware', 'product', 'VMware_Player'], ['VMware', 'product', 'VMware_ThinApp'], ['Roger_Marino', 'birthPlace', 'Massachusetts'], ['Dell_EMC', 'foundedBy', 'Richard_Egan_(businessman)'], ['Pivotal_Software', 'parentCompany', 'VMware'], ['Dell_EMC', 'foundedBy', 'Roger_Marino'], ['VMware', 'product', 'VMware_View'], ['VMware', 'product', 'VMware_vSphere'], ['VMware', 'product', 'VMware_Infrastructure'], ['VMware', 'product', 'VMware_ESXi'], ['VMware', 'product', 'VMware_Fusion']]Text: The software was originally developed by VMware, transferred to Pivotal Software (a joint venture by EMC, VMware and General Electric) but brought back into VMware at the end of 2019 with VMware's take over of Pivotal. bot:[('Cloud_Foundry', 'developer', 'Pivotal_Software'), ('Cloud_Foundry', 'developer', 'VMware')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'Airport': {'label': 'airport', 'comment': '-'}, 'Airline': {'label': 'airline', 'comment': '-'}, 'CareerStation': {'label': 'career station', 'comment': 'this class marks a career step in the life of a person, e.g. a soccer player, holding information on the time span, matches and goals he or she achieved at a certain club'}, 'YearInSpaceflight': {'label': 'year in spaceflight', 'comment': '-'}, 'Aircraft': {'label': 'aircraft', 'comment': '-'}, 'Hospital': {'label': 'hospital', 'comment': '-'}, 'Pilot': {'label': 'Pilot', 'comment': '-'}, 'Stadium': {'label': 'stadium', 'comment': '-'}, 'MilitaryAircraft': {'label': 'military aircraft', 'comment': '-'}, 'TelevisionStation': {'label': 'television station', 'comment': 'A television station has usually one line up. For instance the television station WABC-TV (or ABC 7, Channel 7). Not to be confused with the broadcasting network ABC, which has many television stations.'}} Available Properties: {'airDate': {'label': 'airdate', 'description': 'No description available DataTypeProperty'}, 'aircraftPatrol': {'label': 'gold medal mixed', 'description': 'No description available DataTypeProperty'}, 'aircraftUser': {'label': 'LCC', 'description': 'The Library of Congress Classification (LCC) is a system of library classification developed by the Library of Congress. DataTypeProperty'}, 'careerStation': {'label': 'final publication year', 'description': 'Year of the final publication. DataTypeProperty'}, 'designer': {'label': 'information name', 'description': 'No description available DataTypeProperty'}, 'faaLocationIdentifier': {'label': 'FAA Location Identifier', 'description': 'No description available DataTypeProperty'}, 'firstFlightEndDate': {'label': 'first flight end date', 'description': 'No description available DataTypeProperty'}, 'hubAirport': {'label': 'free', 'description': 'No description available DataTypeProperty'}, 'landingDate': {'label': 'landing date', 'description': 'No description available DataTypeProperty'}, 'lastAirDate': {'label': 'last air date', 'description': 'The date on which the broadcaster made its last broadcast. DataTypeProperty'}, 'movement': {'label': 'reservations', 'description': 'Are reservations required for the establishment or event? DataTypeProperty'}, 'musicType': {'label': 'main islands', 'description': 'No description available DataTypeProperty'}, 'runwayDesignation': {'label': 'designation of runway', 'description': 'No description available DataTypeProperty'}, 'significantDesign': {'label': 'Astrazenca', 'description': 'AstraZeneca plc is a British-Swedish multinational pharmaceutical and biotechnology company with its headquarters at the Cambridge Biomedical Campus in Cambridge, England. DataTypeProperty'}, 'targetAirport': {'label': 'mill code BE', 'description': 'mills code from the Belgian database on mills DataTypeProperty'}, 'type': {'label': 'other wins', 'description': 'No description available DataTypeProperty'}, 'voiceType': {'label': 'EntrezGene', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Al_Anbar_Governorate', 'politicalLeader', 'Al_Anbar_Governorate__PoliticalFunction__1'], ['Al_Anbar_Governorate', 'country', 'Iraq'], ['Al_Asad_Airbase', 'location', 'Al_Anbar_Governorate'], ['Al_Asad_Airbase', 'owner', 'Ministry_of_Defence_(Iraq)']]Text: ''08/26'' is the runway name at Al Asad Airbase. bot:[('Al_Asad_Airbase', 'runwayDesignation', '08/26'), ('Al_Asad_Airbase', 'type', 'ArchitecturalStructure'), ('Al_Asad_Airbase', 'type', 'MilitaryStructure')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'VoiceActor': {'label': 'voice actor', 'comment': '-'}, 'Actor': {'label': 'actor', 'comment': 'An actor or actress is a person who acts in a dramatic production and who works in film, television, theatre, or radio in that capacity.'}, 'AdultActor': {'label': 'adult (pornographic) actor', 'comment': 'A pornographic actor or actress or a porn star is a person who performs sex acts in film, normally characterised as a pornographic film.'}, 'Singer': {'label': 'Singer', 'comment': 'a person who sings.'}, 'MovieDirector': {'label': 'Movie director', 'comment': 'a person who oversees making of film.'}} Available Properties: {'birthDate': {'label': 'birth date', 'description': 'No description available DataTypeProperty'}, 'birthName': {'label': 'birth name', 'description': 'full name of a person at birth, if different from their current, generally used name DataTypeProperty'}, 'birthPlace': {'label': 'Bioavailability', 'description': '"The rate and extent to which the active ingredient or active moiety is absorbed from a drug product and becomes available at the site of action. For drug products that are not intended to be absorbed into the bloodstream, bioavailability may be assessed by measurements intended to reflect the rate and extent to which the active ingredient or active moiety becomes available at the site of action (21CFR320.1)." DataTypeProperty'}, 'birthSign': {'label': 'Moderna', 'description': 'Moderna, Inc is an American pharmaceutical and biotechnology company based in Cambridge, Massachusetts. DataTypeProperty'}, 'chairman': {'label': 'id number', 'description': 'No description available DataTypeProperty'}, 'director': {'label': 'european championship', 'description': 'No description available DataTypeProperty'}, 'executiveProducer': {'label': 'number of launches', 'description': 'No description available DataTypeProperty'}, 'formerBandMember': {'label': 'last flight start date', 'description': 'No description available DataTypeProperty'}, 'formerChoreographer': {'label': 'end date', 'description': 'The end date of the event. DataTypeProperty'}, 'formerName': {'label': 'former name', 'description': 'No description available DataTypeProperty'}, 'oldName': {'label': 'old name', 'description': 'No description available DataTypeProperty'}, 'previousWorkDate': {'label': 'classification', 'description': 'Any string representing a class or category this thing is assigned to. DataTypeProperty'}, 'retired': {'label': 'number of launches', 'description': 'No description available DataTypeProperty'}, 'undraftedYear': {'label': 'undrafted year', 'description': 'No description available DataTypeProperty'}} Subgraph:[]Text: Ned Thomas Beatty (born July 6, 1937) is a retired American actor and singer. bot:[('Ned_Beatty', 'birthDate', '06/07/1937')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'Archipelago': {'label': 'archipelago', 'comment': '-'}, 'AdministrativeRegion': {'label': 'administrative region', 'comment': 'A PopulatedPlace under the jurisdiction of an administrative body. This body may administer either a whole region or one or more adjacent Settlements (town administration)'}, 'Country': {'label': 'country', 'comment': '-'}, 'GovernmentalAdministrativeRegion': {'label': 'governmental administrative region', 'comment': 'An administrative body governing some territorial unity, in this case a governmental administrative body'}, 'EthnicGroup': {'label': 'ethnic group', 'comment': '-'}, 'NarutoCharacter': {'label': 'naruto character', 'comment': '-'}, 'CapitalOfRegion': {'label': 'Capital of region', 'comment': 'seat of a first order administration division.'}, 'Prefecture': {'label': 'prefecture', 'comment': '-'}, 'SambaSchool': {'label': 'samba school', 'comment': '-'}, 'Region': {'label': 'region', 'comment': '-'}} Available Properties: {'GeopoliticalOrganisation/areaMetro': {'label': 'name in Mindongyu Chinese', 'description': 'No description available DataTypeProperty'}, 'PopulatedPlace/areaMetro': {'label': 'name in Mindongyu Chinese', 'description': 'No description available DataTypeProperty'}, 'PopulatedPlace/areaUrban': {'label': 'number of licensed', 'description': 'nombre de personnes ayant une license pour pratiquer cette activité DataTypeProperty'}, 'amateurKo': {'label': 'amateur ko', 'description': 'No description available DataTypeProperty'}, 'asiaChampionship': {'label': 'asia championship', 'description': 'No description available DataTypeProperty'}, 'capitalCountry': {'label': 'speed limit (kmh)', 'description': 'No description available DataTypeProperty'}, 'collectionSize': {'label': 'diseasesDb', 'description': 'No description available DataTypeProperty'}, 'country': {'label': 'eye colour', 'description': 'No description available DataTypeProperty'}, 'countryOrigin': {'label': 'number of licensed', 'description': 'nombre de personnes ayant une license pour pratiquer cette activité DataTypeProperty'}, 'departmentCode': {'label': ' ', 'description': 'No description available DataTypeProperty'}, 'ethnicGroup': {'label': 'election date leader', 'description': 'The date that leader was elected. DataTypeProperty'}, 'governmentCountry': {'label': 'boiling point (K)', 'description': 'No description available DataTypeProperty'}, 'governmentRegion': {'label': 'height (mm)', 'description': 'No description available DataTypeProperty'}, 'highestMountain': {'label': 'region', 'description': 'The regin where the thing is located or is connected to. ObjectTypeProperty'}, 'nameInHangulKorean': {'label': 'name in Hangul-written Korean', 'description': 'No description available DataTypeProperty'}, 'nameInMindongyuChinese': {'label': 'name in Mindongyu Chinese', 'description': 'No description available DataTypeProperty'}, 'rebuilder': {'label': 'ko', 'description': 'No description available DataTypeProperty'}, 'regionServed': {'label': 'number of bombs', 'description': 'No description available DataTypeProperty'}, 'regionalLanguage': {'label': 'first publication date', 'description': 'Date of the first publication. DataTypeProperty'}, 'sourceRegion': {'label': 'code on List of Honour', 'description': 'No description available DataTypeProperty'}, 'usingCountry': {'label': 'project type', 'description': 'The type of the research project. Mostly used for the funding schemes of the European Union, for instance: Specific Targeted Research Projects (STREP), Network of Excellence (NoE) or Integrated Project. DataTypeProperty'}, 'winsAtProTournaments': {'label': 'jutsu', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Bakso', 'country', 'Indonesia'], ['Indonesia', 'largestCity', 'Jakarta'], ['Bakso', 'country', 'Chinese_cuisine']]Text: Bakso is popular in the Indonesian region and also in the neighbouring Southeast Asian countries. bot:[('Bakso', 'region', 'Nationwide_in_Indonesia,_also_popular_in_neighboring_Southeast_Asian_countries'), ('Bakso', 'type', 'Food')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'Airport': {'label': 'airport', 'comment': '-'}, 'Airline': {'label': 'airline', 'comment': '-'}, 'RouteOfTransportation': {'label': 'route of transportation', 'comment': 'A route of transportation (thoroughfare) may refer to a public road, highway, path or trail or a route on water from one place to another for use by a variety of general traffic (http://en.wikipedia.org/wiki/Thoroughfare).'}, 'PublicTransitSystem': {'label': 'public transit system', 'comment': "A public transit system is a shared passenger transportation service which is available for use by the general public. Public transport modes include buses, trolleybuses, trams and trains, 'rapid transit' (metro/subways/undergrounds etc) and ferries. Intercity public transport is dominated by airlines, coaches, and intercity rail. (http://en.wikipedia.org/wiki/Public_transit)."}, 'BusCompany': {'label': 'bus company', 'comment': '-'}, 'Arrondissement': {'label': 'arrondissement', 'comment': 'An administrative (France) or lawcourts (Netherlands) body governing a territorial unity on the intermediate level, between local and national level'}, 'DistrictWaterBoard': {'label': 'district water board', 'comment': 'Conservancy, governmental agency dedicated to surface water management'}, 'CityDistrict': {'label': 'city district', 'comment': 'District, borough, area or neighbourhood in a city or town'}, 'NordicCombined': {'label': 'Nordic Combined', 'comment': '-'}, 'Aircraft': {'label': 'aircraft', 'comment': '-'}} Available Properties: {'GrandPrix/distance': {'label': 'length of runway (μ)', 'description': 'No description available DataTypeProperty'}, 'Infrastructure/length': {'label': 'designation of runway', 'description': 'No description available DataTypeProperty'}, 'SpaceShuttle/distance': {'label': 'number of vineyards', 'description': 'No description available DataTypeProperty'}, '_distance': {'label': 'length of runway (μ)', 'description': 'No description available DataTypeProperty'}, 'aircraftInterceptor': {'label': 'EKATTE code', 'description': 'Indexing code used by the Bulgarian National Statistical Institute to identify populated places DataTypeProperty'}, 'airportUsing': {'label': 'Different usage of an airport', 'description': 'No description available DataTypeProperty'}, 'altitude': {'label': 'legislative period name', 'description': 'The term of the on-going session (e.g.: "40th Canadian Parliament"). DataTypeProperty'}, 'hubAirport': {'label': 'free', 'description': 'No description available DataTypeProperty'}, 'landingVehicle': {'label': 'mass (kg)', 'description': 'No description available DataTypeProperty'}, 'lieutenancyArea': {'label': 'average speed (km/s)', 'description': 'The average speed of a thing. DataTypeProperty'}, 'longDistancePisteKilometre': {'label': 'long distance piste kilometre (μ)', 'description': 'No description available DataTypeProperty'}, 'officerInCharge': {'label': 'assets ($)', 'description': 'Assets and liabilities are part of a companis balance sheet. In financial accounting, assets are economic resources. Anything tangible or intangible that is capable of being owned or controlled to produce value and that is held to have positive economic value is considered an asset. DataTypeProperty'}, 'operator': {'label': 'maximum inclination', 'description': 'No description available DataTypeProperty'}, 'parentheses': {'label': 'dec', 'description': 'No description available DataTypeProperty'}, 'resolution': {'label': 'number of vineyards', 'description': 'No description available DataTypeProperty'}, 'routeActivity': {'label': 'apprehended', 'description': 'No description available DataTypeProperty'}, 'routeEnd': {'label': 'licence letter of a german settlement', 'description': 'No description available DataTypeProperty'}, 'routeEndLocation': {'label': 'impact factor as of', 'description': 'Census year of the imapct factor. DataTypeProperty'}, 'routeJunction': {'label': 'licence number label', 'description': 'No description available DataTypeProperty'}, 'runwayDesignation': {'label': 'designation of runway', 'description': 'No description available DataTypeProperty'}, 'runwayLength': {'label': 'length of runway (μ)', 'description': 'No description available DataTypeProperty'}, 'runwaySurface': {'label': 'surface of runway', 'description': 'No description available DataTypeProperty'}, 'runwayWidth': {'label': 'width of runway (μ)', 'description': 'No description available DataTypeProperty'}, 'shuttle': {'label': 'amateur no contest', 'description': 'No description available DataTypeProperty'}, 'targetAirport': {'label': 'mill code BE', 'description': 'mills code from the Belgian database on mills DataTypeProperty'}} Subgraph:[['Aarhus', 'namedAfter', 'Aarhus_River'], ['Aarhus', 'country', 'Denmark'], ['Aarhus_Airport', 'city', 'Denmark'], ['Aarhus_Airport', 'city', 'Aarhus']]Text: Aarhus Lufthavn A/S is the operation organisation of Aarhus Airport which has a runway with the length of 2776.0 metres. bot:[('A', 'a', 'r'), ('Aarhus_Airport', 'operator', 'Aarhus_Lufthavn_A/S'), ('Aarhus_Airport', 'runwayLength', '2776.0'), ('Aarhus_Airport', 'type', 'ArchitecturalStructure')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'MusicDirector': {'label': 'music director', 'comment': 'A person who is the director of an orchestra or concert band.'}, 'Instrumentalist': {'label': 'instrumentalist', 'comment': '-'}, 'ClassicalMusicArtist': {'label': 'classical music artist', 'comment': '-'}, 'MusicComposer': {'label': 'music composer', 'comment': 'a person who creates music.'}, 'RadioHost': {'label': 'radio host', 'comment': '-'}} Available Properties: {'activeYearsStartYear': {'label': 'active years start year', 'description': 'No description available DataTypeProperty'}, 'associateStar': {'label': 'project budget funding ($)', 'description': 'The part of the project budget that is funded by the Organistaions given in the "FundedBy" property. DataTypeProperty'}, 'associatedBand': {'label': 'human development index rank', 'description': 'No description available DataTypeProperty'}, 'associatedMusicalArtist': {'label': 'iafd id', 'description': 'No description available DataTypeProperty'}, 'birthName': {'label': 'birth name', 'description': 'full name of a person at birth, if different from their current, generally used name DataTypeProperty'}, 'birthPlace': {'label': 'Bioavailability', 'description': '"The rate and extent to which the active ingredient or active moiety is absorbed from a drug product and becomes available at the site of action. For drug products that are not intended to be absorbed into the bloodstream, bioavailability may be assessed by measurements intended to reflect the rate and extent to which the active ingredient or active moiety becomes available at the site of action (21CFR320.1)." DataTypeProperty'}, 'domain': {'label': 'DosesSecond', 'description': 'Number of second vaccine doses. DataTypeProperty'}, 'formerBandMember': {'label': 'last flight start date', 'description': 'No description available DataTypeProperty'}, 'formerChoreographer': {'label': 'end date', 'description': 'The end date of the event. DataTypeProperty'}, 'formerName': {'label': 'former name', 'description': 'No description available DataTypeProperty'}, 'genre': {'label': 'locality of a switzerland settlement', 'description': 'No description available DataTypeProperty'}, 'literaryGenre': {'label': 'lunar surface time (s)', 'description': 'No description available DataTypeProperty'}, 'location': {'label': 'currency code', 'description': 'ISO 4217 currency designators. DataTypeProperty'}, 'locationCity': {'label': 'date of latest election', 'description': 'No description available DataTypeProperty'}, 'musicBrainzArtistId': {'label': 'MusicBrainz artist id', 'description': 'MusicBrainz artist. Applies to artists DataTypeProperty'}, 'musicComposer': {'label': 'national team match point', 'description': 'No description available DataTypeProperty'}, 'musicFusionGenre': {'label': 'free danse score', 'description': 'No description available DataTypeProperty'}, 'musicType': {'label': 'main islands', 'description': 'No description available DataTypeProperty'}, 'nationality': {'label': 'national tournament bronze', 'description': 'No description available DataTypeProperty'}, 'predecessor': {'label': 'original maximum boat beam (μ)', 'description': 'No description available DataTypeProperty'}, 'previousName': {'label': 'previous name', 'description': 'No description available DataTypeProperty'}, 'wineYear': {'label': 'wine year', 'description': 'No description available DataTypeProperty'}} Subgraph:[array(['Trance_music', 'stylisticOrigin', 'House_music'], dtype=object) array(['Trance_music', 'stylisticOrigin', 'New-age_music'], dtype=object) array(['Trance_music', 'stylisticOrigin', 'Film_score'], dtype=object) array(['Trance_music', 'stylisticOrigin', 'Hardcore_(electronic_dance_music_genre)'], dtype=object) array(['Trance_music', 'musicSubgenre', 'Progressive_trance'], dtype=object) array(['Trance_music', 'musicSubgenre', 'Vocal_trance'], dtype=object) array(['Trance_music', 'musicSubgenre', 'Hard_trance'], dtype=object) array(['Andrew_Rayel', 'birthPlace', 'Călărași,_Moldova'], dtype=object) array(['Trance_music', 'musicSubgenre', 'Acid_trance'], dtype=object) array(['Trance_music', 'musicSubgenre', 'Balearic_trance'], dtype=object) array(['Trance_music', 'stylisticOrigin', 'Ambient_music'], dtype=object) array(['Trance_music', 'stylisticOrigin', 'Chill-out_music'], dtype=object) array(['Trance_music', 'musicSubgenre', 'Psychedelic_trance'], dtype=object) array(['Trance_music', 'musicSubgenre', 'Goa_trance'], dtype=object) array(['Trance_music', 'stylisticOrigin', 'Psychedelic_music'], dtype=object) array(['Trance_music', 'stylisticOrigin', 'Detroit_techno'], dtype=object) array(['Moldova', 'largestCity', 'Capital_city'], dtype=object) array(['Trance_music', 'stylisticOrigin', 'Techno'], dtype=object) array(['Andrew_Rayel', 'hometown', 'Moldova'], dtype=object) array(['Trance_music', 'stylisticOrigin', 'Classical_music'], dtype=object) array(['Trance_music', 'stylisticOrigin', 'Acid_house'], dtype=object) array(['Trance_music', 'musicSubgenre', 'Uplifting_trance'], dtype=object) array(['Trance_music', 'stylisticOrigin', 'Pop_music'], dtype=object) array(['Trance_music', 'stylisticOrigin', 'Electronic_body_music'], dtype=object) array(['Trance_music', 'musicSubgenre', 'Tech_trance'], dtype=object)]Text: Andrew Rayel was born in chisinau, Moldova abd began his trance music career in 2009. He is associated with Jwaydan Moyine and Armin van Buuren. bot:[('Andrew_Rayel', 'activeYearsStartYear', '2009'), ('Andrew_Rayel', 'associatedMusicalArtist', 'Jwaydan_Moyine'), ('Andrew_Rayel', 'associatedMusicalArtist', 'Armin_van_Buuren'), ('Andrew_Rayel', 'birthPlace', 'Chi%C8%99in%C4%83u'), ('Andrew_Rayel', 'genre', 'Trance_music'), ('Andrew_Rayel', 'type', 'Eukaryote')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'CollegeCoach': {'label': 'college coach', 'comment': '-'}, 'University': {'label': 'university', 'comment': '-'}, 'AmericanFootballCoach': {'label': 'american football coach', 'comment': '-'}, 'Diploma': {'label': 'diploma', 'comment': '-'}, 'AthleticsPlayer': {'label': 'athletics player', 'comment': '-'}, 'AmericanFootballPlayer': {'label': 'american football player', 'comment': '-'}, 'Academic': {'label': 'Academic Person', 'comment': '-'}, 'College': {'label': 'college', 'comment': '-'}, 'NationalCollegiateAthleticAssociationAthlete': {'label': 'national collegiate athletic association athlete', 'comment': '-'}, 'CanadianFootballPlayer': {'label': 'canadian football Player', 'comment': '-'}} Available Properties: {'almaMater': {'label': 'end career', 'description': 'No description available DataTypeProperty'}, 'alumni': {'label': 'Number of revision per year', 'description': 'used for DBpedia History > Subject must be a blank node containing a dc:date and a rdfs:value DataTypeProperty'}, 'careerPoints': {'label': 'career points', 'description': 'No description available DataTypeProperty'}, 'coemperor': {'label': 'bowl record', 'description': 'No description available DataTypeProperty'}, 'daira': {'label': 'id', 'description': 'No description available DataTypeProperty'}, 'diploma': {'label': 'plays', 'description': 'No description available DataTypeProperty'}, 'formerBandMember': {'label': 'last flight start date', 'description': 'No description available DataTypeProperty'}, 'formerCoach': {'label': 'number of trails', 'description': 'Number of trails in ski area. DataTypeProperty'}, 'formerHighschool': {'label': 'relics', 'description': 'Physical remains or personal effects of a saint or venerated person, preserved in a religious building DataTypeProperty'}, 'formerTeam': {'label': 'mill dissapeared code NL', 'description': 'No description available DataTypeProperty'}, 'managerYears': {'label': 'manager years', 'description': 'No description available DataTypeProperty'}, 'managerYearsStartYear': {'label': 'manager years start year', 'description': 'No description available DataTypeProperty'}, 'mbaId': {'label': 'MBA Id', 'description': 'MusicBrainz is an open music encyclopedia that collects music metadata and makes it available to the public. DataTypeProperty'}, 'notableStudent': {'label': 'Allocine ID', 'description': 'ID of a film on Allocine DataTypeProperty'}, 'numberOfGraduateStudents': {'label': 'number of graduate students', 'description': 'No description available DataTypeProperty'}, 'numberOfPersonFromUniversity': {'label': 'number of entities of Person class who graduated from the university', 'description': 'No description available DataTypeProperty'}, 'principalEngineer': {'label': 'casualties', 'description': 'Number of casualties of a MilitaryConflict or natural disaster such as an Earthquake DataTypeProperty'}, 'schoolNumber': {'label': 'school number', 'description': 'No description available DataTypeProperty'}, 'selectionYear': {'label': 'selection year', 'description': 'No description available DataTypeProperty'}, 'senior': {'label': 'number of trails', 'description': 'Number of trails in ski area. DataTypeProperty'}, 'undraftedYear': {'label': 'undrafted year', 'description': 'No description available DataTypeProperty'}, 'university': {'label': 'number of vehicles', 'description': 'Number of vehicles used in the transit system. DataTypeProperty'}} Subgraph:[['NASA_Distinguished_Service_Medal', 'presenter', 'National_Aeronautics_and_Space_Administration'], ['Alan_Bean', 'award', 'NASA_Distinguished_Service_Medal'], ['Alan_Bean', 'occupation', 'Test_pilot'], ['Alan_Bean', 'occupation', 'Astronaut'], ['Alan_Bean', 'occupation', 'Naval_aviator'], ['Alan_Bean', 'almaMater', 'University_of_Texas_at_Austin']]Text: Alan Bean graduated from UT Austin in 1955 with a B.S. bot:[('Alan_Bean', 'almaMater', 'UT_Austin,_B.S._1955'), ('Alan_Bean', 'type', 'Eukaryote')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'Instrumentalist': {'label': 'instrumentalist', 'comment': '-'}, 'SongWriter': {'label': 'songwriter', 'comment': 'a person who writes songs.'}, 'Band': {'label': 'Band', 'comment': '-'}, 'GreenAlga': {'label': 'green alga', 'comment': '-'}, 'MusicalArtist': {'label': 'musical artist', 'comment': '-'}, 'MusicDirector': {'label': 'music director', 'comment': 'A person who is the director of an orchestra or concert band.'}, 'Amphibian': {'label': 'amphibian', 'comment': '-'}, 'Album': {'label': 'album', 'comment': '-'}, 'Wrestler': {'label': 'wrestler', 'comment': '-'}, 'Singer': {'label': 'Singer', 'comment': 'a person who sings.'}} Available Properties: {'associatedBand': {'label': 'human development index rank', 'description': 'No description available DataTypeProperty'}, 'associatedMusicalArtist': {'label': 'iafd id', 'description': 'No description available DataTypeProperty'}, 'bandMember': {'label': 'ensemble', 'description': 'No description available DataTypeProperty'}, 'birthDate': {'label': 'birth date', 'description': 'No description available DataTypeProperty'}, 'birthName': {'label': 'birth name', 'description': 'full name of a person at birth, if different from their current, generally used name DataTypeProperty'}, 'birthPlace': {'label': 'Bioavailability', 'description': '"The rate and extent to which the active ingredient or active moiety is absorbed from a drug product and becomes available at the site of action. For drug products that are not intended to be absorbed into the bloodstream, bioavailability may be assessed by measurements intended to reflect the rate and extent to which the active ingredient or active moiety becomes available at the site of action (21CFR320.1)." DataTypeProperty'}, 'birthYear': {'label': 'birth year', 'description': 'No description available DataTypeProperty'}, 'ethnicGroup': {'label': 'election date leader', 'description': 'The date that leader was elected. DataTypeProperty'}, 'ethnicity': {'label': 'school number', 'description': 'No description available DataTypeProperty'}, 'formerBandMember': {'label': 'last flight start date', 'description': 'No description available DataTypeProperty'}, 'formerChannel': {'label': 'former channel', 'description': 'No description available DataTypeProperty'}, 'foundingDate': {'label': 'founding date', 'description': 'No description available DataTypeProperty'}, 'khlDraft': {'label': 'khl draft year', 'description': 'No description available DataTypeProperty'}, 'khlDraftYear': {'label': 'khl draft year', 'description': 'No description available DataTypeProperty'}, 'location': {'label': 'currency code', 'description': 'ISO 4217 currency designators. DataTypeProperty'}, 'locationCity': {'label': 'date of latest election', 'description': 'No description available DataTypeProperty'}, 'musicBand': {'label': 'height (cm)', 'description': 'No description available DataTypeProperty'}, 'musicalArtist': {'label': 'weight (kg)', 'description': 'No description available DataTypeProperty'}, 'musicalBand': {'label': 'apoapsis (km)', 'description': 'No description available DataTypeProperty'}, 'nationality': {'label': 'national tournament bronze', 'description': 'No description available DataTypeProperty'}, 'ngcName': {'label': 'NGC name', 'description': 'Name for NGC objects DataTypeProperty'}, 'openingFilm': {'label': 'ncbhof', 'description': 'No description available DataTypeProperty'}, 'undraftedYear': {'label': 'undrafted year', 'description': 'No description available DataTypeProperty'}} Subgraph:[['New_York_City', 'country', 'United_States'], ['NRBQ', 'bandMember', 'Terry_Adams_(musician)'], ['NRBQ', 'hometown', 'Louisville,_Kentucky'], ['United_States', 'largestCity', 'New_York_City']]Text: Al Anderson, member of the band NRBQ, was born in the United States. bot:[('Al_Anderson_(NRBQ_band)', 'birthPlace', 'United_States'), ('Al_Anderson_(NRBQ_band)', 'type', 'Hyphen-minus')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'Airport': {'label': 'airport', 'comment': '-'}, 'PublicTransitSystem': {'label': 'public transit system', 'comment': "A public transit system is a shared passenger transportation service which is available for use by the general public. Public transport modes include buses, trolleybuses, trams and trains, 'rapid transit' (metro/subways/undergrounds etc) and ferries. Intercity public transport is dominated by airlines, coaches, and intercity rail. (http://en.wikipedia.org/wiki/Public_transit)."}, 'AustralianFootballLeague': {'label': 'australian football league', 'comment': 'A group of sports teams that compete against each other in australian football.'}, 'Airline': {'label': 'airline', 'comment': '-'}, 'GolfCourse': {'label': 'golf course', 'comment': 'In a golf course, holes often carry hazards, defined as special areas to which additional rules of the game apply.'}} Available Properties: {'administrativeHeadCity': {'label': 'ICAO code', 'description': 'ICAO designation for airline companies DataTypeProperty'}, 'airportUsing': {'label': 'Different usage of an airport', 'description': 'No description available DataTypeProperty'}, 'altitude': {'label': 'legislative period name', 'description': 'The term of the on-going session (e.g.: "40th Canadian Parliament"). DataTypeProperty'}, 'city': {'label': 'illiteracy', 'description': 'No description available DataTypeProperty'}, 'designer': {'label': 'information name', 'description': 'No description available DataTypeProperty'}, 'elevation': {'label': 'elevation (μ)', 'description': 'average elevation above the sea level DataTypeProperty'}, 'highestAltitude': {'label': 'height (mm)', 'description': 'No description available DataTypeProperty'}, 'hubAirport': {'label': 'free', 'description': 'No description available DataTypeProperty'}, 'lastFlight': {'label': 'apoapsis (km)', 'description': 'No description available DataTypeProperty'}, 'location': {'label': 'currency code', 'description': 'ISO 4217 currency designators. DataTypeProperty'}, 'locationCity': {'label': 'date of latest election', 'description': 'No description available DataTypeProperty'}, 'lowestAltitude': {'label': 'area metro (km2)', 'description': 'No description available DataTypeProperty'}, 'movement': {'label': 'reservations', 'description': 'Are reservations required for the establishment or event? DataTypeProperty'}, 'resolution': {'label': 'number of vineyards', 'description': 'No description available DataTypeProperty'}, 'routeEnd': {'label': 'licence letter of a german settlement', 'description': 'No description available DataTypeProperty'}, 'routeEndLocation': {'label': 'impact factor as of', 'description': 'Census year of the imapct factor. DataTypeProperty'}, 'runwayDesignation': {'label': 'designation of runway', 'description': 'No description available DataTypeProperty'}, 'runwayLength': {'label': 'length of runway (μ)', 'description': 'No description available DataTypeProperty'}, 'runwaySurface': {'label': 'surface of runway', 'description': 'No description available DataTypeProperty'}, 'runwayWidth': {'label': 'width of runway (μ)', 'description': 'No description available DataTypeProperty'}, 'significantDesign': {'label': 'Astrazenca', 'description': 'AstraZeneca plc is a British-Swedish multinational pharmaceutical and biotechnology company with its headquarters at the Cambridge Biomedical Campus in Cambridge, England. DataTypeProperty'}, 'targetAirport': {'label': 'mill code BE', 'description': 'mills code from the Belgian database on mills DataTypeProperty'}} Subgraph:[array(['Texas', 'largestCity', 'Houston'], dtype=object)]Text: Andrews County Airport, which lies 973 metres above sea level, serves Andrews in Texas. The runway length is 8.0 and its name is 11/29. bot:[('Andrews_County_Airport', 'city', 'Andrews,_Texas'), ('Andrews_County_Airport', 'elevation', '973.0'), ('Andrews_County_Airport', 'location', 'Texas'), ('Andrews_County_Airport', 'runwayDesignation', 'November_29'), ('Andrews_County_Airport', 'runwayLength', '8.0')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'Singer': {'label': 'Singer', 'comment': 'a person who sings.'}, 'Album': {'label': 'album', 'comment': '-'}, 'Song': {'label': 'song', 'comment': '-'}, 'SongWriter': {'label': 'songwriter', 'comment': 'a person who writes songs.'}, 'MusicFestival': {'label': 'music festival', 'comment': '-'}} Available Properties: {'abbeychurchBlessing': {'label': 'abbey church blessing', 'description': 'No description available DataTypeProperty'}, 'capitalDistrict': {'label': 'UniProt', 'description': 'No description available DataTypeProperty'}, 'coronationDate': {'label': 'coronation date', 'description': 'No description available DataTypeProperty'}, 'district': {'label': 'hip size (μ)', 'description': 'No description available DataTypeProperty'}, 'firstPublisher': {'label': 'population density rural (/sqkm)', 'description': 'No description available DataTypeProperty'}, 'hometown': {'label': 'model end date', 'description': 'No description available DataTypeProperty'}, 'magazine': {'label': 'mukthar of a lebanon settlement', 'description': 'No description available DataTypeProperty'}, 'musicBrainzArtistId': {'label': 'MusicBrainz artist id', 'description': 'MusicBrainz artist. Applies to artists DataTypeProperty'}, 'otherFunction': {'label': 'debut', 'description': 'No description available DataTypeProperty'}, 'premiereYear': {'label': 'premiere year', 'description': 'Year the play was first performed. DataTypeProperty'}, 'publicationDate': {'label': 'publication date', 'description': 'date or point in time when a work was first published or released DataTypeProperty'}, 'publisher': {'label': 'lethal when given to rats', 'description': 'No description available DataTypeProperty'}, 'sourceDistrict': {'label': 'coast line (μ)', 'description': 'No description available DataTypeProperty'}, 'youthClub': {'label': 'flag caption', 'description': 'No description available DataTypeProperty'}} Subgraph:[['The_Kelly_Family', 'recordLabel', 'Bertelsmann_Music_Group'], ['Maite_Kelly', 'birthPlace', 'West_Berlin'], ['The_Kelly_Family', 'recordLabel', 'Universal_Music'], ['West_Germany', 'largestCity', 'Hamburg'], ['The_Kelly_Family', 'recordLabel', 'Ariola'], ['Ariola', 'distributingLabel', 'Sony_BMG'], ['Maite_Kelly', 'birthPlace', 'West_Germany'], ['Maite_Kelly', 'birthPlace', 'Germany'], ['Kathy_Sledge', 'birthPlace', 'Philadelphia'], ['The_Kelly_Family', 'bandMember', 'Joey_Kelly'], ['The_Kelly_Family', 'bandMember', 'Jimmy_Kelly_(singer)'], ['The_Kelly_Family', 'bandMember', 'Kathy_Kelly_(musician)'], ['Ariola', 'distributingLabel', 'Bertelsmann_Music_Group'], ['The_Kelly_Family', 'recordLabel', 'Polydor'], ['Ariola', 'distributingLabel', 'Legacy_Recordings'], ['The_Kelly_Family', 'bandMember', 'Patricia_Kelly'], ['The_Kelly_Family', 'recordLabel', 'EMI']]Text: When the Boys Come into Town was produced by Kathy and Paddy Kelly for their ninth studio album Almost Heaven (1996) and features lead vocals by John, Kathy and Maite Kelly. bot:[('When_the_Boys_Come_into_Town', 'publicationDate', '00__1996')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'MusicGenre': {'label': 'music genre', 'comment': '-'}, 'MusicalArtist': {'label': 'musical artist', 'comment': '-'}, 'Instrumentalist': {'label': 'instrumentalist', 'comment': '-'}, 'MusicComposer': {'label': 'music composer', 'comment': 'a person who creates music.'}, 'SongWriter': {'label': 'songwriter', 'comment': 'a person who writes songs.'}} Available Properties: {'administrativeCenter': {'label': 'musicFormat', 'description': 'The format of the album: EP, Single etc. DataTypeProperty'}, 'artistFunction': {'label': 'artist function', 'description': 'Artist function: vocal, group, instrumentalist, compositor... DataTypeProperty'}, 'associatedMusicalArtist': {'label': 'iafd id', 'description': 'No description available DataTypeProperty'}, 'beatifiedDate': {'label': 'beatified date', 'description': 'No description available DataTypeProperty'}, 'chorusCharacterInPlay': {'label': 'chorus character in play', 'description': 'The name of the (Greek) chorus character in play. DataTypeProperty'}, 'derivative': {'label': 'foundation', 'description': 'No description available DataTypeProperty'}, 'genre': {'label': 'locality of a switzerland settlement', 'description': 'No description available DataTypeProperty'}, 'linguisticsTradition': {'label': 'danse competition', 'description': 'No description available DataTypeProperty'}, 'literaryGenre': {'label': 'lunar surface time (s)', 'description': 'No description available DataTypeProperty'}, 'musicBrainzArtistId': {'label': 'MusicBrainz artist id', 'description': 'MusicBrainz artist. Applies to artists DataTypeProperty'}, 'musicComposer': {'label': 'national team match point', 'description': 'No description available DataTypeProperty'}, 'musicFusionGenre': {'label': 'free danse score', 'description': 'No description available DataTypeProperty'}, 'musicType': {'label': 'main islands', 'description': 'No description available DataTypeProperty'}, 'musicalArtist': {'label': 'weight (kg)', 'description': 'No description available DataTypeProperty'}, 'otherFunction': {'label': 'debut', 'description': 'No description available DataTypeProperty'}, 'relatedFunctions': {'label': 'cost ($)', 'description': 'Cost of building an ArchitecturalStructure, Ship, etc DataTypeProperty'}, 'stylisticOrigin': {'label': 'free prog score', 'description': 'No description available DataTypeProperty'}} Subgraph:[array(['Pop_music', 'musicFusionGenre', 'Space_age_pop'], dtype=object) array(['Electroclash', 'stylisticOrigin', 'Electropop'], dtype=object) array(['Pop_music', 'musicFusionGenre', 'Pop_rock'], dtype=object) array(['Folk_music', 'musicFusionGenre', 'Folk_rock'], dtype=object) array(['Pop_music', 'musicSubgenre', 'Teen_pop'], dtype=object) array(['Alex_Day', 'associatedMusicalArtist', 'Chameleon_Circuit_(band)'], dtype=object) array(['Indie_pop', 'musicFusionGenre', 'Indietronica'], dtype=object) array(['Alex_Day', 'genre', 'Acoustic_music'], dtype=object) array(['Pop_music', 'musicSubgenre', 'Brill_Building_(genre)'], dtype=object) array(['Contemporary_R&B', 'musicFusionGenre', "Raï'n'B"], dtype=object) array(['Pop_music', 'musicSubgenre', 'Synth-pop'], dtype=object) array(['Pop_music', 'musicFusionGenre', 'Ambient_pop'], dtype=object) array(['Pop_music', 'musicFusionGenre', 'Worldbeat'], dtype=object) array(['Folk_music', 'musicFusionGenre', 'Skiffle'], dtype=object) array(['Electroclash', 'stylisticOrigin', 'Italo_disco'], dtype=object) array(['Pop_music', 'musicSubgenre', 'Art_pop'], dtype=object) array(['Synth-pop', 'stylisticOrigin', 'New_wave_music'], dtype=object) array(['Electroclash', 'stylisticOrigin', 'Synth-pop'], dtype=object) array(['Pop_music', 'musicSubgenre', 'Wonky_pop'], dtype=object) array(['Pop_music', 'musicFusionGenre', 'Folk-pop'], dtype=object) array(['Electroclash', 'stylisticOrigin', 'House_music'], dtype=object) array(['Contemporary_R&B', 'musicFusionGenre', 'Grime_(music_genre)'], dtype=object) array(['Pop_music', 'musicFusionGenre', 'Pop_punk'], dtype=object) array(['Synth-pop', 'stylisticOrigin', 'Disco'], dtype=object) array(['Alex_Day', 'genre', 'Folk_music'], dtype=object) array(['Alex_Day', 'genre', 'Electronic_music'], dtype=object) array(['Pop_music', 'musicFusionGenre', 'Indie_pop'], dtype=object) array(['Electroclash', 'stylisticOrigin', 'Techno'], dtype=object) array(['Pop_music', 'musicFusionGenre', 'Power_pop'], dtype=object) array(['Folk_music', 'musicFusionGenre', 'Folk_metal'], dtype=object) array(['Pop_music', 'musicSubgenre', 'Dance-pop'], dtype=object) array(['Electroclash', 'stylisticOrigin', 'Electro_(music)'], dtype=object) array(['Pop_music', 'musicFusionGenre', 'Psychedelic_pop'], dtype=object) array(['Pop_music', 'musicFusionGenre', 'Emo_pop'], dtype=object) array(['Contemporary_R&B', 'musicFusionGenre', 'Pluggnb'], dtype=object) array(['Alex_Day', 'genre', 'Synthpop'], dtype=object) array(['Electroclash', 'stylisticOrigin', 'Alternative_dance'], dtype=object) array(['Pop_music', 'musicSubgenre', 'Sunshine_pop'], dtype=object) array(['Pop_music', 'musicFusionGenre', 'Cowboy_pop'], dtype=object) array(['Power_pop', 'musicFusionGenre', 'Pop-punk'], dtype=object) array(['Pop_music', 'musicFusionGenre', 'Baroque_pop'], dtype=object) array(['Pop_music', 'musicSubgenre', 'Sophisti-pop'], dtype=object) array(['Pop_music', 'musicFusionGenre', 'Electropop'], dtype=object) array(['Pop_music', 'musicFusionGenre', 'Country_pop'], dtype=object) array(['Electroclash', 'stylisticOrigin', 'New_wave_music'], dtype=object) array(['Pop_music', 'musicSubgenre', 'Sad_pop'], dtype=object) array(['Pop_music', 'musicSubgenre', 'Operatic_pop'], dtype=object) array(['Pop_music', 'musicSubgenre', 'Orchestral_pop'], dtype=object) array(['Synth-pop', 'stylisticOrigin', 'Art_pop'], dtype=object) array(['Pop_music', 'musicFusionGenre', 'Dancehall_pop'], dtype=object) array(['Alex_Day', 'associatedMusicalArtist', 'Sons_of_Admirals'], dtype=object) array(['Contemporary_R&B', 'musicFusionGenre', 'Latin_R&B'], dtype=object) array(['Folk_music', 'musicFusionGenre', 'Anti-folk'], dtype=object) array(['Pop_music', 'musicFusionGenre', 'Hypnagogic_pop'], dtype=object) array(['Contemporary_R&B', 'musicFusionGenre', 'New_jack_swing'], dtype=object) array(['Pop_music', 'musicSubgenre', 'Schlager_music'], dtype=object) array(['Contemporary_R&B', 'musicFusionGenre', 'Snap_music'], dtype=object) array(['Electroclash', 'stylisticOrigin', 'Post-punk'], dtype=object) array(['Pop_music', 'musicSubgenre', 'Bubblegum_music'], dtype=object) array(['Contemporary_R&B', 'musicFusionGenre', 'Crunk&B'], dtype=object) array(['Synth-pop', 'musicFusionGenre', 'Electroclash'], dtype=object) array(['Pop_music', 'musicFusionGenre', 'Pop_rap'], dtype=object) array(['Folk_music', 'musicFusionGenre', 'Neofolk'], dtype=object) array(['Pop_music', 'musicFusionGenre', 'Contemporary_R&B'], dtype=object)]Text: Alex Day is a performer of synthpop, which gets its stylistic origins from pop music. Synthpop is derived from new wave music and house music. bot:[('Synth-pop', 'derivative', 'House_music'), ('Alex_Day', 'genre', 'Synth-pop'), ('A', 'l', 'e'), ('Synth-pop', 'stylisticOrigin', 'Pop_music'), ('Synth-pop', 'stylisticOrigin', 'New_wave_music'), ('Alex_Day', 'type', 'Eukaryote')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'AmateurBoxer': {'label': 'amateur boxer', 'comment': '-'}, 'BoxingLeague': {'label': 'boxing league', 'comment': 'A group of sports teams or fighters that compete against each other in Boxing'}, 'Boxer': {'label': 'boxer', 'comment': '-'}, 'BasketballPlayer': {'label': 'basketball player', 'comment': '-'}, 'Cricketer': {'label': 'cricketer', 'comment': '-'}, 'BasketballLeague': {'label': 'basketball league', 'comment': 'a group of sports teams that compete against each other in Basketball'}, 'ArcherPlayer': {'label': 'Archer Player', 'comment': '-'}, 'BaseballPlayer': {'label': 'baseball player', 'comment': '-'}, 'CricketLeague': {'label': 'cricket league', 'comment': 'a group of sports teams that compete against each other in Cricket'}, 'SnookerPlayer': {'label': 'snooker player', 'comment': 'An athlete that plays snooker, which is a billard derivate'}} Available Properties: {'championInDouble': {'label': 'nmberOfResourceWithType', 'description': 'number of resource in DBpedia with Class type (= Class entity) DataTypeProperty'}, 'debutTeam': {'label': 'flash point', 'description': 'lowest temperature at which a substance can vaporize and start burning DataTypeProperty'}, 'draftPick': {'label': 'draft pick', 'description': 'No description available DataTypeProperty'}, 'draftPosition': {'label': 'draft position', 'description': 'No description available DataTypeProperty'}, 'draftRound': {'label': 'draft round', 'description': 'No description available DataTypeProperty'}, 'draftTeam': {'label': 'gene location end', 'description': 'the end of the gene DataTypeProperty'}, 'draftYear': {'label': 'draft year', 'description': 'No description available DataTypeProperty'}, 'formerCoach': {'label': 'number of trails', 'description': 'Number of trails in ski area. DataTypeProperty'}, 'formerTeam': {'label': 'mill dissapeared code NL', 'description': 'No description available DataTypeProperty'}, 'khlDraft': {'label': 'khl draft year', 'description': 'No description available DataTypeProperty'}, 'khlDraftTeam': {'label': 'diameter (μ)', 'description': 'No description available DataTypeProperty'}, 'khlDraftYear': {'label': 'khl draft year', 'description': 'No description available DataTypeProperty'}, 'lchfDraftTeam': {'label': 'mean radius (km)', 'description': 'No description available DataTypeProperty'}, 'playerInTeam': {'label': 'capacity', 'description': 'Number of people who can be served by a Train or other service; or participate in a SoccerClub, CricketTeam, etc DataTypeProperty'}, 'prospectTeam': {'label': 'police name', 'description': 'The police detachment serving a UK place, eg Wakefield -> "West Yorkshire Police" DataTypeProperty'}, 'supplementalDraftRound': {'label': 'supplemental draft round', 'description': 'No description available DataTypeProperty'}, 'undraftedYear': {'label': 'undrafted year', 'description': 'No description available DataTypeProperty'}, 'whaDraft': {'label': 'wha draft', 'description': 'No description available DataTypeProperty'}, 'whaDraftTeam': {'label': 'monument code for the Monuments Inventory Project', 'description': 'The Dutch MIP project was meant to take stock of all kinds of monuments DataTypeProperty'}, 'whaDraftYear': {'label': 'wha draft year', 'description': 'No description available DataTypeProperty'}} Subgraph:nanText: Akeem Ayers was in draft round 2. bot:[('Akeem_Ayers', 'draftRound', '2'), ('Akeem_Ayers', 'type', 'Eukaryote')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'HistoricBuilding': {'label': 'historic building', 'comment': '-'}, 'HockeyClub': {'label': 'hockey club', 'comment': '-'}, 'SportFacility': {'label': 'sport facility', 'comment': '-'}, 'ReligiousBuilding': {'label': 'religious building', 'comment': '-'}, 'SportsClub': {'label': 'sports club', 'comment': '-'}, 'ControlledDesignationOfOriginWine': {'label': 'Controlled designation of origin wine', 'comment': 'A quality assurance label for wines'}, 'Company': {'label': 'company', 'comment': '-'}, 'OverseasDepartment': {'label': 'overseas department', 'comment': '-'}, 'Synagogue': {'label': 'synagogue', 'comment': 'A synagogue, sometimes spelt synagog, is a Jewish or Samaritan house of prayer.'}, 'Regency': {'label': 'regency', 'comment': '-'}} Available Properties: {'administrativeCenter': {'label': 'musicFormat', 'description': 'The format of the album: EP, Single etc. DataTypeProperty'}, 'affiliation': {'label': 'hra state', 'description': 'No description available DataTypeProperty'}, 'building': {'label': 'BRIN code', 'description': 'The code used by the Dutch Ministry of Education to identify a school (as an organisation) DataTypeProperty'}, 'buildingStartDate': {'label': 'building start date', 'description': 'Building start date of an ArchitecturalStructure, man-made Lake, etc. For older structures this can be just a year or century, for newer structures an exact date is preferred DataTypeProperty'}, 'capitalPlace': {'label': 'election date', 'description': 'No description available DataTypeProperty'}, 'center': {'label': 'norwegian center', 'description': 'No description available DataTypeProperty'}, 'christeningDate': {'label': 'date of christening', 'description': 'No description available DataTypeProperty'}, 'diocese': {'label': 'maiden flight', 'description': 'date of maiden flight DataTypeProperty'}, 'distributingCompany': {'label': 'highest building in year', 'description': 'No description available DataTypeProperty'}, 'establishment': {'label': 'Establishment', 'description': 'No description available DataTypeProperty'}, 'facilityId': {'label': 'facility id', 'description': 'No description available DataTypeProperty'}, 'foundationPlace': {'label': 'Genome DB', 'description': 'the edition of the database used (i.e. hg19) DataTypeProperty'}, 'foundedBy': {'label': 'little pool record', 'description': 'No description available DataTypeProperty'}, 'founder': {'label': 'local phone prefix', 'description': 'No description available DataTypeProperty'}, 'foundingDate': {'label': 'founding date', 'description': 'No description available DataTypeProperty'}, 'foundingYear': {'label': 'founding year', 'description': 'No description available DataTypeProperty'}, 'highestBuildingInYear': {'label': 'highest building in year', 'description': 'No description available DataTypeProperty'}, 'internationalAffiliation': {'label': 'common name', 'description': 'The common name of an entity. Frequently, foaf:name is used for all of the different names of a person; this property just defines the most commonly used name. DataTypeProperty'}, 'livingPlace': {'label': 'temperature (K)', 'description': 'No description available DataTypeProperty'}, 'mainBuilding': {'label': 'main building', 'description': 'No description available DataTypeProperty'}, 'meetingBuilding': {'label': 'height (mm)', 'description': 'No description available DataTypeProperty'}, 'restaurant': {'label': 'active years start year manager', 'description': 'No description available DataTypeProperty'}, 'stateOfOriginYear': {'label': 'state of origin year', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Marriott_International', 'location', 'Bethesda,_Maryland']]Text: Marriott International was founded in Washington, D.C. bot:[('Marriott_International', 'foundationPlace', 'Washington,_D.C.'), ('Marriott_International', 'type', 'Company')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'Song': {'label': 'song', 'comment': '-'}, 'SongWriter': {'label': 'songwriter', 'comment': 'a person who writes songs.'}, 'NationalAnthem': {'label': 'National anthem', 'comment': 'Patriotic musical composition which is the offcial national song.'}, 'MusicalArtist': {'label': 'musical artist', 'comment': '-'}, 'Musical': {'label': 'musical', 'comment': '-'}} Available Properties: {'anthem': {'label': 'gross domestic product (GDP)', 'description': 'The nominal gross domestic product of a country (not per capita). DataTypeProperty'}, 'finalLostSingle': {'label': 'final lost single', 'description': 'No description available DataTypeProperty'}, 'firstPublisher': {'label': 'population density rural (/sqkm)', 'description': 'No description available DataTypeProperty'}, 'lunarModule': {'label': 'lunar module', 'description': 'No description available DataTypeProperty'}, 'lyrics': {'label': 'launch', 'description': 'No description available DataTypeProperty'}, 'magazine': {'label': 'mukthar of a lebanon settlement', 'description': 'No description available DataTypeProperty'}, 'musicBy': {'label': 'national championship', 'description': 'No description available DataTypeProperty'}, 'musicalArtist': {'label': 'weight (kg)', 'description': 'No description available DataTypeProperty'}, 'originalTitle': {'label': 'original title', 'description': 'The original title of the work, most of the time in the original language as well DataTypeProperty'}, 'publicationDate': {'label': 'publication date', 'description': 'date or point in time when a work was first published or released DataTypeProperty'}, 'publisher': {'label': 'lethal when given to rats', 'description': 'No description available DataTypeProperty'}, 'royalAnthem': {'label': 'egafd id', 'description': 'No description available DataTypeProperty'}, 'titleSingle': {'label': 'title single', 'description': 'No description available DataTypeProperty'}, 'wimbledonSingle': {'label': 'wimbledon single', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Sunny_Skylar', 'country', 'United_States'], ['United_States', 'largestCity', 'New_York_City'], ['Marsala', 'region', 'Sicily'], ['Marsala', 'province', 'Province_of_Trapani']]Text: 'And So to Sleep Again' is a popular song, written in 1951 by Joe Marsala and Sunny Skylar. bot:[('And_So_to_Sleep_Again', 'publicationDate', '00__1951')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'Aristocrat': {'label': 'aristocrat', 'comment': '-'}, 'MemberOfParliament': {'label': 'member of parliament', 'comment': '-'}, 'OrganisationMember': {'label': 'Organisation member', 'comment': 'A member of an organisation.'}, 'Archbishop': {'label': 'archbishop', 'comment': '-'}, 'Priest': {'label': 'priest', 'comment': '-'}} Available Properties: {'amsterdamCode': {'label': 'Amsterdam Code', 'description': 'No description available DataTypeProperty'}, 'chairman': {'label': 'id number', 'description': 'No description available DataTypeProperty'}, 'company': {'label': 'inclination', 'description': 'No description available DataTypeProperty'}, 'electionDateLeader': {'label': 'election date leader', 'description': 'The date that leader was elected. DataTypeProperty'}, 'employer': {'label': 'function start date', 'description': 'No description available DataTypeProperty'}, 'leader': {'label': 'number of all MuscialArtist playing the style', 'description': 'No description available DataTypeProperty'}, 'leaderName': {'label': 'original title', 'description': 'The original title of the work, most of the time in the original language as well DataTypeProperty'}, 'leaderParty': {'label': 'election majority', 'description': 'number of votes the office holder attained DataTypeProperty'}, 'majorityLeader': {'label': 'majority leader', 'description': 'number of office holder DataTypeProperty'}, 'mayorCouncillor': {'label': 'mayor councillor', 'description': 'No description available DataTypeProperty'}, 'memberOfParliament': {'label': 'cloth size', 'description': 'No description available DataTypeProperty'}, 'office': {'label': '(political) office', 'description': 'No description available DataTypeProperty'}, 'organisation': {'label': 'number of participating athletes', 'description': 'No description available DataTypeProperty'}, 'organisationMember': {'label': 'area (m2)', 'description': 'The area of the thing in square meters. DataTypeProperty'}, 'politicalLeader': {'label': 'non professional career', 'description': 'No description available DataTypeProperty'}, 'politicalPartyOfLeader': {'label': 'lead year', 'description': 'No description available DataTypeProperty'}} Subgraph:[array(['Agnes_Kant', 'country', 'Netherlands'], dtype=object) array(['Agnes_Kant', 'birthPlace', 'West_Germany'], dtype=object) array(['Khadija_Arib', 'birthPlace', 'Morocco'], dtype=object) array(['West_Germany', 'largestCity', 'Hamburg'], dtype=object) array(['Agnes_Kant', 'birthPlace', 'Hessisch-Oldendorf'], dtype=object) array(['Morocco', 'largestCity', 'Casablanca'], dtype=object)]Text: Khadija Arib is the leader of the House of Representatives in the Netherlands where Agnes Kant worked. bot:[('House_of_Representatives_Netherlands', 'leader', 'Khadija_Arib'), ('Agnes_Kant', 'office', 'House_of_Representatives_Netherlands'), ('Agnes_Kant', 'type', 'Eukaryote')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'MusicGenre': {'label': 'music genre', 'comment': '-'}, 'ArtisticGenre': {'label': 'artistic genre', 'comment': 'Genres of art, e.g. Pointillist, Modernist'}, 'Genre': {'label': 'genre', 'comment': '-'}, 'Musical': {'label': 'musical', 'comment': '-'}, 'MusicalArtist': {'label': 'musical artist', 'comment': '-'}} Available Properties: {'associatedMusicalArtist': {'label': 'iafd id', 'description': 'No description available DataTypeProperty'}, 'colourName': {'label': 'colour name', 'description': 'A colour represented by a string holding its name (e.g.: red or green). DataTypeProperty'}, 'genre': {'label': 'locality of a switzerland settlement', 'description': 'No description available DataTypeProperty'}, 'kindOfRock': {'label': 'kind of rock', 'description': 'No description available DataTypeProperty'}, 'linguisticsTradition': {'label': 'danse competition', 'description': 'No description available DataTypeProperty'}, 'literaryGenre': {'label': 'lunar surface time (s)', 'description': 'No description available DataTypeProperty'}, 'musicComposer': {'label': 'national team match point', 'description': 'No description available DataTypeProperty'}, 'musicFusionGenre': {'label': 'free danse score', 'description': 'No description available DataTypeProperty'}, 'musicSubgenre': {'label': 'Deaths', 'description': 'Permanent, irreversible cessation of all biological functions that sustain a living organism ObjectTypeProperty'}, 'musicType': {'label': 'main islands', 'description': 'No description available DataTypeProperty'}, 'musicalArtist': {'label': 'weight (kg)', 'description': 'No description available DataTypeProperty'}, 'rgbCoordinateBlue': {'label': 'bluecoordinate in the RGB space', 'description': 'No description available DataTypeProperty'}, 'stylisticOrigin': {'label': 'free prog score', 'description': 'No description available DataTypeProperty'}, 'terytCode': {'label': 'band', 'description': 'No description available DataTypeProperty'}, 'winsAtLET': {'label': 'blazon', 'description': 'Coat of arms (heraldic image) or emblem DataTypeProperty'}} Subgraph:[array(['Rock_music', 'musicFusionGenre', 'Folk_rock'], dtype=object) array(['Rock_music', 'musicSubgenre', 'Heartland_rock'], dtype=object) array(['Punk_rock', 'musicFusionGenre', 'Folk_punk'], dtype=object) array(['Punk_rock', 'musicFusionGenre', 'Punk_blues'], dtype=object) array(['Punk_rock', 'musicFusionGenre', 'Deathrock'], dtype=object) array(['Heavy_metal_music', 'musicFusionGenre', 'Sludge_metal'], dtype=object) array(['Rock_music', 'musicSubgenre', 'Occult_rock'], dtype=object) array(['Alternative_rock', 'musicFusionGenre', 'Alternative_metal'], dtype=object) array(['Glam_rock', 'musicFusionGenre', 'Glam_punk'], dtype=object) array(['Folk_rock', 'musicSubgenre', 'Medieval_folk_rock'], dtype=object) array(['Rock_music', 'musicSubgenre', 'Surf_music'], dtype=object) array(['Punk_rock', 'musicFusionGenre', 'Pop_punk'], dtype=object) array(['Alternative_rock', 'musicSubgenre', 'Nu_gaze'], dtype=object) array(['Alternative_rock', 'musicSubgenre', 'Post-rock'], dtype=object) array(['Alternative_rock', 'musicSubgenre', 'Shoegazing'], dtype=object) array(['Heavy_metal_music', 'musicFusionGenre', 'Gothic_metal'], dtype=object) array(['Heavy_metal_music', 'musicFusionGenre', 'Deathcore'], dtype=object) array(['Heavy_metal_music', 'musicFusionGenre', 'Funk_metal'], dtype=object) array(['Roots_rock', 'musicFusionGenre', 'Cowpunk'], dtype=object) array(['Rock_music', 'musicFusionGenre', 'Rap_rock'], dtype=object) array(['Psychedelic_rock', 'musicFusionGenre', 'Zamrock'], dtype=object) array(['Progressive_rock', 'musicFusionGenre', 'Progressive_soul'], dtype=object) array(['Rock_music', 'musicSubgenre', 'Post-punk'], dtype=object) array(['Indie_rock', 'musicFusionGenre', 'Grindie'], dtype=object) array(['Heavy_metal_music', 'musicFusionGenre', 'Rap_metal'], dtype=object) array(['Power_pop', 'musicFusionGenre', 'Pop-punk'], dtype=object) array(['Electronic_rock', 'musicSubgenre', 'Post-rock'], dtype=object) array(['Heavy_metal_music', 'musicFusionGenre', 'Nu_metal'], dtype=object) array(['Progressive_rock', 'musicFusionGenre', 'Progressive_metal'], dtype=object) array(['Roots_rock', 'musicFusionGenre', 'Alternative_country'], dtype=object) array(['Indie_rock', 'musicFusionGenre', 'Alternative_dance'], dtype=object) array(['Heavy_metal_music', 'musicFusionGenre', 'Progressive_metal'], dtype=object) array(['Heavy_metal_music', 'musicFusionGenre', 'Metalcore'], dtype=object) array(['Rock_music', 'musicFusionGenre', 'Industrial_rock'], dtype=object) array(['Rock_music', 'musicSubgenre', 'Beat_music'], dtype=object) array(['Alternative_rock', 'musicSubgenre', 'Gothic_rock'], dtype=object) array(['Heavy_metal_music', 'musicFusionGenre', 'Alternative_metal'], dtype=object) array(['Rock_music', 'musicSubgenre', 'Progressive_rock'], dtype=object) array(['Alternative_rock', 'musicSubgenre', 'Emo'], dtype=object) array(['Post-punk', 'musicFusionGenre', 'Post-hardcore'], dtype=object) array(['Rock_music', 'musicSubgenre', 'Arena_rock'], dtype=object) array(['Rap_rock', 'musicSubgenre', 'Rap_metal'], dtype=object) array(['Indie_rock', 'musicFusionGenre', 'New_rave'], dtype=object) array(['Heavy_metal_music', 'musicFusionGenre', 'Viking_metal'], dtype=object) array(['Rock_music', 'musicFusionGenre', 'Noise_rock'], dtype=object) array(['Folk_rock', 'musicSubgenre', 'Folk_punk'], dtype=object) array(['Alternative_rock', 'musicSubgenre', 'Indie_rock'], dtype=object) array(['Punk_rock', 'musicFusionGenre', 'Psychobilly'], dtype=object) array(['Rock_music', 'musicSubgenre', 'Soft_rock'], dtype=object) array(['Rock_music', 'musicSubgenre', 'Post-rock'], dtype=object) array(['Rock_music', 'musicSubgenre', 'Death_rock'], dtype=object) array(['Rock_music', 'musicFusionGenre', 'Reggae_rock'], dtype=object) array(['Indie_rock', 'musicFusionGenre', 'Alternative_R&B'], dtype=object) array(['Psychedelic_rock', 'musicFusionGenre', 'Psychedelic_soul'], dtype=object) array(['Rock_music', 'musicFusionGenre', 'Dance_rock'], dtype=object) array(['Punk_rock', 'musicFusionGenre', 'Grebo_(music)'], dtype=object) array(['Rock_music', 'musicSubgenre', 'Psychedelic_rock'], dtype=object) array(['Alternative_rock', 'musicSubgenre', 'Grunge'], dtype=object) array(['Heavy_metal_music', 'musicFusionGenre', 'Stoner_rock'], dtype=object) array(['Funk_rock', 'musicSubgenre', 'Funk_metal'], dtype=object) array(['Rock_music', 'musicFusionGenre', 'Funk_rock'], dtype=object) array(['Rock_music', 'musicFusionGenre', 'Pop_rock'], dtype=object) array(['Rock_music', 'musicSubgenre', 'Stoner_rock'], dtype=object) array(['Punk_rock', 'musicFusionGenre', 'Gypsy_punk'], dtype=object) array(['Punk_rock', 'musicFusionGenre', 'Grunge'], dtype=object) array(['Rock_music', 'musicSubgenre', 'Punk_rock'], dtype=object) array(['Alternative_rock', 'musicSubgenre', 'Riot_grrrl'], dtype=object) array(['Punk_rock', 'musicFusionGenre', 'Dance-punk'], dtype=object) array(['Psychedelic_rock', 'musicFusionGenre', 'Psychedelic_funk'], dtype=object) array(['Electronic_rock', 'musicSubgenre', 'Dance-punk'], dtype=object) array(['Rock_music', 'musicFusionGenre', 'Country_rock'], dtype=object) array(['Progressive_rock', 'musicFusionGenre', 'Avant-prog'], dtype=object) array(['Industrial_rock', 'musicFusionGenre', 'Industrial_metal'], dtype=object) array(['Rock_music', 'musicSubgenre', 'Acid_rock'], dtype=object) array(['Rock_music', 'musicSubgenre', 'Alternative_rock'], dtype=object) array(['Heavy_metal_music', 'musicFusionGenre', 'Drone_metal'], dtype=object) array(['Alternative_rock', 'musicSubgenre', 'Christian_alternative_rock'], dtype=object) array(['Alternative_rock', 'musicSubgenre', 'Post-Britpop'], dtype=object) array(['Punk_rock', 'musicFusionGenre', 'Garage_punk_(fusion_genre)'], dtype=object) array(['Alternative_rock', 'musicSubgenre', 'Math_rock'], dtype=object) array(['Alternative_rock', 'musicFusionGenre', 'Alternative_dance'], dtype=object) array(['Rock_music', 'musicFusionGenre', 'Blues_rock'], dtype=object) array(['Electronic_rock', 'musicSubgenre', 'Post-punk_revival'], dtype=object) array(['Rock_music', 'musicSubgenre', 'Indie_rock'], dtype=object) array(['Punk_rock', 'musicFusionGenre', 'Punk_jazz'], dtype=object) array(['Rock_music', 'musicSubgenre', 'Garage_rock'], dtype=object) array(['Punk_rock', 'musicFusionGenre', 'Cowpunk'], dtype=object) array(['Heavy_metal_music', 'musicFusionGenre', 'Folk_metal'], dtype=object) array(['Alternative_rock', 'musicSubgenre', 'Noise_pop'], dtype=object) array(['Glam_rock', 'musicFusionGenre', 'Glam_metal'], dtype=object) array(['Rock_music', 'musicFusionGenre', 'Raga_rock'], dtype=object) array(['Rock_music', 'musicFusionGenre', 'Jazz_rock'], dtype=object) array(['Post-punk', 'musicFusionGenre', 'Post-punk_revival'], dtype=object) array(['Rock_music', 'musicFusionGenre', 'Latin_rock'], dtype=object) array(['Rock_music', 'musicSubgenre', 'Glam_rock'], dtype=object) array(['Punk_rock', 'musicFusionGenre', 'Punk_rap'], dtype=object) array(['Alternative_rock', 'musicSubgenre', 'Geek_rock'], dtype=object) array(['Electronic_rock', 'musicSubgenre', 'Electroclash'], dtype=object) array(['Rock_music', 'musicSubgenre', 'Experimental_rock'], dtype=object) array(['Heavy_metal_music', 'musicFusionGenre', 'Djent'], dtype=object) array(['Electronic_rock', 'musicSubgenre', 'Indietronica'], dtype=object) array(['Alternative_rock', 'musicSubgenre', 'Britpop'], dtype=object) array(['Alternative_rock', 'musicSubgenre', 'Post-grunge'], dtype=object) array(['Rock_music', 'musicFusionGenre', 'Samba_rock'], dtype=object) array(['Punk_rock', 'musicFusionGenre', 'Ska_punk'], dtype=object) array(['Electronic_rock', 'musicSubgenre', 'New_rave'], dtype=object) array(['Heavy_metal_music', 'musicFusionGenre', 'Grindcore'], dtype=object) array(['Alternative_rock', 'musicFusionGenre', 'Alternative_R&B'], dtype=object) array(['Rock_music', 'musicFusionGenre', 'Baroque_pop'], dtype=object) array(['Alternative_rock', 'musicSubgenre', 'Post-punk_revival'], dtype=object) array(['Rock_music', 'musicSubgenre', 'Christian_rock'], dtype=object) array(['Heavy_metal_music', 'musicFusionGenre', 'Industrial_metal'], dtype=object) array(['Rock_music', 'musicFusionGenre', 'Electronic_rock'], dtype=object) array(['Psychedelic_rock', 'musicFusionGenre', 'Psychedelic_pop'], dtype=object) array(['Heavy_metal_music', 'musicFusionGenre', 'Neoclassical_metal'], dtype=object) array(['Alan_Frew', 'genre', 'Alternative_rock'], dtype=object) array(['Garage_rock', 'musicFusionGenre', 'Garage_punk_(fusion_genre)'], dtype=object) array(['Country_rock', 'musicFusionGenre', 'West_Coast_country'], dtype=object) array(['Folk_rock', 'musicSubgenre', 'British_folk_rock'], dtype=object) array(['Punk_rock', 'musicFusionGenre', 'Anti-folk'], dtype=object) array(['Rock_music', 'musicSubgenre', 'Art_rock'], dtype=object) array(['Psychedelic_rock', 'musicFusionGenre', 'Stoner_rock'], dtype=object) array(['Alternative_rock', 'musicSubgenre', 'Dream_pop'], dtype=object) array(['Indie_rock', 'musicFusionGenre', 'Indie_folk'], dtype=object) array(['Rock_music', 'musicFusionGenre', 'Sufi_rock'], dtype=object) array(['Rock_music', 'musicSubgenre', 'Roots_rock'], dtype=object) array(['Heavy_metal_music', 'musicFusionGenre', 'Post-metal'], dtype=object) array(['Alternative_rock', 'musicSubgenre', 'College_rock'], dtype=object) array(['Folk_rock', 'musicSubgenre', 'Indie_folk'], dtype=object) array(['Rock_music', 'musicSubgenre', 'Power_pop'], dtype=object) array(['Rock_music', 'musicSubgenre', 'Hard_rock'], dtype=object) array(['Electronic_rock', 'musicSubgenre', 'Nintendocore'], dtype=object) array(['Folk_rock', 'musicSubgenre', 'Celtic_rock'], dtype=object) array(['Rock_music', 'musicSubgenre', 'Heavy_metal_music'], dtype=object) array(['Punk_rock', 'musicFusionGenre', '2_Tone_(music_genre)'], dtype=object) array(['Electronic_rock', 'musicSubgenre', 'Neon_pop'], dtype=object)]Text: Alan Frew's musical genre is rock music which has its stylistic origins in the Blues. A musical fusion of rock music is bhangra music. bot:[('Alan_Frew', 'genre', 'Rock_music'), ('Rock_music', 'musicFusionGenre', 'Bhangra_(music)'), ('Rock_music', 'stylisticOrigin', 'Blues')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'MusicGenre': {'label': 'music genre', 'comment': '-'}, 'Genre': {'label': 'genre', 'comment': '-'}, 'ArtisticGenre': {'label': 'artistic genre', 'comment': 'Genres of art, e.g. Pointillist, Modernist'}, 'ArtistDiscography': {'label': 'artist discography', 'comment': '-'}, 'MusicalArtist': {'label': 'musical artist', 'comment': '-'}} Available Properties: {'associatedMusicalArtist': {'label': 'iafd id', 'description': 'No description available DataTypeProperty'}, 'city': {'label': 'illiteracy', 'description': 'No description available DataTypeProperty'}, 'distributingLabel': {'label': 'highest point of the island', 'description': 'No description available DataTypeProperty'}, 'genre': {'label': 'locality of a switzerland settlement', 'description': 'No description available DataTypeProperty'}, 'geology': {'label': 'lunar EVA time (s)', 'description': 'No description available DataTypeProperty'}, 'kindOfRock': {'label': 'kind of rock', 'description': 'No description available DataTypeProperty'}, 'literaryGenre': {'label': 'lunar surface time (s)', 'description': 'No description available DataTypeProperty'}, 'location': {'label': 'currency code', 'description': 'ISO 4217 currency designators. DataTypeProperty'}, 'locationCity': {'label': 'date of latest election', 'description': 'No description available DataTypeProperty'}, 'musicBand': {'label': 'height (cm)', 'description': 'No description available DataTypeProperty'}, 'musicComposer': {'label': 'national team match point', 'description': 'No description available DataTypeProperty'}, 'musicFusionGenre': {'label': 'free danse score', 'description': 'No description available DataTypeProperty'}, 'musicSubgenre': {'label': 'Deaths', 'description': 'Permanent, irreversible cessation of all biological functions that sustain a living organism ObjectTypeProperty'}, 'musicType': {'label': 'main islands', 'description': 'No description available DataTypeProperty'}, 'recordLabel': {'label': 'number of Person class (entities) in DBpedia', 'description': 'No description available DataTypeProperty'}, 'silverMedalSingle': {'label': 'silver medal single', 'description': 'No description available DataTypeProperty'}, 'skinColor': {'label': 'skin color', 'description': 'No description available DataTypeProperty'}, 'soundRecording': {'label': 'lunar EVA time (s)', 'description': 'No description available DataTypeProperty'}, 'terytCode': {'label': 'band', 'description': 'No description available DataTypeProperty'}} Subgraph:[array(['Alternative_rock', 'musicFusionGenre', 'Alternative_R&B'], dtype=object) array(['Alternative_metal', 'musicFusionGenre', 'Neue_Deutsche_Härte'], dtype=object) array(['Alternative_rock', 'musicFusionGenre', 'Alternative_metal'], dtype=object) array(['Gothic_rock', 'musicFusionGenre', 'Gothabilly'], dtype=object) array(['Alternative_rock', 'musicSubgenre', 'Emo'], dtype=object) array(['Alternative_rock', 'musicSubgenre', 'Shoegazing'], dtype=object) array(['Indie_rock', 'musicFusionGenre', 'Indie_folk'], dtype=object) array(['Dream_pop', 'musicFusionGenre', 'Ambient_pop'], dtype=object) array(['Alternative_rock', 'musicSubgenre', 'Post-Britpop'], dtype=object) array(['London', 'governmentType', 'Directly_elected_mayors_in_England_and_Wales'], dtype=object) array(['Alternative_rock', 'musicSubgenre', 'Post-grunge'], dtype=object) array(['Indie_rock', 'musicFusionGenre', 'Alternative_dance'], dtype=object) array(['Alternative_rock', 'musicSubgenre', 'Dream_pop'], dtype=object) array(['Metalcore', 'musicFusionGenre', 'Nu_metalcore'], dtype=object) array(['Alternative_rock', 'musicSubgenre', 'Indie_rock'], dtype=object) array(['Alternative_rock', 'musicSubgenre', 'Geek_rock'], dtype=object) array(['Alternative_rock', 'musicSubgenre', 'Grunge'], dtype=object) array(['Alternative_rock', 'musicSubgenre', 'Britpop'], dtype=object) array(['Emo', 'musicFusionGenre', 'Emo_pop'], dtype=object) array(['Metalcore', 'musicFusionGenre', 'Deathcore'], dtype=object) array(['Alternative_rock', 'musicFusionGenre', 'Alternative_dance'], dtype=object) array(['Alternative_rock', 'musicSubgenre', 'Post-rock'], dtype=object) array(['Metalcore', 'musicFusionGenre', 'Melodic_metalcore'], dtype=object) array(['Andrew_Dickson_White', 'birthPlace', 'Homer,_New_York'], dtype=object) array(['Andrew_Dickson_White', 'party', 'Republican_Party_(United_States)'], dtype=object) array(['Indie_rock', 'musicFusionGenre', 'New_rave'], dtype=object) array(['Alternative_rock', 'musicSubgenre', 'Gothic_rock'], dtype=object) array(['Alternative_rock', 'musicSubgenre', 'Post-punk_revival'], dtype=object) array(['Alternative_rock', 'musicSubgenre', 'Nu_gaze'], dtype=object) array(['Alternative_rock', 'musicSubgenre', 'College_rock'], dtype=object) array(['Alternative_rock', 'musicSubgenre', 'Riot_grrrl'], dtype=object) array(['Nu_metal', 'musicFusionGenre', 'Metalcore'], dtype=object) array(['Metalcore', 'musicFusionGenre', 'Electronicore'], dtype=object) array(['Alternative_rock', 'musicSubgenre', 'Noise_pop'], dtype=object) array(['Metalcore', 'musicSubgenre', 'Mathcore'], dtype=object) array(['Indie_rock', 'musicFusionGenre', 'Grindie'], dtype=object) array(['Metalcore', 'musicFusionGenre', 'Progressive_metalcore'], dtype=object) array(['Emo', 'musicFusionGenre', 'Emo_rap'], dtype=object) array(['Metalcore', 'musicFusionGenre', 'Easycore'], dtype=object) array(['Andrew_Dickson_White', 'birthPlace', 'United_States'], dtype=object) array(['Indie_rock', 'musicFusionGenre', 'Alternative_R&B'], dtype=object) array(['Gothic_rock', 'musicFusionGenre', 'Gothic_metal'], dtype=object) array(['Alternative_rock', 'musicSubgenre', 'Math_rock'], dtype=object) array(['London', 'governmentType', 'Deliberative_assembly'], dtype=object) array(['Metalcore', 'musicFusionGenre', 'Nintendocore'], dtype=object) array(['Alternative_rock', 'musicSubgenre', 'Christian_alternative_rock'], dtype=object) ]Text: The musician Andrew White's genre is alternative rock, who signed for Fiction and Polydor Records, London. Nu metal is a music fusion genre of alternative rock. bot:[('Andrew_White_musician', 'genre', 'Alternative_rock'), ('A', 'l', 't'), ('Polydor_Records', 'location', 'London'), ('Alternative_rock', 'musicFusionGenre', 'Nu_metal'), ('Andrew_White_musician', 'recordLabel', 'Fiction'), ('Andrew_White_musician', 'recordLabel', 'Polydor_Records')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'MetroStation': {'label': 'subway station', 'comment': '-'}, 'HistoricPlace': {'label': 'historic place', 'comment': '-'}, 'Museum': {'label': 'museum', 'comment': '-'}, 'Cemetery': {'label': 'cemetery', 'comment': 'A burial place'}, 'HistoricalDistrict': {'label': 'Historical district', 'comment': 'a place which used to be a district.'}, 'Monument': {'label': 'monument', 'comment': 'A type of structure (a statue or an art object) created to commemorate a person or important event, not necessarily of a catastrophic nature.'}, 'Canton': {'label': 'canton', 'comment': 'An administrative (France) or lawcourts (Netherlands) body governing a territorial unity on the municipal level or somewhat above'}, 'Memorial': {'label': 'memorial', 'comment': 'A monument erected to commemorate a person, an event and/or group. In the case of a person, this might be a grave or tomb.'}, 'WorldHeritageSite': {'label': 'World Heritage Site', 'comment': 'A UNESCO World Heritage Site is a site (such as a forest, mountain, lake, desert, monument, building, complex, or city) that is on the list that is maintained by the international World Heritage Programme administered by the UNESCO World Heritage Committee, composed of 21 state parties which are elected by their General Assembly for a four-year term. A World Heritage Site is a place of either cultural or physical significance.'}, 'CityDistrict': {'label': 'city district', 'comment': 'District, borough, area or neighbourhood in a city or town'}} Available Properties: {'activity': {'label': 'locationName', 'description': 'Location of the thing as string. Use "location" if the location is a resource DataTypeProperty'}, 'borough': {'label': 'Dewey Decimal Classification', 'description': 'The Dewey Decimal Classification is a proprietary system of library classification developed by Melvil Dewey in 1876. DataTypeProperty'}, 'capitalPlace': {'label': 'election date', 'description': 'No description available DataTypeProperty'}, 'codeMunicipalMonument': {'label': 'monument code (municipal)', 'description': 'Code assigned to (Dutch) monuments at the municipal level, deemed to be of local value DataTypeProperty'}, 'codeNationalMonument': {'label': 'monument code (national)', 'description': 'Code assigned to (Dutch) monuments at the national level, deemed to be of national value DataTypeProperty'}, 'collectionSize': {'label': 'diseasesDb', 'description': 'No description available DataTypeProperty'}, 'country': {'label': 'eye colour', 'description': 'No description available DataTypeProperty'}, 'governmentCountry': {'label': 'boiling point (K)', 'description': 'No description available DataTypeProperty'}, 'inCemetery': {'label': 'weight (kg)', 'description': 'No description available DataTypeProperty'}, 'locationCity': {'label': 'date of latest election', 'description': 'No description available DataTypeProperty'}, 'locationIdentifier': {'label': 'Location Identifier', 'description': 'No description available DataTypeProperty'}, 'metropolitanBorough': {'label': 'agency station code', 'description': 'Agency station code (used on tickets/reservations, etc.). DataTypeProperty'}, 'musicType': {'label': 'main islands', 'description': 'No description available DataTypeProperty'}, 'nrhpReferenceNumber': {'label': 'NRHP Reference Number', 'description': 'No description available DataTypeProperty'}, 'type': {'label': 'other wins', 'description': 'No description available DataTypeProperty'}, 'voiceType': {'label': 'EntrezGene', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Hispanic_and_Latino_Americans', 'populationPlace', 'Southwestern_United_States'], ['Hispanic_and_Latino_Americans', 'populationPlace', 'California'], ['United_States', 'house', 'United_States_House_of_Representatives'], ['United_States', 'ethnicGroup', 'Hispanic_and_Latino_Americans'], ['Pacific_Islander_Americans', 'populationPlace', 'American_Samoa'], ['Hispanic_and_Latino_Americans', 'populationPlace', 'Midwestern_United_States'], ['United_States_House_of_Representatives', 'location', 'United_States_of_America'], ['United_States', 'ethnicGroup', 'Native_Americans_in_the_United_States'], ['United_States', 'ethnicGroup', 'White_Americans'], ['Asian_Americans', 'populationPlace', 'Florida'], ['Asian_Americans', 'populationPlace', 'Hawaii'], ['United_States', 'house', 'United_States_Senate'], ['United_States', 'ethnicGroup', 'Pacific_Islander_Americans'], ['Pacific_Islander_Americans', 'populationPlace', 'Washington_(state)'], ['Asian_Americans', 'populationPlace', 'Virginia'], ['United_States', 'ethnicGroup', 'African_Americans'], ['Hispanic_and_Latino_Americans', 'populationPlace', 'Northeastern_United_States'], ['Pacific_Islander_Americans', 'populationPlace', 'Nevada'], ['United_States_House_of_Representatives', 'isPartOf', 'United_States_Congress'], ['Pacific_Islander_Americans', 'populationPlace', 'Guam'], ['Pacific_Islander_Americans', 'populationPlace', 'Utah'], ['Pacific_Islander_Americans', 'populationPlace', 'Texas'], ['White_Americans', 'populationPlace', 'List_of_regions_of_the_United_States'], ['Asian_Americans', 'populationPlace', 'California'], ['United_States', 'ethnicGroup', 'Asian_Americans'], ['Hispanic_and_Latino_Americans', 'populationPlace', 'Hispanics_and_Latinos_in_New_Jersey'], ['United_States_House_of_Representatives', 'location', 'Washington,_D.C.'], ['Asian_Americans', 'populationPlace', 'New_Jersey'], ['Multiracial_Americans', 'populationPlace', 'Midwestern_United_States'], ['African_Americans', 'populationPlace', 'List_of_United_States_urban_areas'], ['Pacific_Islander_Americans', 'populationPlace', 'Florida'], ['Multiracial_Americans', 'populationPlace', 'Southern_United_States'], ['Asian_Americans', 'populationPlace', 'New_York_(state)'], ['Pacific_Islander_Americans', 'populationPlace', 'Hawaii'], ['Hispanic_and_Latino_Americans', 'populationPlace', 'Washington-Baltimore_metropolitan_area'], ['Hispanic_and_Latino_Americans', 'populationPlace', 'Texas'], ['Multiracial_Americans', 'populationPlace', 'Northeastern_United_States'], ['African_Americans', 'populationPlace', 'Southern_United_States'], ['United_States_House_of_Representatives', 'location', 'United_States_Capitol'], ['Native_Americans_in_the_United_States', 'populationPlace', 'Eastern_United_States'], ['Multiracial_Americans', 'populationPlace', 'Western_United_States'], ['Asian_Americans', 'populationPlace', 'Pennsylvania'], ['Hispanic_and_Latino_Americans', 'populationPlace', 'New_York_metropolitan_area'], ['United_States', 'ethnicGroup', 'Multiracial_Americans'], ['United_States', 'largestCity', 'New_York_City'], ['Native_Americans_in_the_United_States', 'populationPlace', 'Western_United_States'], ['Asian_Americans', 'populationPlace', 'Illinois'], ['Pacific_Islander_Americans', 'populationPlace', 'Northern_Mariana_Islands'], ['Hispanic_and_Latino_Americans', 'populationPlace', 'Florida'], ['Asian_Americans', 'populationPlace', 'Washington_(state)'], ['United_States', 'ethnicGroup', 'Race_and_ethnicity_in_the_United_States_census'], ['Pacific_Islander_Americans', 'populationPlace', 'California'], ['New_York_City', 'country', 'United_States'], ['United_States_Senate', 'isPartOf', 'United_States_Congress'], ['Pacific_Islander_Americans', 'populationPlace', 'Oregon'], ['Asian_Americans', 'populationPlace', 'Texas'], ['Pacific_Islander_Americans', 'populationPlace', 'New_York_(state)']]Text: Harrietstown, New York, is located in the United States. bot:[('Harrietstown,_New_York', 'country', 'United_States'), ('United_States', 'type', 'Location'), ('Harrietstown,_New_York', 'type', 'Location'), ('United_States', 'type', 'Country'), ('Harrietstown,_New_York', 'type', 'Town')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'EducationalInstitution': {'label': 'educational institution', 'comment': '-'}, 'University': {'label': 'university', 'comment': '-'}, 'Department': {'label': 'department', 'comment': '-'}, 'College': {'label': 'college', 'comment': '-'}, 'GovernmentAgency': {'label': 'government agency', 'comment': 'A government agency is a permanent or semi-permanent organization in the machinery of government that is responsible for the oversight and administration of specific functions, such as an intelligence agency.'}, 'AcademicConference': {'label': 'academic conference', 'comment': '-'}, 'GovernmentCabinet': {'label': 'cabinet of ministers', 'comment': 'A cabinet is a body of high-ranking state officials, typically consisting of the top leaders of the executive branch.'}, 'AcademicJournal': {'label': 'academic journal', 'comment': '-'}, 'CollegeCoach': {'label': 'college coach', 'comment': '-'}, 'GovernmentalAdministrativeRegion': {'label': 'governmental administrative region', 'comment': 'An administrative body governing some territorial unity, in this case a governmental administrative body'}} Available Properties: {'administrativeCenter': {'label': 'musicFormat', 'description': 'The format of the album: EP, Single etc. DataTypeProperty'}, 'administrativeDistrict': {'label': 'Number of revision per month', 'description': 'used for DBpedia History > Subject must be a blank node containing a dc:date and a rdfs:value DataTypeProperty'}, 'administrativeHeadCity': {'label': 'ICAO code', 'description': 'ICAO designation for airline companies DataTypeProperty'}, 'affiliation': {'label': 'hra state', 'description': 'No description available DataTypeProperty'}, 'agency': {'label': 'minimum preparation time (s)', 'description': 'Minimum preparation time of a recipe / Food DataTypeProperty'}, 'alumni': {'label': 'Number of revision per year', 'description': 'used for DBpedia History > Subject must be a blank node containing a dc:date and a rdfs:value DataTypeProperty'}, 'campus': {'label': 'fight', 'description': 'No description available DataTypeProperty'}, 'campusType': {'label': 'campus type', 'description': 'No description available DataTypeProperty'}, 'city': {'label': 'illiteracy', 'description': 'No description available DataTypeProperty'}, 'college': {'label': 'extinction year', 'description': '!!! Do NOT use this property for non Species related dates!!! - Year this species went extinct. DataTypeProperty'}, 'collegeHof': {'label': 'college hof', 'description': 'No description available DataTypeProperty'}, 'dcc': {'label': 'Dewey Decimal Classification', 'description': 'The Dewey Decimal Classification is a proprietary system of library classification developed by Melvil Dewey in 1876. DataTypeProperty'}, 'department': {'label': 'zdb', 'description': 'Identifier for serial titles. More precise than issn DataTypeProperty'}, 'facultySize': {'label': 'faculty size', 'description': 'number of faculty members DataTypeProperty'}, 'finalPublicationYear': {'label': 'final publication year', 'description': 'Year of the final publication. DataTypeProperty'}, 'firstPublisher': {'label': 'population density rural (/sqkm)', 'description': 'No description available DataTypeProperty'}, 'institution': {'label': 'setting of play', 'description': 'The places and time where the play takes place. DataTypeProperty'}, 'internationalAffiliation': {'label': 'common name', 'description': 'The common name of an entity. Frequently, foaf:name is used for all of the different names of a person; this property just defines the most commonly used name. DataTypeProperty'}, 'locationCity': {'label': 'date of latest election', 'description': 'No description available DataTypeProperty'}, 'magazine': {'label': 'mukthar of a lebanon settlement', 'description': 'No description available DataTypeProperty'}, 'nationalAffiliation': {'label': 'Number Of State Deputies', 'description': 'No description available DataTypeProperty'}, 'numberOfPersonFromUniversity': {'label': 'number of entities of Person class who graduated from the university', 'description': 'No description available DataTypeProperty'}, 'numberOfUndergraduateStudents': {'label': 'number of undergraduate students', 'description': 'No description available DataTypeProperty'}, 'politicalLeader': {'label': 'non professional career', 'description': 'No description available DataTypeProperty'}, 'president': {'label': 'hopman cup', 'description': 'No description available DataTypeProperty'}, 'publisher': {'label': 'lethal when given to rats', 'description': 'No description available DataTypeProperty'}, 'schoolNumber': {'label': 'school number', 'description': 'No description available DataTypeProperty'}, 'sisterCollege': {'label': 'first publication year', 'description': 'Year of the first publication. DataTypeProperty'}, 'university': {'label': 'number of vehicles', 'description': 'Number of vehicles used in the transit system. DataTypeProperty'}, 'vicePresident': {'label': 'year of construction', 'description': 'The year in which construction of the Place was finished. DataTypeProperty'}, 'wikiPageInDegree': {'label': 'Wiki page in degree', 'description': 'Reserved for DBpedia. DataTypeProperty'}, 'wikiPageOutDegree': {'label': 'Wiki page out degree', 'description': 'Reserved for DBpedia. DataTypeProperty'}} Subgraph:[['Administrative_Science_Quarterly', 'publisher', 'Cornell_University'], ['Administrative_Science_Quarterly', 'publisher', 'SAGE_Publications'], ['Elizabeth_I', 'parent', 'Anne_Boleyn'], ['Cornell_University', 'state', 'New_York_(state)'], ['Elizabeth_I', 'successor', 'James_VI_and_I'], ['Cornell_University', 'city', 'Ithaca,_New_York'], ['Elizabeth_I', 'parent', 'Henry_VIII']]Text: Cornell University is in Ithaca, New York and the president is Elizabeth Garrett. They are the publisher of the Administrative Science Quarterly and are affiliated with the Association of Public and Land-grant Universities. bot:[('Cornell_University', 'affiliation', 'Association_of_Public_and_Land-grant_Universities'), ('Cornell_University', 'city', 'Ithaca,_New_York'), ('Cornell_University', 'president', 'Elizabeth_Garrett'), ('Administrative_Science_Quarterly', 'publisher', 'Cornell_University'), ('Cornell_University', 'type', 'EducationalInstitution'), ('Administrative_Science_Quarterly', 'type', 'Work')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'Polysaccharide': {'label': 'polysaccharide', 'comment': '-'}, 'Archipelago': {'label': 'archipelago', 'comment': '-'}, 'Taxon': {'label': 'taxonomic group', 'comment': 'a category within a classification system for Species'}, 'NationalSoccerClub': {'label': 'national soccer club', 'comment': '-'}, 'Gnetophytes': {'label': 'Gnetophytes', 'comment': '-'}, 'Food': {'label': 'Food', 'comment': 'Food is any eatable or drinkable substance that is normally consumed by humans.'}, 'Plant': {'label': 'plant', 'comment': '-'}, 'GreenAlga': {'label': 'green alga', 'comment': '-'}, 'Fish': {'label': 'fish', 'comment': '-'}, 'Vodka': {'label': 'vodka', 'comment': '-'}} Available Properties: {'archipelago': {'label': 'project start date', 'description': 'The start date of the project. DataTypeProperty'}, 'astrazenca': {'label': 'Astrazenca', 'description': 'AstraZeneca plc is a British-Swedish multinational pharmaceutical and biotechnology company with its headquarters at the Cambridge Biomedical Campus in Cambridge, England. DataTypeProperty'}, 'championInSingleFemale': {'label': 'escalafon', 'description': 'No description available DataTypeProperty'}, 'collectionSize': {'label': 'diseasesDb', 'description': 'No description available DataTypeProperty'}, 'country': {'label': 'eye colour', 'description': 'No description available DataTypeProperty'}, 'countryOrigin': {'label': 'number of licensed', 'description': 'nombre de personnes ayant une license pour pratiquer cette activité DataTypeProperty'}, 'ethnicGroup': {'label': 'election date leader', 'description': 'The date that leader was elected. DataTypeProperty'}, 'governmentCountry': {'label': 'boiling point (K)', 'description': 'No description available DataTypeProperty'}, 'highestMountain': {'label': 'region', 'description': 'The regin where the thing is located or is connected to. ObjectTypeProperty'}, 'ingredient': {'label': 'lunar orbit time (s)', 'description': 'No description available DataTypeProperty'}, 'ingredientName': {'label': 'ingredient name (literal)', 'description': 'Main ingredient used to prepare a specific Food or Beverage. For strings use ingredientName, for objects use ingredient. DataTypeProperty'}, 'medication': {'label': 'victims (string)', 'description': 'Type, description, or name(s) of victims of a ConcentrationCamp, Criminal, SerialKiller, or some other atrocity DataTypeProperty'}, 'musicType': {'label': 'main islands', 'description': 'No description available DataTypeProperty'}, 'nationality': {'label': 'national tournament bronze', 'description': 'No description available DataTypeProperty'}, 'originalNotLatinTitle': {'label': 'titre original non latin', 'description': 'The original non latin title of the work DataTypeProperty'}, 'product': {'label': 'old name', 'description': 'No description available DataTypeProperty'}, 'regionServed': {'label': 'number of bombs', 'description': 'No description available DataTypeProperty'}, 'sourceRegion': {'label': 'code on List of Honour', 'description': 'No description available DataTypeProperty'}, 'stateOfOriginTeam': {'label': 'barangays', 'description': 'No description available DataTypeProperty'}, 'type': {'label': 'other wins', 'description': 'No description available DataTypeProperty'}, 'voiceType': {'label': 'EntrezGene', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Spain', 'topLevelDomain', '.es'], ['France', 'house', 'National_Assembly_(France)'], ['Madrid', 'country', 'Spain'], ['Arros-de-Nay', 'intercommunality', 'Communauté_de_communes_du_Pays_de_Nay'], ['Arros-de-Nay', 'country', 'France'], ['Spain', 'religion', 'Irreligion'], ['Spain', 'house', 'Senate_of_Spain'], ['Spain', 'currency', 'Euro'], ['Spain', 'house', 'Congress_of_Deputies'], ['Spain', 'language', 'Spanish_language'], ['Cubanelle', 'species', 'Capsicum_annuum'], ['Arros-de-Nay', 'arrondissement', 'Pau,_Pyrénées-Atlantiques'], ['Spain', 'largestCity', 'Madrid'], ['Spain', 'religion', 'Christianity'], ['France', 'house', 'Senate_(France)'], ['France', 'topLevelDomain', '.fr']]Text: Arros negre comes from Spain and the Valencian community. The main ingredients are white rice, cuttlefish or squid, cephalopod ink and cubanelle peppers. bot:[('Arròs_negre', 'country', 'Spain'), ('Arròs_negre', 'ingredient', 'White_rice,_cuttlefish_or_squid,_cephalopod_ink,_cubanelle_peppers'), ('Arròs_negre', 'ingredient', 'White_rice'), ('Arròs_negre', 'region', 'Valencian_Community'), ('Arròs_negre', 'type', 'Food'), ('Spain', 'type', 'Location'), ('Cubanelle', 'type', 'Plant'), ('Spain', 'type', 'Country')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'Mollusca': {'label': 'mollusca', 'comment': '-'}, 'ChemicalCompound': {'label': 'chemical compound', 'comment': '-'}, 'Bacteria': {'label': 'bacteria', 'comment': '-'}, 'Mineral': {'label': 'mineral', 'comment': 'A naturally occurring solid chemical substance.'}, 'ChemicalSubstance': {'label': 'chemical substance', 'comment': '-'}} Available Properties: {'___': {'label': 'flora', 'description': 'No description available DataTypeProperty'}, 'bioavailability': {'label': 'Bioavailability', 'description': '"The rate and extent to which the active ingredient or active moiety is absorbed from a drug product and becomes available at the site of action. For drug products that are not intended to be absorbed into the bloodstream, bioavailability may be assessed by measurements intended to reflect the rate and extent to which the active ingredient or active moiety becomes available at the site of action (21CFR320.1)." DataTypeProperty'}, 'biome': {'label': 'numberOfResource', 'description': 'number of all resource in DBpedia (including disambiguation pages and rediretcs) DataTypeProperty'}, 'collectionSize': {'label': 'diseasesDb', 'description': 'No description available DataTypeProperty'}, 'country': {'label': 'eye colour', 'description': 'No description available DataTypeProperty'}, 'cultivatedVariety': {'label': 'PfizerCumulativeDoses', 'description': '辉瑞是源自美国的跨国制药、生物技术公司，营运总部位于纽约，研发总部位于康涅狄格州的格罗顿市 DataTypeProperty'}, 'fossil': {'label': 'CO2 emission (g/km)', 'description': 'No description available DataTypeProperty'}, 'governmentCountry': {'label': 'boiling point (K)', 'description': 'No description available DataTypeProperty'}, 'ingredient': {'label': 'lunar orbit time (s)', 'description': 'No description available DataTypeProperty'}, 'ingredientName': {'label': 'ingredient name (literal)', 'description': 'Main ingredient used to prepare a specific Food or Beverage. For strings use ingredientName, for objects use ingredient. DataTypeProperty'}, 'medication': {'label': 'victims (string)', 'description': 'Type, description, or name(s) of victims of a ConcentrationCamp, Criminal, SerialKiller, or some other atrocity DataTypeProperty'}, 'product': {'label': 'old name', 'description': 'No description available DataTypeProperty'}, 'productionCompany': {'label': 'lethal when given to chickens', 'description': 'No description available DataTypeProperty'}, 'relatedPlaces': {'label': 'cuisine', 'description': 'National cuisine of a Food or Restaurant DataTypeProperty'}, 'superFamily': {'label': 'bioclimate', 'description': 'No description available DataTypeProperty'}, 'wineProduced': {'label': 'number of rocket stages', 'description': 'number of stages, not including boosters DataTypeProperty'}} Subgraph:[array(['Bionico', 'ingredient', 'Sour_cream'], dtype=object) array(['Bionico', 'ingredient', 'Granola'], dtype=object) array(['Bionico', 'ingredient', 'Raisins'], dtype=object) array(['Bionico', 'ingredient', 'Condensed_milk'], dtype=object) array(['Mexico', 'ethnicGroup', 'Mexico'], dtype=object)]Text: Bionico is a food found in Mexico, it includes sour cream. bot:[('Bionico', 'country', 'Mexico'), ('Bionico', 'ingredient', 'Sour_cream'), ('Bionico', 'type', 'Food')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'Chef': {'label': 'chef', 'comment': 'a person who cooks professionally for other people'}, 'Grape': {'label': 'grape', 'comment': '-'}, 'Polysaccharide': {'label': 'polysaccharide', 'comment': '-'}, 'Enzyme': {'label': 'enzyme', 'comment': '-'}, 'Restaurant': {'label': 'restaurant', 'comment': '-'}, 'Mineral': {'label': 'mineral', 'comment': 'A naturally occurring solid chemical substance.'}, 'Opera': {'label': 'opera', 'comment': '-'}, 'Cheese': {'label': 'cheese', 'comment': 'A milk product prepared for human consumption'}, 'Food': {'label': 'Food', 'comment': 'Food is any eatable or drinkable substance that is normally consumed by humans.'}, 'Crustacean': {'label': 'crustacean', 'comment': '-'}} Available Properties: {'astrazenca': {'label': 'Astrazenca', 'description': 'AstraZeneca plc is a British-Swedish multinational pharmaceutical and biotechnology company with its headquarters at the Cambridge Biomedical Campus in Cambridge, England. DataTypeProperty'}, 'astrazencaCumul': {'label': 'AstrazencaCumulativeDoses', 'description': '阿斯利康制药公司，是一家由瑞典阿斯特公司（Astra AB）和英国捷利康公司（Zeneca Group PLC）于1999年4月6日合并而成的大型英瑞合资生物制药企业 DataTypeProperty'}, 'chef': {'label': 'event description', 'description': 'This is to describe the event that hapened here (in case there is no event resource to be linked to) DataTypeProperty'}, 'collectionSize': {'label': 'diseasesDb', 'description': 'No description available DataTypeProperty'}, 'country': {'label': 'eye colour', 'description': 'No description available DataTypeProperty'}, 'countryOrigin': {'label': 'number of licensed', 'description': 'nombre de personnes ayant une license pour pratiquer cette activité DataTypeProperty'}, 'governmentCountry': {'label': 'boiling point (K)', 'description': 'No description available DataTypeProperty'}, 'growingGrape': {'label': 'ceiling', 'description': 'Maximum distance to the earth surface, to be expressed in kilometers DataTypeProperty'}, 'headChef': {'label': 'minimum inclination', 'description': 'No description available DataTypeProperty'}, 'highestMountain': {'label': 'region', 'description': 'The regin where the thing is located or is connected to. ObjectTypeProperty'}, 'ingredient': {'label': 'lunar orbit time (s)', 'description': 'No description available DataTypeProperty'}, 'ingredientName': {'label': 'ingredient name (literal)', 'description': 'Main ingredient used to prepare a specific Food or Beverage. For strings use ingredientName, for objects use ingredient. DataTypeProperty'}, 'leader': {'label': 'number of all MuscialArtist playing the style', 'description': 'No description available DataTypeProperty'}, 'leaderName': {'label': 'original title', 'description': 'The original title of the work, most of the time in the original language as well DataTypeProperty'}, 'leaderParty': {'label': 'election majority', 'description': 'number of votes the office holder attained DataTypeProperty'}, 'medication': {'label': 'victims (string)', 'description': 'Type, description, or name(s) of victims of a ConcentrationCamp, Criminal, SerialKiller, or some other atrocity DataTypeProperty'}, 'musicType': {'label': 'main islands', 'description': 'No description available DataTypeProperty'}, 'product': {'label': 'old name', 'description': 'No description available DataTypeProperty'}, 'regionServed': {'label': 'number of bombs', 'description': 'No description available DataTypeProperty'}, 'relatedPlaces': {'label': 'cuisine', 'description': 'National cuisine of a Food or Restaurant DataTypeProperty'}, 'seniunija': {'label': 'other wins', 'description': 'No description available DataTypeProperty'}, 'sourceRegion': {'label': 'code on List of Honour', 'description': 'No description available DataTypeProperty'}, 'type': {'label': 'other wins', 'description': 'No description available DataTypeProperty'}, 'voiceType': {'label': 'EntrezGene', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Ajoblanco', 'ingredient', 'Water'], ['Ajoblanco', 'country', 'Spain'], ['Spain', 'religion', 'Irreligion'], ['Spain', 'largestCity', 'Madrid'], ['Ajoblanco', 'ingredient', 'Garlic'], ['Bread', 'ingredient', 'Flour'], ['Spain', 'event', 'Spain__HistoricalEvent__5'], ['Spain', 'event', 'Spain__HistoricalEvent__4'], ['Spain', 'legislature', 'Cortes_Generales'], ['Spain', 'timeZone', 'Western_European_Time'], ['Ajoblanco', 'ingredient', 'Olive_oil'], ['Bread', 'ingredient', 'Water'], ['Ajoblanco', 'region', 'Andalusia'], ['Spain', 'event', 'Spain__HistoricalEvent__2'], ['Spain', 'timeZone', 'Central_European_Time'], ['Ajoblanco', 'ingredient', 'Bread'], ['Spain', 'religion', 'Christianity'], ['Spain', 'event', 'Spain__HistoricalEvent__1'], ['Spain', 'language', 'Spanish_language'], ['Spain', 'event', 'Spain__HistoricalEvent__3'], ['Spain', 'currency', 'Euro'], ['Ajoblanco', 'ingredient', 'Almond']]Text: Almond is an ingredient of ajoblanco, a dish from Andalusia, Spain, where Susana Diaz is a leader. bot:[('Ajoblanco', 'country', 'Spain'), ('Ajoblanco', 'ingredient', 'Almond'), ('A', 'l', 'm'), ('Andalusia', 'leader', 'Susana_Díaz'), ('Ajoblanco', 'region', 'Andalusia'), ('Spain', 'type', 'Location'), ('Susana_Díaz', 'type', 'Eukaryote'), ('Susana_Díaz', 'type', 'Politician'), ('Ajoblanco', 'type', 'Food'), ('Spain', 'type', 'Country')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'Archipelago': {'label': 'archipelago', 'comment': '-'}, 'Chef': {'label': 'chef', 'comment': 'a person who cooks professionally for other people'}, 'Municipality': {'label': 'municipality', 'comment': 'An administrative body governing a territorial unity on the lower level, administering one or a few more settlements'}, 'Island': {'label': 'island', 'comment': '-'}, 'Crustacean': {'label': 'crustacean', 'comment': '-'}, 'Polysaccharide': {'label': 'polysaccharide', 'comment': '-'}, 'Village': {'label': 'village', 'comment': 'a clustered human settlement or community, usually smaller a town'}, 'Prefecture': {'label': 'prefecture', 'comment': '-'}, 'Province': {'label': 'province', 'comment': 'An administrative body governing a territorial unity on the intermediate level, between local and national level'}, 'Restaurant': {'label': 'restaurant', 'comment': '-'}} Available Properties: {'archipelago': {'label': 'project start date', 'description': 'The start date of the project. DataTypeProperty'}, 'binomial': {'label': 'average speed (km/s)', 'description': 'The average speed of a thing. DataTypeProperty'}, 'chEBI': {'label': 'ChEBI', 'description': 'A unique identifier for the drug in the Chemical Entities of Biological Interest (ChEBI) ontology DataTypeProperty'}, 'collectionSize': {'label': 'diseasesDb', 'description': 'No description available DataTypeProperty'}, 'country': {'label': 'eye colour', 'description': 'No description available DataTypeProperty'}, 'countryOrigin': {'label': 'number of licensed', 'description': 'nombre de personnes ayant une license pour pratiquer cette activité DataTypeProperty'}, 'cultivatedVariety': {'label': 'PfizerCumulativeDoses', 'description': '辉瑞是源自美国的跨国制药、生物技术公司，营运总部位于纽约，研发总部位于康涅狄格州的格罗顿市 DataTypeProperty'}, 'governmentCountry': {'label': 'boiling point (K)', 'description': 'No description available DataTypeProperty'}, 'highestMountain': {'label': 'region', 'description': 'The regin where the thing is located or is connected to. ObjectTypeProperty'}, 'ingredient': {'label': 'lunar orbit time (s)', 'description': 'No description available DataTypeProperty'}, 'medication': {'label': 'victims (string)', 'description': 'Type, description, or name(s) of victims of a ConcentrationCamp, Criminal, SerialKiller, or some other atrocity DataTypeProperty'}, 'musicType': {'label': 'main islands', 'description': 'No description available DataTypeProperty'}, 'nameInJapanese': {'label': 'name in Japanese', 'description': 'No description available DataTypeProperty'}, 'nameInTraditionalChinese': {'label': 'name in Traditional Chinese', 'description': 'No description available DataTypeProperty'}, 'product': {'label': 'old name', 'description': 'No description available DataTypeProperty'}, 'regionServed': {'label': 'number of bombs', 'description': 'No description available DataTypeProperty'}, 'relatedPlaces': {'label': 'cuisine', 'description': 'National cuisine of a Food or Restaurant DataTypeProperty'}, 'sourceRegion': {'label': 'code on List of Honour', 'description': 'No description available DataTypeProperty'}, 'stateOfOriginTeam': {'label': 'barangays', 'description': 'No description available DataTypeProperty'}, 'taoiseach': {'label': 'gross domestic product (GDP) per capita', 'description': 'The nominal gross domestic product of a country per capita. DataTypeProperty'}, 'type': {'label': 'other wins', 'description': 'No description available DataTypeProperty'}, 'voiceType': {'label': 'EntrezGene', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Philippines', 'topLevelDomain', '.ph'], ['Banana', 'division', 'Angiosperms'], ['Bicolano_people', 'populationPlace', 'Overseas_Filipinos'], ['Bicolano_people', 'populationPlace', 'Philippines'], ['Philippines', 'ethnicGroup', 'Ethnic_groups_in_the_Philippines'], ['Visayas', 'location', 'Southeast_Asia'], ['Banana', 'family', 'Musaceae'], ['Banana', 'genus', 'Musa_(genus)'], ['Philippines', 'currency', 'Philippine_peso'], ['Binignit', 'ingredient', 'Purple_yam'], ['Visayans', 'populationPlace', 'Luzon'], ['Ilocano_people', 'populationPlace', 'United_States'], ['Binignit', 'hasVariant', 'Bilo-bilo'], ['Binignit', 'ingredient', 'Sago'], ['Binignit', 'ingredient', 'Banana'], ['Tagalog_people', 'populationPlace', 'Filipinos_in_Hong_Kong'], ['Tagalog_people', 'populationPlace', 'Japan'], ['Tagalog_people', 'populationPlace', 'Guam'], ['Tagalog_people', 'populationPlace', 'Northern_Mariana_Islands'], ['Visayans', 'populationPlace', 'Visayas'], ['Banana', 'order', 'Commelinids'], ['Tagalog_people', 'populationPlace', 'Federated_States_of_Micronesia'], ['Banana', 'class', 'Monocots'], ['Philippines', 'governmentType', 'Unitary_state'], ['Philippines', 'language', 'Filipino_Sign_Language'], ['Visayans', 'populationPlace', 'Mindanao'], ['Tagalog_people', 'populationPlace', 'Philippines'], ['Tagalog_people', 'populationPlace', 'Filipino_American'], ['Binignit', 'ingredient', 'Taro'], ['Philippines', 'ethnicGroup', 'Bicolano_people'], ['Ilocano_people', 'populationPlace', 'Overseas_Filipino'], ['Ilocano_people', 'populationPlace', 'Philippines'], ['Visayans', 'populationPlace', 'Overseas_Filipinos'], ['Binignit', 'ingredient', 'Sweet_potato'], ['Banana', 'order', 'Zingiberales'], ['Visayans', 'populationPlace', 'Philippines'], ['Banana', 'kingdom', 'Plantae'], ['Binignit', 'region', 'Visayas'], ['Philippines', 'largestCity', 'Quezon_City'], ['Visayas', 'country', 'Philippines'], ['Binignit', 'region', 'Mindanao'], ['Visayas', 'archipelago', 'Philippines'], ['Tagalog_people', 'populationPlace', 'Filipino_Canadian'], ['Philippines', 'ethnicGroup', 'Tagalog_people'], ['Philippines', 'ethnicGroup', 'Ilocano_people'], ['Binignit', 'country', 'Philippines'], ['Binignit', 'ingredient', 'Pearl_sago'], ['Binignit', 'ingredient', 'Glutinous_rice'], ['Binignit', 'ingredient', 'Coconut_milk'], ['Filipino_Sign_Language', 'spokenIn', 'Philippines'], ['Tagalog_people', 'populationPlace', 'Filipinos_in_Palau'], ['Philippines', 'ethnicGroup', 'Visayans'], ['Tagalog_people', 'populationPlace', 'Saudi_Arabia']]Text: Binignit is a dish from the region of Visayas in the Philippines. It includes sweet potato and banana. bot:[('Binignit', 'country', 'Philippines'), ('Binignit', 'ingredient', 'Sweet_potato'), ('Binignit', 'ingredient', 'Banana'), ('Binignit', 'region', 'Visayas'), ('Binignit', 'type', 'Food'), ('Banana', 'type', 'Plant'), ('Philippines', 'type', 'Location'), ('Visayas', 'type', 'Location'), ('Philippines', 'type', 'Country'), ('Visayas', 'type', 'Island'), ('Banana', 'type', 'Eukaryote')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'SpaceShuttle': {'label': 'space shuttle', 'comment': '-'}, 'Astronaut': {'label': 'astronaut', 'comment': '-'}, 'YearInSpaceflight': {'label': 'year in spaceflight', 'comment': '-'}, 'SpaceMission': {'label': 'space mission', 'comment': '-'}, 'Spacecraft': {'label': 'spacecraft', 'comment': '-'}, 'NascarDriver': {'label': 'nascar driver', 'comment': '-'}, 'SpaceStation': {'label': 'space station', 'comment': '-'}, 'Engineer': {'label': 'engineer', 'comment': '-'}, 'Pilot': {'label': 'Pilot', 'comment': '-'}, 'Actor': {'label': 'actor', 'comment': 'An actor or actress is a person who acts in a dramatic production and who works in film, television, theatre, or radio in that capacity.'}} Available Properties: {'Astronaut/timeInSpace': {'label': 'national tournament bronze', 'description': 'No description available DataTypeProperty'}, 'SpaceShuttle/timeInSpace': {'label': 'number of officials', 'description': 'No description available DataTypeProperty'}, '_timeInSpace': {'label': 'end career', 'description': 'No description available DataTypeProperty'}, 'almaMater': {'label': 'end career', 'description': 'No description available DataTypeProperty'}, 'alumni': {'label': 'Number of revision per year', 'description': 'used for DBpedia History > Subject must be a blank node containing a dc:date and a rdfs:value DataTypeProperty'}, 'birthPlace': {'label': 'Bioavailability', 'description': '"The rate and extent to which the active ingredient or active moiety is absorbed from a drug product and becomes available at the site of action. For drug products that are not intended to be absorbed into the bloodstream, bioavailability may be assessed by measurements intended to reflect the rate and extent to which the active ingredient or active moiety becomes available at the site of action (21CFR320.1)." DataTypeProperty'}, 'chain': {'label': 'expedition', 'description': 'No description available DataTypeProperty'}, 'coemperor': {'label': 'bowl record', 'description': 'No description available DataTypeProperty'}, 'countryOrigin': {'label': 'number of licensed', 'description': 'nombre de personnes ayant une license pour pratiquer cette activité DataTypeProperty'}, 'countryWithFirstAstronaut': {'label': 'hairs', 'description': 'No description available DataTypeProperty'}, 'countryWithFirstSpaceflight': {'label': 'has natural bust', 'description': 'No description available DataTypeProperty'}, 'daira': {'label': 'id', 'description': 'No description available DataTypeProperty'}, 'deathPlace': {'label': 'dress code', 'description': 'The recommended dress code for an establishment or event. DataTypeProperty'}, 'ethnicity': {'label': 'school number', 'description': 'No description available DataTypeProperty'}, 'features': {'label': 'throwing side', 'description': 'No description available DataTypeProperty'}, 'firstDriverCountry': {'label': 'military function', 'description': 'No description available DataTypeProperty'}, 'livingPlace': {'label': 'temperature (K)', 'description': 'No description available DataTypeProperty'}, 'location': {'label': 'currency code', 'description': 'ISO 4217 currency designators. DataTypeProperty'}, 'locationCity': {'label': 'date of latest election', 'description': 'No description available DataTypeProperty'}, 'musicType': {'label': 'main islands', 'description': 'No description available DataTypeProperty'}, 'nationalSelection': {'label': 'dead in fight date', 'description': 'No description available DataTypeProperty'}, 'nationality': {'label': 'national tournament bronze', 'description': 'No description available DataTypeProperty'}, 'occupation': {'label': 'number of officials', 'description': 'No description available DataTypeProperty'}, 'otherOccupation': {'label': 'mission duration (μ)', 'description': 'No description available DataTypeProperty'}, 'profession': {'label': 'ISO 3166-1 code', 'description': 'defines codes for the names of countries, dependent territories, and special areas of geographical interest DataTypeProperty'}, 'selection': {'label': 'size (MB)', 'description': 'size of a file or software DataTypeProperty'}, 'shuttle': {'label': 'amateur no contest', 'description': 'No description available DataTypeProperty'}, 'spacestation': {'label': 'notes', 'description': 'additional notes that better describe the entity. DataTypeProperty'}, 'timeInSpace': {'label': 'total time person has spent in space (s)', 'description': 'No description available DataTypeProperty'}, 'type': {'label': 'other wins', 'description': 'No description available DataTypeProperty'}, 'voiceType': {'label': 'EntrezGene', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Alan_Bean', 'occupation', 'Naval_aviator'], ['Alan_Bean', 'deathPlace', 'Houston'], ['Alan_Bean', 'occupation', 'Test_pilot'], ['Texas', 'largestCity', 'Houston'], ['Alan_Bean', 'birthPlace', 'Wheeler,_Texas'], ['Alan_Bean', 'deathPlace', 'Texas'], ['Alan_Bean', 'occupation', 'Astronaut']]Text: Alan Bean is originally from Wheeler, Texas, U.S. and graduated from UT Austin 1955 with a Bachelor of Science degree. Alan Bean joined NASA in 1963 as a test pilot and spent 100305 minutes in space. bot:[('Alan_Bean', 'almaMater', 'UT_Austin,_B.S._1955'), ('Alan_Bean', 'birthPlace', 'Wheeler,_Texas'), ('Alan_Bean', 'nationality', 'United_States'), ('Alan_Bean', 'occupation', 'Test_pilot'), ('A', 's', 't'), ('Alan_Bean', 'selection', '1963'), ('Alan_Bean', 'timeInSpace', '100305.0minutes'), ('United_States', 'type', 'Location'), ('Alan_Bean', 'type', 'Eukaryote'), ('Wheeler,_Texas', 'type', 'City'), ('Alan_Bean', 'type', 'Astronaut'), ('United_States', 'type', 'Country'), ('Wheeler,_Texas', 'type', 'Location')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'RallyDriver': {'label': 'rally driver', 'comment': '-'}, 'NascarDriver': {'label': 'nascar driver', 'comment': '-'}, 'SpeedwayRider': {'label': 'speedway rider', 'comment': '-'}, 'RacingDriver': {'label': 'racing driver', 'comment': '-'}, 'SpeedSkater': {'label': 'speed skater', 'comment': '-'}, 'SpeedwayTeam': {'label': 'speedway team', 'comment': '-'}, 'Comedian': {'label': 'comedian', 'comment': '-'}, 'Ski_jumper': {'label': 'ski jumper', 'comment': '-'}, 'GolfPlayer': {'label': 'golf player', 'comment': '-'}, 'PoliceOfficer': {'label': 'Police Officer', 'comment': '-'}} Available Properties: {'careerPoints': {'label': 'career points', 'description': 'No description available DataTypeProperty'}, 'chairman': {'label': 'id number', 'description': 'No description available DataTypeProperty'}, 'coExecutiveProducer': {'label': 'area water (m2)', 'description': 'No description available DataTypeProperty'}, 'computingInput': {'label': 'commissioner', 'description': 'No description available DataTypeProperty'}, 'draftPick': {'label': 'draft pick', 'description': 'No description available DataTypeProperty'}, 'draftPosition': {'label': 'draft position', 'description': 'No description available DataTypeProperty'}, 'executiveProducer': {'label': 'number of launches', 'description': 'No description available DataTypeProperty'}, 'fastestDriverTeam': {'label': 'MeSH name', 'description': 'No description available DataTypeProperty'}, 'founder': {'label': 'local phone prefix', 'description': 'No description available DataTypeProperty'}, 'keyPerson': {'label': 'number of all MuscialArtist playing the instrument', 'description': 'No description available DataTypeProperty'}, 'manufacturer': {'label': 'number of newly introduced sports', 'description': 'No description available DataTypeProperty'}, 'minorityFloorLeader': {'label': 'minority floor leader', 'description': 'number of office holder DataTypeProperty'}, 'minorityLeader': {'label': 'minority leader', 'description': 'number of office holder DataTypeProperty'}, 'owns': {'label': 'building end date', 'description': 'Building end date of an ArchitecturalStructure, man-made Lake, etc. For older structures this can be just a year or century, for newer structures an exact date is preferred DataTypeProperty'}, 'person': {'label': 'nfl code', 'description': 'No description available DataTypeProperty'}, 'poleDriver': {'label': 'nfl season', 'description': 'No description available DataTypeProperty'}, 'poleDriverCountry': {'label': 'NNDB id', 'description': 'No description available DataTypeProperty'}, 'poleDriverTeam': {'label': 'no contest', 'description': 'No description available DataTypeProperty'}, 'previousName': {'label': 'previous name', 'description': 'No description available DataTypeProperty'}, 'retired': {'label': 'nfl season', 'description': 'No description available DataTypeProperty'}, 'senior': {'label': 'city rank', 'description': 'Place of the building in the list of the highest buildings in the city DataTypeProperty'}, 'spokesperson': {'label': 'city rank', 'description': 'Place of the building in the list of the highest buildings in the city DataTypeProperty'}, 'statName': {'label': 'stat name', 'description': 'No description available DataTypeProperty'}} Subgraph:nanText: Roy D Chapin Jr is a key person at American Motors. bot:[('American_Motors_Corporation', 'keyPerson', 'Roy_D._Chapin_Jr.'), ('A', 'm', 'e')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'GolfLeague': {'label': 'golf league', 'comment': 'Golfplayer that compete against each other in Golf'}, 'VolleyballLeague': {'label': 'volleyball league', 'comment': 'A group of sports teams that compete against each other in volleyball.'}, 'RugbyLeague': {'label': 'rugby league', 'comment': 'A group of sports teams that compete against each other in rugby.'}, 'SportsLeague': {'label': 'sports league', 'comment': 'A group of sports teams or individual athletes that compete against each other in a specific sport.'}, 'Brewery': {'label': 'brewery', 'comment': '-'}, 'SoftballLeague': {'label': 'softball league', 'comment': 'A group of sports teams that compete against each other in softball.'}, 'BaseballLeague': {'label': 'baseball league', 'comment': 'a group of sports teams that compete against each other in Baseball.'}, 'GolfCourse': {'label': 'golf course', 'comment': 'In a golf course, holes often carry hazards, defined as special areas to which additional rules of the game apply.'}, 'CurlingLeague': {'label': 'curling league', 'comment': 'a group of sports teams that compete against each other in Curling'}, 'Lake': {'label': 'lake', 'comment': '-'}} Available Properties: {'administrativeDistrict': {'label': 'Number of revision per month', 'description': 'used for DBpedia History > Subject must be a blank node containing a dc:date and a rdfs:value DataTypeProperty'}, 'afdbId': {'label': 'afdb id', 'description': 'No description available DataTypeProperty'}, 'announcedFrom': {'label': 'number of platform levels', 'description': 'Number of levels of platforms at the station. DataTypeProperty'}, 'ceremonialCounty': {'label': 'UN/LOCODE', 'description': 'UN/LOCODE, the United Nations Code for Trade and Transport Locations, is a geographic coding scheme developed and maintained by United Nations Economic Commission for Europe (UNECE), a unit of the United Nations. UN/LOCODE assigns codes to locations used in trade and transport with functions such as seaports, rail and road terminals, airports, post offices and border crossing points. DataTypeProperty'}, 'cmykCoordinateMagenta': {'label': 'magenta coordinate in the CMYK space', 'description': 'No description available DataTypeProperty'}, 'cmykCoordinateYellow': {'label': 'yellow coordinate in the CMYK space', 'description': 'No description available DataTypeProperty'}, 'congressionalDistrict': {'label': 'reporting mark', 'description': 'A reporting mark is a two-, three-, or four-letter alphabetic code used to identify owners or lessees of rolling stock and other equipment used on the North American railroad network. DataTypeProperty'}, 'constituencyDistrict': {'label': 'income', 'description': 'No description available DataTypeProperty'}, 'county': {'label': 'INSEE code', 'description': 'numerical indexing code used by the French National Institute for Statistics and Economic Studies (INSEE) to identify various entities DataTypeProperty'}, 'countySeat': {'label': 'DosesFirst', 'description': 'Number of first vaccine doses. DataTypeProperty'}, 'district': {'label': 'hip size (μ)', 'description': 'No description available DataTypeProperty'}, 'draft': {'label': 'nfl season', 'description': 'No description available DataTypeProperty'}, 'draftLeague': {'label': 'draft league', 'description': 'No description available DataTypeProperty'}, 'draftPick': {'label': 'draft pick', 'description': 'No description available DataTypeProperty'}, 'isPartOf': {'label': 'orbital inclination', 'description': 'orbital inclination of a stable orbit DataTypeProperty'}, 'jstor': {'label': 'JSTOR', 'description': 'JSTOR number (short for Journal Storage) is a United States-based online system number for archiving academic journals. DataTypeProperty'}, 'locatedInArea': {'label': 'mount', 'description': 'creature ridden by the subject, for instance a horse DataTypeProperty'}, 'monarch': {'label': 'demolition date', 'description': 'The date the building was demolished. DataTypeProperty'}, 'nflCode': {'label': 'nfl code', 'description': 'No description available DataTypeProperty'}, 'nflSeason': {'label': 'nfl season', 'description': 'No description available DataTypeProperty'}, 'sourceDistrict': {'label': 'coast line (μ)', 'description': 'No description available DataTypeProperty'}, 'superTribus': {'label': 'long distance piste number', 'description': 'No description available DataTypeProperty'}, 'whaDraft': {'label': 'wha draft', 'description': 'No description available DataTypeProperty'}} Subgraph:nanText: Auburn is part of King County, Washington. bot:[('Auburn,_Washington', 'isPartOf', 'King_County,_Washington'), ('Auburn,_Washington', 'type', 'Location')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'RallyDriver': {'label': 'rally driver', 'comment': '-'}, 'AmateurBoxer': {'label': 'amateur boxer', 'comment': '-'}, 'Boxer': {'label': 'boxer', 'comment': '-'}, 'AmericanLeader': {'label': 'American Leader', 'comment': '-'}, 'AthleticsPlayer': {'label': 'athletics player', 'comment': '-'}, 'BaseballPlayer': {'label': 'baseball player', 'comment': '-'}, 'AmericanFootballPlayer': {'label': 'american football player', 'comment': '-'}, 'River': {'label': 'river', 'comment': 'a large natural stream'}, 'Athlete': {'label': 'athlete', 'comment': '-'}, 'Astronaut': {'label': 'astronaut', 'comment': '-'}} Available Properties: {'author': {'label': 'green long distance piste number', 'description': 'No description available DataTypeProperty'}, 'battle': {'label': 'ICD1', 'description': 'No description available DataTypeProperty'}, 'birthName': {'label': 'birth name', 'description': 'full name of a person at birth, if different from their current, generally used name DataTypeProperty'}, 'birthPlace': {'label': 'Bioavailability', 'description': '"The rate and extent to which the active ingredient or active moiety is absorbed from a drug product and becomes available at the site of action. For drug products that are not intended to be absorbed into the bloodstream, bioavailability may be assessed by measurements intended to reflect the rate and extent to which the active ingredient or active moiety becomes available at the site of action (21CFR320.1)." DataTypeProperty'}, 'cemetery': {'label': 'canonized date', 'description': 'No description available DataTypeProperty'}, 'codeMemorial': {'label': 'memorial ID number', 'description': 'Identifier for monuments of the Memorial type DataTypeProperty'}, 'colonialName': {'label': 'colonial name', 'description': 'No description available DataTypeProperty'}, 'commander': {'label': 'imposed danse score', 'description': 'No description available DataTypeProperty'}, 'deadInFightDate': {'label': 'dead in fight date', 'description': 'No description available DataTypeProperty'}, 'deadInFightPlace': {'label': 'dead in fight place', 'description': 'No description available DataTypeProperty'}, 'deathPlace': {'label': 'dress code', 'description': 'The recommended dress code for an establishment or event. DataTypeProperty'}, 'deaths': {'label': 'age range', 'description': 'Age range of students admitted in a School, MilitaryUnit, etc DataTypeProperty'}, 'enemy': {'label': 'quote', 'description': 'No description available DataTypeProperty'}, 'formerBandMember': {'label': 'last flight start date', 'description': 'No description available DataTypeProperty'}, 'inCemetery': {'label': 'weight (kg)', 'description': 'No description available DataTypeProperty'}, 'livingPlace': {'label': 'temperature (K)', 'description': 'No description available DataTypeProperty'}, 'location': {'label': 'currency code', 'description': 'ISO 4217 currency designators. DataTypeProperty'}, 'locationCity': {'label': 'date of latest election', 'description': 'No description available DataTypeProperty'}, 'musicType': {'label': 'main islands', 'description': 'No description available DataTypeProperty'}, 'opponent': {'label': 'bicycle information', 'description': "Information on station's bicycle facilities. DataTypeProperty"}, 'placeOfBurial': {'label': 'depth (μ)', 'description': 'Is a measure of the distance between a reference height and a point underneath. The exact meaning for a place is unclear. If possible, use or to be unambiguous. DataTypeProperty'}, 'secondCommander': {'label': 'Number Of Capital Deputies', 'description': 'No description available DataTypeProperty'}, 'thirdCommander': {'label': 'number of films', 'description': 'No description available DataTypeProperty'}, 'type': {'label': 'other wins', 'description': 'No description available DataTypeProperty'}, 'voiceType': {'label': 'EntrezGene', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Atlantic_Ocean', 'nearestCity', 'Libreville'], ['Albert_I_of_Germany', 'predecessor', 'Adolf,_King_of_Germany'], ['Atlantic_Ocean', 'nearestCity', 'Sligo'], ['Atlantic_Ocean', 'nearestCity', 'New_York_City'], ['Atlantic_Ocean', 'nearestCity', 'Vigo'], ['Abraham_Lincoln', 'child', 'Edward_Baker_Lincoln'], ['James_II_of_England', 'child', 'Isabel_Stuart'], ['Albert_II,_Duke_of_Austria', 'child', 'Rudolf_IV,_Duke_of_Austria'], ['Catherine_of_Austria,_Duchess_of_Calabria', 'parent', 'Albert_I_of_Germany'], ['Elisabeth_of_Austria,_Duchess_of_Lorraine', 'parent', 'Albert_I_of_Germany'], ['Anne_of_Austria,_Margravine_of_Brandenburg', 'child', 'John_V,_Margrave_of_Brandenburg-Salzwedel'], ['Albert_I_of_Germany', 'child', 'Elisabeth_of_Austria,_Duchess_of_Lorraine'], ['Atlantic_Ocean', 'nearestCity', 'Florianópolis'], ['Lincoln_Tomb', 'location', 'Springfield,_Illinois'], ['Albert_I_of_Germany', 'child', 'Frederick_the_Fair'], ['Albert_I_of_Germany', 'child', 'Otto,_Duke_of_Austria'], ['United_States', 'ethnicGroup', 'African_Americans'], ['Albert_I_of_Germany', 'child', 'Henry_the_Gentle'], ['United_States', 'ethnicGroup', 'Asian_Americans'], ['Atlantic_Ocean', 'nearestCity', 'Porto'], ['James_II_of_England', 'child', 'Louisa_Maria_Stuart'], ['United_States', 'house', 'United_States_House_of_Representatives'], ['Atlantic_Ocean', 'nearestCity', 'Bata,_Equatorial_Guinea'], ['Atlantic_Ocean', 'nearestCity', 'Pointe-Noire'], ['United_States', 'ethnicGroup', 'Multiracial_Americans'], ['Agnes_of_Austria_(1281–1364)', 'parent', 'Elisabeth_of_Tirol'], ['Albert_II,_Duke_of_Austria', 'child', 'Albert_III,_Duke_of_Austria'], ['Atlantic_Ocean', 'nearestCity', 'Galway'], ['Atlantic_Ocean', 'island', 'List_of_islands_in_the_Atlantic_Ocean'], ['United_States', 'ethnicGroup', 'Native_Americans_in_the_United_States'], ['United_States', 'ethnicGroup', 'Hispanic_and_Latino_Americans'], ['Robert_Todd_Lincoln', 'deathPlace', 'Manchester_(town),_Vermont'], ['Otto,_Duke_of_Austria', 'parent', 'Elizabeth_of_Carinthia,_Queen_of_Germany'], ['Atlantic_Ocean', 'nearestCity', 'Cape_Town'], ['Edward_Baker_Lincoln', 'birthPlace', 'Springfield,_Illinois'], ['Otto,_Duke_of_Austria', 'parent', 'Albert_I_of_Germany'], ['Frederick_the_Fair', 'child', 'Anne_of_Austria,_Duchess_of_Bavaria'], ['Atlantic_Ocean', 'nearestCity', 'Salvador,_Bahia'], ['Elisabeth_of_Austria,_Duchess_of_Lorraine', 'child', 'Rudolph,_Duke_of_Lorraine'], ['Atlantic_Ocean', 'country', 'List_of_ports_and_harbours_of_the_Atlantic_Ocean'], ['Atlantic_Ocean', 'nearestCity', 'Wilmington,_North_Carolina'], ['Gertrude_of_Hohenberg', 'child', 'Hedwig_of_Habsburg'], ['Atlantic_Ocean', 'nearestCity', 'Rabat'], ['Atlantic_Ocean', 'nearestCity', 'Atlantic_City'], ['Abraham_Lincoln', 'deathPlace', 'Washington,_D.C.'], ['Atlantic_Ocean', 'nearestCity', 'Aracaju'], ['Atlantic_Ocean', 'nearestCity', 'Dakar'], ['Albert_II,_Duke_of_Austria', 'spouse', 'Johanna_of_Pfirt'], ['New_York_City', 'timeZone', 'Eastern_Time_Zone'], ['Atlantic_Ocean', 'nearestCity', 'Montevideo'], ['Albert_II,_Duke_of_Austria', 'parent', 'Albert_I_of_Germany'], ['Atlantic_Ocean', 'nearestCity', 'Casablanca'], ['United_States', 'largestCity', 'New_York_City'], ['Atlantic_Ocean', 'nearestCity', 'Freetown'], ['Frederick_the_Fair', 'spouse', 'Isabella_of_Aragon,_Queen_of_Germany'], ['Albert_I_of_Germany', 'child', 'Agnes_of_Austria_(1281–1364)'], ['Atlantic_Ocean', 'nearestCity', 'Luanda'], ['Otto,_Duke_of_Austria', 'spouse', 'Anne_of_Bohemia,_Duchess_of_Austria'], ['Atlantic_Ocean', 'nearestCity', 'Maceió'], ['Anne_of_Austria,_Margravine_of_Brandenburg', 'spouse', 'Herman,_Margrave_of_Brandenburg-Salzwedel'], ['Anne_of_Austria,_Margravine_of_Brandenburg', 'parent', 'Albert_I_of_Germany'], ['United_States', 'house', 'United_States_Senate'], ['Abraham_Lincoln', 'child', 'Tad_Lincoln'], ['Albert_I_of_Germany', 'child', 'Rudolph_I_of_Bohemia'], ['American_Civil_War', 'place', 'Atlantic_Ocean'], ['Gertrude_of_Hohenberg', 'child', 'Judith_of_Habsburg'], ['Anne_of_Austria,_Margravine_of_Brandenburg', 'spouse', 'Henry_VI_the_Good'], ['Albert_I_of_Germany', 'child', 'Anne_of_Austria,_Margravine_of_Brandenburg'], ['Leopold_I,_Duke_of_Austria', 'parent', 'Elisabeth_of_Gorizia-Tyrol'], ['New_York_City', 'namedAfter', 'James_II_of_England'], ['Atlantic_Ocean', 'nearestCity', 'Vitória,_Espírito_Santo'], ['Atlantic_Ocean', 'nearestCity', 'Rio_de_Janeiro'], ['Atlantic_Ocean', 'nearestCity', 'Daytona_Beach,_Florida'], ['Albert_I_of_Germany', 'parent', 'Gertrude_of_Hohenberg'], ['American_Civil_War', 'territory', 'Confederate_States_of_America'], ['Atlantic_Ocean', 'nearestCity', 'Tangier'], ['Atlantic_Ocean', 'nearestCity', 'A_Coruña'], ['Abraham_Lincoln', 'birthPlace', 'Hodgenville,_Kentucky'], ['American_Civil_War', 'place', 'United_States'], ['Catherine_of_Austria,_Duchess_of_Calabria', 'parent', 'Elisabeth_of_Tirol'], ['Elisabeth_of_Austria,_Duchess_of_Lorraine', 'parent', 'Elisabeth_of_Tirol'], ['William_Wallace_Lincoln', 'deathPlace', 'Washington,_D.C.'], ['Atlantic_Ocean', 'nearestCity', "St._John's,_Newfoundland_and_Labrador"], ['Elisabeth_of_Austria,_Duchess_of_Lorraine', 'spouse', 'Frederick_IV,_Duke_of_Lorraine'], ['Catherine_of_Austria,_Duchess_of_Calabria', 'spouse', 'Charles,_Duke_of_Calabria'], ['Atlantic_Ocean', 'nearestCity', 'Banjul'], ['William_Wallace_Lincoln', 'birthPlace', 'Springfield,_Illinois'], ['Abraham_Lincoln', 'child', 'William_Wallace_Lincoln'], ['Abraham_Lincoln', 'restingPlace', 'Lincoln_Tomb'], ['Atlantic_Ocean', 'nearestCity', 'Conakry'], ['Atlantic_Ocean', 'nearestCity', 'Virginia_Beach,_Virginia'], ['Atlantic_Ocean', 'nearestCity', 'Charleston,_South_Carolina'], ['James_II_of_England', 'child', 'Henry_FitzJames'], ['Abraham_Lincoln', 'child', 'Robert_Todd_Lincoln'], ['Frederick_the_Fair', 'parent', 'Elizabeth_of_Carinthia'], ['Albert_II,_Duke_of_Austria', 'parent', 'Elizabeth_of_Carinthia,_Queen_of_Germany'], ['Atlantic_Ocean', 'nearestCity', 'Recife'], ['Albert_I_of_Germany', 'child', 'Leopold_I,_Duke_of_Austria'], ['United_States', 'ethnicGroup', 'White_Americans'], ['Atlantic_Ocean', 'nearestCity', 'Palm_Beach,_Florida'], ['James_II_of_England', 'child', 'Mary_II_of_England'], ['Albert_I_of_Germany', 'successor', 'Henry_VII,_Holy_Roman_Emperor'], ['Agnes_of_Austria_(1281–1364)', 'parent', 'Albert_I_of_Germany'], ['Albert_II,_Duke_of_Austria', 'child', 'Leopold_III,_Duke_of_Austria'], ['Atlantic_Ocean', 'nearestCity', 'Monrovia'], ['United_States', 'ethnicGroup', 'Pacific_Islander_Americans'], ['Lincoln_Tomb', 'location', 'Oak_Ridge_Cemetery'], ['Atlantic_Ocean', 'nearestCity', 'Bahía_Blanca'], ['James_II_of_England', 'child', 'Catherine_Sheffield,_Duchess_of_Buckingham_and_Normanby'], ['Atlantic_Ocean', 'nearestCity', 'Swakopmund'], ['Robert_Todd_Lincoln', 'birthPlace', 'Springfield,_Illinois'], ['Confederate_States_of_America', 'largestCity', 'Capture_of_New_Orleans'], ['New_York_City', 'country', 'United_States'], ['Frederick_the_Fair', 'parent', 'Albert_I_of_Germany'], ['Albert_I_of_Germany', 'child', 'Albert_II,_Duke_of_Austria'], ['Atlantic_Ocean', 'nearestCity', 'Cabinda_City'], ['Atlantic_Ocean', 'nearestCity', 'Malabo'], ['Atlantic_Ocean', 'nearestCity', 'Benguela'], ['Atlantic_Ocean', 'nearestCity', 'Mar_del_Plata'], ['Gertrude_of_Hohenberg', 'child', 'Agnes_of_Habsburg'], ['Atlantic_Ocean', 'country', 'List_of_countries_and_territories_bordering_the_Atlantic_Ocean'], ['Atlantic_Ocean', 'nearestCity', 'Halifax,_Nova_Scotia'], ['Atlantic_Ocean', 'nearestCity', 'Nouakchott'], ['Gertrude_of_Hohenberg', 'child', 'Rudolf_II,_Duke_of_Austria'], ['United_States', 'ethnicGroup', 'Race_and_ethnicity_in_the_United_States_census'], ['Atlantic_Ocean', 'nearestCity', 'Miami'], ['James_II_of_England', 'child', 'James_Francis_Edward_Stuart'], ['Otto,_Duke_of_Austria', 'spouse', 'Elizabeth_of_Bavaria,_Duchess_of_Austria'], ['Albert_I_of_Germany', 'child', 'Catherine_of_Austria,_Duchess_of_Calabria'], ['James_II_of_England', 'child', 'Henrietta_FitzJames'], ['Atlantic_Ocean', 'nearestCity', 'Boston,_Massachusetts'], ['Leopold_I,_Duke_of_Austria', 'parent', 'Albert_I_of_Germany'], ['Agnes_of_Austria_(1281–1364)', 'spouse', 'Andrew_III_of_Hungary'], ['James_II_of_England', 'child', 'James_FitzJames,_1st_Duke_of_Berwick'], ['Atlantic_Ocean', 'nearestCity', 'Lagos'], ['Albert_II,_Duke_of_Austria', 'child', 'Frederick_III,_Duke_of_Austria'], ['Albert_I_of_Germany', 'spouse', 'Elizabeth_of_Carinthia'], ['Tad_Lincoln', 'birthPlace', 'Springfield,_Illinois'], ['Tad_Lincoln', 'deathPlace', 'Chicago'], ['Gertrude_of_Hohenberg', 'child', 'Albert_I_of_Germany'], ['Anne_of_Austria,_Margravine_of_Brandenburg', 'parent', 'Elisabeth_of_Tirol'], ['Atlantic_Ocean', 'nearestCity', 'Buenos_Aires'], ['Atlantic_Ocean', 'nearestCity', 'Lisbon'], ['Confederate_States_of_America', 'largestCity', 'New_Orleans'], ['Gertrude_of_Hohenberg', 'child', 'Matilda_of_Habsburg'], ['James_II_of_England', 'child', 'Anne,_Queen_of_Great_Britain'], ['Gertrude_of_Hohenberg', 'child', 'Clementia_of_Habsburg'], ['Atlantic_Ocean', 'nearestCity', 'Reykjavík'], ['Albert_I_of_Germany', 'parent', 'Rudolph_I_of_Germany']]Text: Albert Jennings Fountain was born in New York and he died in Dona Ana County, New Mexico. He fought fought in the American Civil War which was where Abraham Lincoln was a commander. bot:[('Albert_Jennings_Fountain', 'battle', 'American_Civil_War'), ('Albert_Jennings_Fountain', 'birthPlace', 'New_York'), ('American_Civil_War', 'commander', 'Abraham_Lincoln'), ('A', 'd', 'm'), ('Albert_Jennings_Fountain', 'deathPlace', 'Doña_Ana_County,_New_Mexico'), ('Doña_Ana_County,_New_Mexico', 'type', 'AdministrativeRegion'), ('Albert_Jennings_Fountain', 'type', 'Eukaryote'), ('American_Civil_War', 'type', 'Event'), ('American_Civil_War', 'type', 'MilitaryConflict'), ('Abraham_Lincoln', 'type', 'Eukaryote'), ('Abraham_Lincoln', 'type', 'Politician'), ('Albert_Jennings_Fountain', 'type', 'Person')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'EthnicGroup': {'label': 'ethnic group', 'comment': '-'}, 'Race': {'label': 'race', 'comment': '-'}, 'AmericanFootballTeam': {'label': 'american football Team', 'comment': '-'}, 'Demographics': {'label': 'demographics', 'comment': 'Population of a place. Uses these properties: populationTotal, year (when measured, populationYear), rank (sortOrder of this place amongst its siblings at the same level), name (areal measured by the population, eg: "locality", "municipality" or "comitat")'}, 'Group': {'label': 'group', 'comment': 'An (informal) group of people.'}, 'AmericanLeader': {'label': 'American Leader', 'comment': '-'}, 'AmericanFootballPlayer': {'label': 'american football player', 'comment': '-'}, 'AmericanFootballLeague': {'label': 'american football league', 'comment': 'A group of sports teams that compete against each other in american football.'}, 'Family': {'label': 'family', 'comment': 'A group of people related by common descent, a lineage.'}, 'BasketballTeam': {'label': 'basketball team', 'comment': '-'}} Available Properties: {'bloodGroup': {'label': 'blood group', 'description': 'No description available DataTypeProperty'}, 'demographics': {'label': 'licence number', 'description': 'No description available DataTypeProperty'}, 'demographicsAsOf': {'label': 'demographics as of', 'description': 'No description available DataTypeProperty'}, 'ethnicGroup': {'label': 'election date leader', 'description': 'The date that leader was elected. DataTypeProperty'}, 'ethnicGroupsInYear': {'label': 'ethnic groups in year', 'description': 'No description available DataTypeProperty'}, 'ethnicity': {'label': 'school number', 'description': 'No description available DataTypeProperty'}, 'minorityLeader': {'label': 'minority leader', 'description': 'number of office holder DataTypeProperty'}, 'musicType': {'label': 'main islands', 'description': 'No description available DataTypeProperty'}, 'nationality': {'label': 'national tournament bronze', 'description': 'No description available DataTypeProperty'}, 'race': {'label': 'displacement (g)', 'description': "A ship's displacement is its mass at any given time. DataTypeProperty"}, 'races': {'label': 'licence number', 'description': 'No description available DataTypeProperty'}, 'type': {'label': 'other wins', 'description': 'No description available DataTypeProperty'}, 'voiceType': {'label': 'EntrezGene', 'description': 'No description available DataTypeProperty'}} Subgraph:[['African_Americans', 'religion', 'Protestant'], ['Gullah_language', 'spokenIn', 'United_States'], ['Gullah_language', 'languageFamily', 'Bahamian_Creole'], ['American_English', 'spokenIn', 'United_States'], ['African_Americans', 'language', 'American_English'], ['American_English', 'languageFamily', 'Anglo-Frisian_languages'], ['African_Americans', 'language', 'African-American_English'], ['American_English', 'languageFamily', 'North_Sea_Germanic'], ['Gullah_language', 'spokenIn', 'Georgia_(U.S._state)'], ['African_Americans', 'religion', 'Mainline_Protestant'], ['American_English', 'languageFamily', 'Germanic_languages'], ['African_Americans', 'populationPlace', 'Southern_United_States'], ['African_Americans', 'language', 'Gullah_language'], ['African_Americans', 'language', 'Louisiana_Creole_French'], ['African_Americans', 'religion', 'Evangelical_Protestant'], ['American_English', 'languageFamily', 'West_Germanic_languages'], ['Gullah_language', 'languageFamily', 'English-based_creole_languages'], ['African_Americans', 'populationPlace', 'List_of_United_States_urban_areas'], ['Gullah_language', 'spokenIn', 'South_Carolina']]Text: African Americans are an ethnic group in the U.S. bot:[('United_States', 'ethnicGroup', 'African_Americans'), ('African_Americans', 'type', 'EthnicGroup'), ('United_States', 'type', 'Country'), ('United_States', 'type', 'Location')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'AmericanLeader': {'label': 'American Leader', 'comment': '-'}, 'CollegeCoach': {'label': 'college coach', 'comment': '-'}, 'Deanery': {'label': 'deanery', 'comment': 'The intermediate level of a clerical administrative body between parish and diocese'}, 'Tenure': {'label': 'tenure', 'comment': '-'}, 'Senator': {'label': 'senator', 'comment': '-'}, 'Deputy': {'label': 'deputy', 'comment': '-'}, 'Scientist': {'label': 'scientist', 'comment': '-'}, 'Biologist': {'label': 'biologist', 'comment': '-'}, 'Sculptor': {'label': 'sculptor', 'comment': '-'}, 'Governor': {'label': 'governor', 'comment': '-'}} Available Properties: {'ConveyorSystem/diameter': {'label': 'case', 'description': 'No description available DataTypeProperty'}, 'Escalator/diameter': {'label': 'local phone prefix', 'description': 'No description available DataTypeProperty'}, 'MeanOfTransportation/diameter': {'label': 'start date', 'description': 'The start date of the event. DataTypeProperty'}, 'MovingWalkway/diameter': {'label': 'episode number', 'description': 'The episode number of the TelevisionEpisode. DataTypeProperty'}, 'On-SiteTransportation/diameter': {'label': 'atomic weight', 'description': 'the ratio of the average mass of atoms of an element (from a single given sample or source) to 1⁄12 of the mass of an atom of carbon-12 DataTypeProperty'}, '_diameter': {'label': 'local phone prefix', 'description': 'No description available DataTypeProperty'}, 'academicAdvisor': {'label': 'Dutch PPN code', 'description': "Dutch Winkel ID is a code for an underground publication, as attributed by Lydia Winkel's work on the underground WW II press in the Netherlands. DataTypeProperty"}, 'author': {'label': 'green long distance piste number', 'description': 'No description available DataTypeProperty'}, 'ceo': {'label': 'episode number', 'description': 'The episode number of the TelevisionEpisode. DataTypeProperty'}, 'chief': {'label': 'case', 'description': 'No description available DataTypeProperty'}, 'deanery': {'label': 'price ($)', 'description': 'The price of something, eg a journal. For "total money earned by an Athlete" use gross DataTypeProperty'}, 'diameter': {'label': 'diameter (μ)', 'description': 'No description available DataTypeProperty'}, 'founder': {'label': 'local phone prefix', 'description': 'No description available DataTypeProperty'}, 'governorGeneral': {'label': 'start date', 'description': 'The start date of the event. DataTypeProperty'}, 'heir': {'label': 'displacement (cc)', 'description': 'No description available DataTypeProperty'}, 'predecessor': {'label': 'original maximum boat beam (μ)', 'description': 'No description available DataTypeProperty'}, 'prefaceBy': {'label': 'free flight time (μ)', 'description': 'No description available DataTypeProperty'}, 'relativeAtomicMass': {'label': 'atomic weight', 'description': 'the ratio of the average mass of atoms of an element (from a single given sample or source) to 1⁄12 of the mass of an atom of carbon-12 DataTypeProperty'}, 'scale': {'label': 'atomic weight', 'description': 'the ratio of the average mass of atoms of an element (from a single given sample or source) to 1⁄12 of the mass of an atom of carbon-12 DataTypeProperty'}, 'scaleFactor': {'label': 'scale factor', 'description': 'Scale factor (ex: for images) to zoom out (value > 1) or reduce (0 < value < 1) the proportions. Decimal numbers use dot séparator; ex : 0.75 DataTypeProperty'}, 'successor': {'label': 'other name', 'description': 'No description available DataTypeProperty'}, 'superintendent': {'label': 'document number', 'description': 'Identification a document within a particular registry DataTypeProperty'}} Subgraph:[['Alfred_Moore_Scales', 'militaryService', 'Alfred_Moore_Scales__MilitaryService__1'], ['Alfred_Moore_Scales', 'termPeriod', 'Alfred_Moore_Scales__Tenure__2'], ['Alfred_Moore_Scales__Tenure__1', 'lieutenant', 'Charles_M._Stedman'], ['Alfred_Moore_Scales', 'almaMater', 'University_of_North_Carolina,_Chapel_Hill'], ['Alfred_Moore_Scales__MilitaryService__1', 'militaryRank', 'Brigadier_General_(CSA)'], ['Alfred_Moore_Scales', 'termPeriod', 'Alfred_Moore_Scales__Tenure__3'], ['Alfred_Moore_Scales', 'termPeriod', 'Alfred_Moore_Scales__Tenure__1']]Text: The successor to Alfred Moore Scales was James Madison Leach. bot:[('Alfred_Moore_Scales', 'successor', 'James_Madison_Leach'), ('Alfred_Moore_Scales', 'type', 'Eukaryote')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'ComicsCreator': {'label': 'comics creator', 'comment': '-'}, 'ComicsCharacter': {'label': 'comics character', 'comment': '-'}, 'DisneyCharacter': {'label': 'disney character', 'comment': '-'}, 'Comic': {'label': 'comic', 'comment': '-'}, 'FictionalCharacter': {'label': 'fictional character', 'comment': '-'}, 'HollywoodCartoon': {'label': 'hollywood cartoon', 'comment': '-'}, 'ComicStrip': {'label': 'comic strip', 'comment': '-'}, 'Cartoon': {'label': 'cartoon', 'comment': '-'}, 'ScreenWriter': {'label': 'screenwriter', 'comment': '-'}, 'Manga': {'label': 'manga', 'comment': 'Manga are comics created in Japan'}} Available Properties: {'comic': {'label': 'campus type', 'description': 'No description available DataTypeProperty'}, 'countryOrigin': {'label': 'number of licensed', 'description': 'nombre de personnes ayant une license pour pratiquer cette activité DataTypeProperty'}, 'countryWithFirstAstronaut': {'label': 'hairs', 'description': 'No description available DataTypeProperty'}, 'created': {'label': 'distance to Charing Cross (μ)', 'description': 'No description available DataTypeProperty'}, 'creator': {'label': 'fauna', 'description': 'No description available DataTypeProperty'}, 'ethnicity': {'label': 'school number', 'description': 'No description available DataTypeProperty'}, 'executiveProducer': {'label': 'number of launches', 'description': 'No description available DataTypeProperty'}, 'firstAppearance': {'label': 'first appearance', 'description': 'work in which a fictional/mythical character or entity first appeared DataTypeProperty'}, 'founder': {'label': 'local phone prefix', 'description': 'No description available DataTypeProperty'}, 'hairColor': {'label': 'hair color', 'description': "person's hair color. Use P585 as qualifier if there's more than one value DataTypeProperty"}, 'hairColour': {'label': 'hair colour', 'description': 'No description available DataTypeProperty'}, 'headChef': {'label': 'minimum inclination', 'description': 'No description available DataTypeProperty'}, 'mainCharacter': {'label': 'volume (μ³)', 'description': 'No description available DataTypeProperty'}, 'musicType': {'label': 'main islands', 'description': 'No description available DataTypeProperty'}, 'nationality': {'label': 'national tournament bronze', 'description': 'No description available DataTypeProperty'}, 'originalName': {'label': 'original name', 'description': 'The original name of the entity, e.g. film, settlement, etc. DataTypeProperty'}, 'portrayer': {'label': 'US sales', 'description': 'Number of things (eg vehicles) sold in the US DataTypeProperty'}, 'type': {'label': 'other wins', 'description': 'No description available DataTypeProperty'}, 'voiceType': {'label': 'EntrezGene', 'description': 'No description available DataTypeProperty'}} Subgraph:[['National_Medal_of_Arts', 'presenter', 'President_of_the_United_States'], ['Stan_Lee', 'award', 'National_Medal_of_Arts'], ['Stan_Lee', 'award', 'Disney_Legends'], ['Stan_Lee', 'award', 'Jack_Kirby_Hall_of_Fame'], ['National_Medal_of_Arts', 'country', 'United_States'], ['Stan_Lee', 'award', 'The_Will_Eisner_Award_Hall_of_Fame']]Text: Stan Lee and American Jack Kirby created the comic character Balder. bot:[('Balder_comicsCharacter', 'creator', 'Jack_Kirby'), ('Balder_comicsCharacter', 'creator', 'Stan_Lee'), ('Jack_Kirby', 'nationality', 'Americans'), ('Stan_Lee', 'type', 'ComicsCreator'), ('Americans', 'type', 'EthnicGroup'), ('Stan_Lee', 'type', 'Eukaryote')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'SoccerManager': {'label': 'soccer manager', 'comment': '-'}, 'GridironFootballPlayer': {'label': 'gridiron football player', 'comment': 'Gradiron football, also called North American football, is a family of soccer team games played primarily in the United States and Canada.'}, 'NationalSoccerClub': {'label': 'national soccer club', 'comment': '-'}, 'CanadianFootballPlayer': {'label': 'canadian football Player', 'comment': '-'}, 'AmericanFootballPlayer': {'label': 'american football player', 'comment': '-'}} Available Properties: {'appearancesInLeague': {'label': 'appearances in league', 'description': 'No description available DataTypeProperty'}, 'appearancesInNationalTeam': {'label': 'appearances in national team', 'description': 'No description available DataTypeProperty'}, 'board': {'label': 'serving size (g)', 'description': 'Default serving size (eg "100 g" for the standard 100 g serving size). approximateCalories apply to this serving size DataTypeProperty'}, 'club': {'label': 'number of live albums', 'description': 'the number of live albums released by the musical artist DataTypeProperty'}, 'currentLeague': {'label': 'distance to London (μ)', 'description': 'No description available DataTypeProperty'}, 'currentTeamManager': {'label': 'year of first ascent', 'description': 'No description available DataTypeProperty'}, 'defeatAsMgr': {'label': 'defeat as team manager', 'description': 'No description available DataTypeProperty'}, 'formerTeam': {'label': 'mill dissapeared code NL', 'description': 'No description available DataTypeProperty'}, 'generalManager': {'label': 'fuel capacity (μ³)', 'description': 'No description available DataTypeProperty'}, 'league': {'label': 'number of neighbourhood', 'description': 'No description available DataTypeProperty'}, 'leagueManager': {'label': 'minimum temperature (K)', 'description': 'No description available DataTypeProperty'}, 'manager': {'label': 'type of municipality', 'description': 'No description available DataTypeProperty'}, 'managerClub': {'label': 'Gray subject', 'description': "Refers to the famous 1918 edition of Gray's Anatomy. DataTypeProperty"}, 'seasonManager': {'label': 'season manager', 'description': 'No description available DataTypeProperty'}, 'soccerLeagueWinner': {'label': 'Amsterdam Code', 'description': 'No description available DataTypeProperty'}, 'teamManager': {'label': 'blue ski piste number', 'description': 'No description available DataTypeProperty'}, 'victoryAsMgr': {'label': 'victory as manager', 'description': 'No description available DataTypeProperty'}, 'youthClub': {'label': 'flag caption', 'description': 'No description available DataTypeProperty'}, 'youthWing': {'label': 'BIBSYS Id', 'description': 'BIBSYS is a supplier of library and information systems for all Norwegian university Libraries, the National Library of Norway, college libraries, and a number of research libraries and institutions. DataTypeProperty'}} Subgraph:[array(['Steve_Bruce', 'team', 'Manchester_United_F.C.'], dtype=object) array(['Steve_Bruce', 'managerClub', 'Huddersfield_Town_A.F.C.'], dtype=object) array(['Steve_Bruce', 'managerClub', 'Sunderland_A.F.C.'], dtype=object) array(['Steve_Bruce', 'managerClub', 'Aston_Villa_F.C.'], dtype=object) array(['Asian_Football_Confederation', 'parentOrganisation', 'FIFA'], dtype=object) array(['Steve_Bruce', 'team', 'England_national_football_B_team'], dtype=object) array(['Steve_Bruce', 'team', 'Birmingham_City_F.C.'], dtype=object) array(['Steve_Bruce', 'managerClub', 'Birmingham_City_F.C.'], dtype=object) array(['Steve_Bruce', 'team', 'Sheffield_United_F.C.'], dtype=object) array(['Association_football', 'equipment', 'Ball_(association_football)'], dtype=object) array(['Steve_Bruce', 'managerClub', 'Sheffield_United_F.C.'], dtype=object) array(['Steve_Bruce', 'team', 'Norwich_City_F.C.'], dtype=object) array(['Steve_Bruce', 'managerClub', 'Crystal_Palace_F.C.'], dtype=object) array(['Steve_Bruce', 'managerClub', 'Wigan_Athletic_F.C.'], dtype=object) array(['Steve_Bruce', 'team', 'England_national_under-18_football_team'], dtype=object) array(['England_national_under-18_football_team', 'coach', 'Neil_Ryan'], dtype=object) array(['Steve_Bruce', 'managerClub', 'Hull_City_A.F.C.'], dtype=object) array(['Association_football', 'equipment', 'Shinpad'], dtype=object) array(['Steve_Bruce', 'team', 'Gillingham_F.C.'], dtype=object)]Text: Steve Bruce is the manager of Hull City AFC, which is Abel Hernández's club. Hernández played youth football for Central Español which play in the Uruguayan Segunda División league. bot:[('Abel_Hernández', 'club', 'Hull_City_A.F.C.'), ('Central_Español', 'league', 'Uruguayan_Segunda_División'), ('Hull_City_A.F.C.', 'manager', 'Steve_Bruce'), ('Central_Español', 'type', 'SportsClub'), ('Hull_City_A.F.C.', 'type', 'SportsClub'), ('Abel_Hernández', 'type', 'Eukaryote'), ('Abel_Hernández', 'youthClub', 'Central_Español')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'Food': {'label': 'Food', 'comment': 'Food is any eatable or drinkable substance that is normally consumed by humans.'}, 'Prefecture': {'label': 'prefecture', 'comment': '-'}, 'Chef': {'label': 'chef', 'comment': 'a person who cooks professionally for other people'}, 'Mill': {'label': 'Mill', 'comment': 'a unit operation designed to break a solid material into smaller pieces'}, 'Blazon': {'label': 'Blazon', 'comment': '-'}, 'Windmill': {'label': 'Windmill', 'comment': 'A windmill is a machine that converts the energy of wind into rotational energy by means of vanes called sails'}, 'Swarm': {'label': 'Swarm', 'comment': '-'}, 'Manga': {'label': 'manga', 'comment': 'Manga are comics created in Japan'}, 'Restaurant': {'label': 'restaurant', 'comment': '-'}, 'Factory': {'label': 'factory', 'comment': 'A factory (previously manufactory) or manufacturing plant is an industrial site, usually consisting of buildings and machinery, or more commonly a complex having several buildings, where workers manufacture goods or operate machines processing one product into another.'}} Available Properties: {'boiler': {'label': 'MusicBrainz artist id', 'description': 'MusicBrainz artist. Applies to artists DataTypeProperty'}, 'brother': {'label': 'RefSeq', 'description': 'qualifier to specify Reference Sequence identifier for the Protein and RNA (either p637 or p639) DataTypeProperty'}, 'chef': {'label': 'event description', 'description': 'This is to describe the event that hapened here (in case there is no event resource to be linked to) DataTypeProperty'}, 'collectionSize': {'label': 'diseasesDb', 'description': 'No description available DataTypeProperty'}, 'country': {'label': 'eye colour', 'description': 'No description available DataTypeProperty'}, 'course': {'label': 'course (μ)', 'description': 'No description available DataTypeProperty'}, 'friend': {'label': 'total time person has spent in space (m)', 'description': 'No description available DataTypeProperty'}, 'governmentCountry': {'label': 'boiling point (K)', 'description': 'No description available DataTypeProperty'}, 'ingredient': {'label': 'lunar orbit time (s)', 'description': 'No description available DataTypeProperty'}, 'ingredientName': {'label': 'ingredient name (literal)', 'description': 'Main ingredient used to prepare a specific Food or Beverage. For strings use ingredientName, for objects use ingredient. DataTypeProperty'}, 'jureLanguage': {'label': 'circumcised', 'description': 'No description available DataTypeProperty'}, 'medication': {'label': 'victims (string)', 'description': 'Type, description, or name(s) of victims of a ConcentrationCamp, Criminal, SerialKiller, or some other atrocity DataTypeProperty'}, 'musicType': {'label': 'main islands', 'description': 'No description available DataTypeProperty'}, 'nameInMindongyuChinese': {'label': 'name in Mindongyu Chinese', 'description': 'No description available DataTypeProperty'}, 'nameInTraditionalChinese': {'label': 'name in Traditional Chinese', 'description': 'No description available DataTypeProperty'}, 'prefecture': {'label': 'total cargo (kg)', 'description': 'No description available DataTypeProperty'}, 'product': {'label': 'old name', 'description': 'No description available DataTypeProperty'}, 'relatedPlaces': {'label': 'cuisine', 'description': 'National cuisine of a Food or Restaurant DataTypeProperty'}, 'son': {'label': 'arrest date', 'description': 'No description available DataTypeProperty'}, 'type': {'label': 'other wins', 'description': 'No description available DataTypeProperty'}, 'typeOfGrain': {'label': 'type of grain (wheat etc.)', 'description': 'No description available DataTypeProperty'}, 'voiceType': {'label': 'EntrezGene', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Philippines', 'ethnicGroup', 'Ethnic_groups_in_the_Philippines'], ['Soup', 'ingredient', 'Juice'], ['Philippines', 'ethnicGroup', 'Bicolano_people'], ['Philippines', 'governmentType', 'Unitary_state'], ['Philippines', 'language', 'Filipino_Sign_Language'], ['Philippines', 'ethnicGroup', 'Visayans'], ['Philippines', 'ethnicGroup', 'Tagalog_people'], ['Filipino_Sign_Language', 'spokenIn', 'Philippines'], ['Philippines', 'currency', 'Philippine_peso'], ['Filipino_Sign_Language', 'languageFamily', 'American_Sign_Language'], ['Philippines', 'topLevelDomain', '.ph'], ['Soup', 'ingredient', 'Vegetable'], ['Philippines', 'ethnicGroup', 'Ilocano_people'], ['Philippines', 'largestCity', 'Quezon_City'], ['Soup', 'ingredient', 'Liquid'], ['Filipino_Sign_Language', 'languageFamily', 'French_Sign_Language_family'], ['Soup', 'ingredient', 'Meat']]Text: Batchoy is a soup dish from the Philippines and is made of noodles, pork organs, vegetables, chicken, shrimp and beef. bot:[('Batchoy', 'country', 'Philippines'), ('Batchoy', 'course', 'Soup'), ('Batchoy', 'ingredient', 'Noodle'), ('Batchoy', 'ingredient', 'noodles,_pork_organs,_vegetables,_chicken,_shrimp,_beef'), ('Soup', 'type', 'Food'), ('Noodle', 'type', 'Food'), ('Philippines', 'type', 'Location'), ('Batchoy', 'type', 'Food'), ('Philippines', 'type', 'Country')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'CelestialBody': {'label': 'celestial body', 'comment': '-'}, 'YearInSpaceflight': {'label': 'year in spaceflight', 'comment': '-'}, 'GeologicalPeriod': {'label': 'geological period', 'comment': '-'}, 'PrehistoricalPeriod': {'label': 'prehistorical period', 'comment': '-'}, 'SolarEclipse': {'label': 'solar eclipse', 'comment': '-'}, 'ProtohistoricalPeriod': {'label': 'protohistorical period', 'comment': '-'}, 'Asteroid': {'label': 'asteroid', 'comment': '-'}, 'Nebula': {'label': 'Nebula', 'comment': '-'}, 'Year': {'label': 'year', 'comment': '-'}, 'LunarCrater': {'label': 'lunar crater', 'comment': '-'}} Available Properties: {'Galaxy/apoapsis': {'label': 'minority floor leader', 'description': 'number of office holder DataTypeProperty'}, 'Planet/apoapsis': {'label': 'epoch', 'description': 'moment in time used as a referrence point for some time-vaying astronomical quantity DataTypeProperty'}, 'Spacecraft/apoapsis': {'label': 'cargo water (kg)', 'description': 'No description available DataTypeProperty'}, 'apoapsis': {'label': 'apoapsis (μ)', 'description': 'No description available DataTypeProperty'}, 'archipelago': {'label': 'project start date', 'description': 'The start date of the project. DataTypeProperty'}, 'astrologicalSign': {'label': 'minority floor leader', 'description': 'number of office holder DataTypeProperty'}, 'bodyDiscovered': {'label': 'monument protection status', 'description': "The sort of status that is granted to a protected Building or Monument. This is not about being protected or not, this is about the nature of the protection regime. E.g., in the Netherlands the protection status 'rijksmonument' points to more elaborate protection than other statuses. DataTypeProperty"}, 'countryWithFirstSatellite': {'label': 'handisport', 'description': 'No description available DataTypeProperty'}, 'countryWithFirstSatelliteLaunched': {'label': 'Has KML data associated with it (usually because of KML overlays)', 'description': 'No description available DataTypeProperty'}, 'creationYear': {'label': 'year of creation', 'description': 'No description available DataTypeProperty'}, 'discovered': {'label': 'discovery date', 'description': 'No description available DataTypeProperty'}, 'era': {'label': 'numberOfClasses', 'description': 'number of defined Classes DataTypeProperty'}, 'extinctionDate': {'label': 'extinction date', 'description': '!!! Do NOT use this property for non Species related dates!!! - Date when an Organization (eg PoliticalParty, Company) or Species ceased to exist DataTypeProperty'}, 'flower': {'label': 'missions', 'description': 'No description available DataTypeProperty'}, 'isPartOfWineRegion': {'label': 'epoch', 'description': 'moment in time used as a referrence point for some time-vaying astronomical quantity DataTypeProperty'}, 'lastLaunchRocket': {'label': 'density (μ3)', 'description': 'No description available DataTypeProperty'}, 'lunarOrbitTime': {'label': 'lunar orbit time (ω)', 'description': 'No description available DataTypeProperty'}, 'orogeny': {'label': 'draft position', 'description': 'No description available DataTypeProperty'}, 'period': {'label': 'Dutch artwork code', 'description': 'No description available DataTypeProperty'}, 'plant': {'label': 'cargo water (kg)', 'description': 'No description available DataTypeProperty'}, 'previousWorkDate': {'label': 'classification', 'description': 'Any string representing a class or category this thing is assigned to. DataTypeProperty'}, 'stellarClassification': {'label': 'Believers', 'description': 'No description available DataTypeProperty'}, 'zodiacSign': {'label': 'final lost team', 'description': 'No description available DataTypeProperty'}} Subgraph:nanText: The celestial body, (66391) 1999 KW4, has an apoapsis of 162164091.8388 km and its epoch date is 14 July 2004. bot:[('66391_Moshup', 'apoapsis', '162164091.8388_(kilometres)'), ('66391_Moshup', 'epoch', '2004-07-14')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'SoccerManager': {'label': 'soccer manager', 'comment': '-'}, 'FormulaOneTeam': {'label': 'formula 1 team', 'comment': '-'}, 'SportsTeamMember': {'label': 'Sports team member', 'comment': 'A member of an athletic team.'}, 'NationalSoccerClub': {'label': 'national soccer club', 'comment': '-'}, 'SoccerClubSeason': {'label': 'soccer club season', 'comment': '-'}, 'GridironFootballPlayer': {'label': 'gridiron football player', 'comment': 'Gradiron football, also called North American football, is a family of soccer team games played primarily in the United States and Canada.'}, 'SoccerTournament': {'label': 'soccer tournoment', 'comment': '-'}, 'SoccerPlayer': {'label': 'soccer player', 'comment': '-'}, 'NetballPlayer': {'label': 'netball player', 'comment': '-'}, 'AmericanFootballCoach': {'label': 'american football coach', 'comment': '-'}} Available Properties: {'appearancesInLeague': {'label': 'appearances in league', 'description': 'No description available DataTypeProperty'}, 'appearancesInNationalTeam': {'label': 'appearances in national team', 'description': 'No description available DataTypeProperty'}, 'club': {'label': 'number of live albums', 'description': 'the number of live albums released by the musical artist DataTypeProperty'}, 'coach': {'label': 'imposed danse competition', 'description': 'No description available DataTypeProperty'}, 'coachedTeam': {'label': 'catholic percentage', 'description': 'No description available DataTypeProperty'}, 'currentTeam': {'label': 'eruption date', 'description': 'No description available DataTypeProperty'}, 'currentTeamManager': {'label': 'year of first ascent', 'description': 'No description available DataTypeProperty'}, 'currentTeamMember': {'label': 'pictures Commons category', 'description': 'Wikimedia CommonsCategory for pictures of this resource DataTypeProperty'}, 'formerCoach': {'label': 'number of trails', 'description': 'Number of trails in ski area. DataTypeProperty'}, 'formerTeam': {'label': 'mill dissapeared code NL', 'description': 'No description available DataTypeProperty'}, 'frazioni': {'label': 'average speed (km/s)', 'description': 'The average speed of a thing. DataTypeProperty'}, 'goalsInLeague': {'label': 'goals in league', 'description': 'No description available DataTypeProperty'}, 'goalsInNationalTeam': {'label': 'goals in national team', 'description': 'No description available DataTypeProperty'}, 'leagueManager': {'label': 'minimum temperature (K)', 'description': 'No description available DataTypeProperty'}, 'managerClub': {'label': 'Gray subject', 'description': "Refers to the famous 1918 edition of Gray's Anatomy. DataTypeProperty"}, 'nationalTeamYear': {'label': 'national team year', 'description': 'No description available DataTypeProperty'}, 'numberOfTeams': {'label': 'number of teams', 'description': 'No description available DataTypeProperty'}, 'oldTeamCoached': {'label': 'area urban (km2)', 'description': 'No description available DataTypeProperty'}, 'seasonManager': {'label': 'season manager', 'description': 'No description available DataTypeProperty'}, 'squadNumber': {'label': 'squad number', 'description': 'The number that an athlete wears in a team sport. DataTypeProperty'}, 'teamCoached': {'label': 'blue long distance piste number', 'description': 'No description available DataTypeProperty'}, 'teamManager': {'label': 'blue ski piste number', 'description': 'No description available DataTypeProperty'}, 'teamName': {'label': 'team name', 'description': 'No description available DataTypeProperty'}, 'worldChampionTitleYear': {'label': 'year of world champion title', 'description': 'can be one or several years DataTypeProperty'}, 'youthClub': {'label': 'flag caption', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Alessandro_Dal_Canto', 'team', 'FC_Elista'], ['Canada', 'largestCity', 'Toronto'], ['Italians', 'populationPlace', 'Canada'], ['Italians', 'populationPlace', 'Argentina'], ['Italians', 'populationPlace', 'Colombia'], ['Alessio_Romagnoli', 'team', 'Italy_national_under-17_football_team'], ['Alessandro_Dal_Canto', 'team', 'Perugia_Calcio'], ['Alessandro_Dal_Canto', 'managerClub', 'Empoli_F.C._Primavera'], ['Alessandro_Dal_Canto', 'team', 'F.C._Catanzaro'], ['Italians', 'religion', 'Christianity'], ['Alessandro_Dal_Canto', 'managerClub', 'Vicenza_Calcio'], ['Italians', 'populationPlace', 'Paraguay'], ['Italy_national_under-19_football_team', 'coach', 'Carmine_Nunziata'], ['Alessandro_Dal_Canto', 'team', 'U.C._AlbinoLeffe'], ['Alessandro_Dal_Canto', 'managerClub', 'Venezia_F.C.'], ['Alessandro_Dal_Canto', 'managerClub', 'Calcio_Padova'], ['Paraguay', 'largestCity', 'Asunción'], ['Alessandro_Dal_Canto', 'team', 'S.S.C._Venezia'], ['Alessandro_Dal_Canto', 'team', 'Bologna_F.C._1909'], ['Italians', 'populationPlace', 'Uruguay'], ['Alessio_Romagnoli', 'team', 'Italy_national_under-19_football_team'], ['Venezuela', 'largestCity', 'Caracas'], ['Italy_national_under-17_football_team', 'coach', 'Bernardo_Corradi'], ['Italy_national_under-16_football_team', 'coach', 'Daniel_Zoratto'], ['Alessandro_Dal_Canto', 'managerClub', 'U.S._Arezzo'], ['Alessio_Romagnoli', 'team', 'A.C._Milan'], ['Alessandro_Dal_Canto', 'team', 'Carrarese_Calcio_1908'], ['Alessio_Romagnoli', 'team', 'U.C._Sampdoria'], ['Alessandro_Dal_Canto', 'team', 'Torino_F.C.'], ['Alessandro_Dal_Canto', 'managerClub', 'Robur_Siena'], ['Italians', 'religion', 'Irreligion'], ['Italians', 'populationPlace', 'France'], ['Alessandro_Dal_Canto', 'team', 'Vicenza_Calcio'], ['Alessio_Romagnoli', 'team', 'Italy_national_under-16_football_team'], ['Alessandro_Dal_Canto', 'managerClub', 'Juventus_F.C._Youth_Sector'], ['Alessio_Romagnoli', 'team', 'S.S._Lazio'], ['Alessio_Romagnoli', 'birthPlace', 'Anzio'], ['Alessio_Romagnoli', 'birthPlace', 'Italy_national_football_team'], ['Italians', 'populationPlace', 'Italy'], ['Italians', 'populationPlace', 'Venezuela'], ['Italians', 'populationPlace', 'Australia'], ['Australia', 'largestCity', 'Sydney'], ['Alessandro_Dal_Canto', 'managerClub', 'Italy_national_under-17_football_team'], ['Italians', 'populationPlace', 'United_States'], ['United_States', 'largestCity', 'New_York_City'], ['Alessandro_Dal_Canto', 'team', 'Treviso_F.B.C._1993'], ['Alessandro_Dal_Canto', 'team', 'Juventus_F.C.'], ['Alessandro_Dal_Canto', 'managerClub', 'A.S._Livorno_Calcio'], ['Brazil', 'largestCity', 'São_Paulo'], ['Alessio_Romagnoli', 'team', 'A.S._Roma'], ['Association_football', 'equipment', 'Shinpad'], ['Italians', 'populationPlace', 'Brazil'], ['Association_football', 'equipment', 'Ball_(association_football)']]Text: Alessio Romagnoli is a member of the Italian national under 17 football team coached by Alessandro Dal Canto. bot:[('Alessio_Romagnoli', 'club', 'Italy_national_under-17_football_team'), ('Italy_national_under-17_football_team', 'coach', 'Alessandro_Dal_Canto'), ('A', 'l', 'e'), ('Italy_national_under-17_football_team', 'type', 'SportsClub'), ('Alessio_Romagnoli', 'type', 'Eukaryote')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'AutomobileEngine': {'label': 'automobile engine', 'comment': '-'}, 'Engine': {'label': 'engine', 'comment': '-'}, 'Automobile': {'label': 'automobile', 'comment': '-'}, 'GolfCourse': {'label': 'golf course', 'comment': 'In a golf course, holes often carry hazards, defined as special areas to which additional rules of the game apply.'}, 'MotorRace': {'label': 'motor race', 'comment': '-'}} Available Properties: {'assembly': {'label': 'land percentage of a place', 'description': 'No description available DataTypeProperty'}, 'automobileModel': {'label': 'automobile model', 'description': 'No description available DataTypeProperty'}, 'building': {'label': 'BRIN code', 'description': 'The code used by the Dutch Ministry of Education to identify a school (as an organisation) DataTypeProperty'}, 'cableCar': {'label': 'cable car', 'description': 'No description available DataTypeProperty'}, 'construction': {'label': 'consecration', 'description': 'No description available DataTypeProperty'}, 'distanceToCardiff': {'label': 'distance to Cardiff (μ)', 'description': 'No description available DataTypeProperty'}, 'engine': {'label': 'measurements', 'description': 'No description available DataTypeProperty'}, 'firstDriverCountry': {'label': 'military function', 'description': 'No description available DataTypeProperty'}, 'geneLocationEnd': {'label': 'gene location end', 'description': 'the end of the gene DataTypeProperty'}, 'geneLocationStart': {'label': 'gene location start', 'description': 'the start of the gene coordinates DataTypeProperty'}, 'poleDriverCountry': {'label': 'NNDB id', 'description': 'No description available DataTypeProperty'}, 'secondDriverCountry': {'label': 'number of clubs', 'description': 'number of clubs active in a given sport for a region DataTypeProperty'}, 'thirdDriverCountry': {'label': 'number of graves', 'description': 'number of burial places in a cemetery or necropolis DataTypeProperty'}} Subgraph:[array(['House_of_Lords', 'isPartOf', 'Parliament_of_the_United_Kingdom'], dtype=object) array(['United_Kingdom', 'house', 'House_of_Lords'], dtype=object) array(['Newport_Pagnell', 'country', 'England'], dtype=object) array(['Buckinghamshire', 'country', 'United_Kingdom'], dtype=object) array(['Buckinghamshire', 'location', 'England'], dtype=object) array(['Newport_Pagnell', 'ceremonialCounty', 'Buckinghamshire'], dtype=object) array(['Newport_Pagnell', 'country', 'United_Kingdom'], dtype=object) array(['United_Kingdom', 'house', 'House_of_Commons_of_the_United_Kingdom'], dtype=object) array(['House_of_Commons_of_the_United_Kingdom', 'isPartOf', 'Parliament_of_the_United_Kingdom'], dtype=object) ]Text: The Aston Martin V8 is assembled in Newport Pagnell, Buckinghamshire, England, United Kingdom. bot:[('Aston_Martin_V8', 'assembly', 'Newport_Pagnell,_Buckinghamshire,_England,_United_Kingdom')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'Museum': {'label': 'museum', 'comment': '-'}, 'Prefecture': {'label': 'prefecture', 'comment': '-'}, 'Artwork': {'label': 'artwork', 'comment': 'A work of art, artwork, art piece, or art object is an aesthetic item or artistic creation.'}, 'Sculpture': {'label': 'Sculpture', 'comment': 'Sculpture is three-dimensional artwork created by shaping or combining hard materials, typically stone such as marble, metal, glass, or wood, or plastic materials such as clay, textiles, polymers and softer metals.'}, 'HistoricPlace': {'label': 'historic place', 'comment': '-'}, 'WorldHeritageSite': {'label': 'World Heritage Site', 'comment': 'A UNESCO World Heritage Site is a site (such as a forest, mountain, lake, desert, monument, building, complex, or city) that is on the list that is maintained by the international World Heritage Programme administered by the UNESCO World Heritage Committee, composed of 21 state parties which are elected by their General Assembly for a four-year term. A World Heritage Site is a place of either cultural or physical significance.'}, 'Sculptor': {'label': 'sculptor', 'comment': '-'}, 'Manga': {'label': 'manga', 'comment': 'Manga are comics created in Japan'}, 'ArtisticGenre': {'label': 'artistic genre', 'comment': 'Genres of art, e.g. Pointillist, Modernist'}, 'PeriodOfArtisticStyle': {'label': 'period of artistic style', 'comment': '-'}} Available Properties: {'aircraftTransport': {'label': 'governorate', 'description': 'No description available DataTypeProperty'}, 'canonizedPlace': {'label': 'total discs', 'description': 'the total number of discs contained in the album DataTypeProperty'}, 'city': {'label': 'illiteracy', 'description': 'No description available DataTypeProperty'}, 'collectionSize': {'label': 'diseasesDb', 'description': 'No description available DataTypeProperty'}, 'country': {'label': 'eye colour', 'description': 'No description available DataTypeProperty'}, 'curator': {'label': 'atomic weight', 'description': 'the ratio of the average mass of atoms of an element (from a single given sample or source) to 1⁄12 of the mass of an atom of carbon-12 DataTypeProperty'}, 'dutchMIPCode': {'label': 'monument code for the Monuments Inventory Project', 'description': 'The Dutch MIP project was meant to take stock of all kinds of monuments DataTypeProperty'}, 'galleryItem': {'label': 'SELIBR Id', 'description': 'Authority data from the National Library of Sweden DataTypeProperty'}, 'governmentCountry': {'label': 'boiling point (K)', 'description': 'No description available DataTypeProperty'}, 'historicalMap': {'label': 'historical map', 'description': 'No description available DataTypeProperty'}, 'historicalRegion': {'label': 'historical region', 'description': 'geographic area which at some point in time had a cultural, ethnic, linguistic or political basis, regardless of present-day borders DataTypeProperty'}, 'inCemetery': {'label': 'weight (kg)', 'description': 'No description available DataTypeProperty'}, 'location': {'label': 'currency code', 'description': 'ISO 4217 currency designators. DataTypeProperty'}, 'locationCity': {'label': 'date of latest election', 'description': 'No description available DataTypeProperty'}, 'museum': {'label': 'nation', 'description': 'No description available DataTypeProperty'}, 'museumType': {'label': 'trading name', 'description': 'alternative name under which an entity legally trades DataTypeProperty'}, 'mythology': {'label': 'exhibition', 'description': 'Notes about an exhibition the object has been to DataTypeProperty'}, 'nameInJapanese': {'label': 'name in Japanese', 'description': 'No description available DataTypeProperty'}, 'picturesCommonsCategory': {'label': 'pictures Commons category', 'description': 'Wikimedia CommonsCategory for pictures of this resource DataTypeProperty'}, 'rebuilder': {'label': 'ko', 'description': 'No description available DataTypeProperty'}, 'regionalPrefecture': {'label': 'regional prefecture', 'description': 'No description available DataTypeProperty'}, 'relatedPlaces': {'label': 'cuisine', 'description': 'National cuisine of a Food or Restaurant DataTypeProperty'}, 'temple': {'label': 'displacement (g)', 'description': "A ship's displacement is its mass at any given time. DataTypeProperty"}, 'touristicSite': {'label': 'britishOpen', 'description': 'No description available DataTypeProperty'}, 'unesco': {'label': 'cable car', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Japan', 'house', 'House_of_Councillors_(Japan)'], ['Japan', 'house', 'House_of_Representatives_(Japan)'], ['Akita_Prefecture', 'country', 'Japan']]Text: The Akita Museum of Art is located in The Akita Prefecture in Japan. bot:[('Akita_Prefecture', 'country', 'Japan'), ('Akita_Museum_of_Art', 'location', 'Akita_Prefecture')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'AmericanLeader': {'label': 'American Leader', 'comment': '-'}, 'Mayor': {'label': 'mayor', 'comment': '-'}, 'Ambassador': {'label': 'ambassador', 'comment': 'An ambassador is the highest ranking diplomat that represents a nation and is usually accredited to a foreign sovereign or government, or to an international organization.'}, 'PoliceOfficer': {'label': 'Police Officer', 'comment': '-'}, 'President': {'label': 'president', 'comment': '-'}, 'TeamMember': {'label': 'Team member', 'comment': 'A member of an athletic team.'}, 'VicePresident': {'label': 'vice president', 'comment': '-'}, 'Governor': {'label': 'governor', 'comment': '-'}, 'NationalSoccerClub': {'label': 'national soccer club', 'comment': '-'}, 'Lieutenant': {'label': 'lieutenant', 'comment': '-'}} Available Properties: {'chairman': {'label': 'id number', 'description': 'No description available DataTypeProperty'}, 'commandant': {'label': 'cause of death', 'description': "underlying or immediate cause of death. Underlying cause (e.g. car accident, stomach cancer) preferred. Use 'manner of death' (P1196) for broadest category, e.g. natural causes, accident, homicide, suicide DataTypeProperty"}, 'currentTeamManager': {'label': 'year of first ascent', 'description': 'No description available DataTypeProperty'}, 'currentTeamMember': {'label': 'pictures Commons category', 'description': 'Wikimedia CommonsCategory for pictures of this resource DataTypeProperty'}, 'doctoralAdvisor': {'label': 'galicianSpeakersDate', 'description': 'The last inquiry date about linguistics uses. DataTypeProperty'}, 'doctoralStudent': {'label': 'galicianSpeakersPercentage', 'description': 'Percentage of Galician speakers. DataTypeProperty'}, 'electionDateLeader': {'label': 'election date leader', 'description': 'The date that leader was elected. DataTypeProperty'}, 'elo': {'label': 'ELO rating', 'description': 'No description available DataTypeProperty'}, 'latinName': {'label': 'name in latin', 'description': 'No description available DataTypeProperty'}, 'leader': {'label': 'number of all MuscialArtist playing the style', 'description': 'No description available DataTypeProperty'}, 'leaderName': {'label': 'original title', 'description': 'The original title of the work, most of the time in the original language as well DataTypeProperty'}, 'leaderParty': {'label': 'election majority', 'description': 'number of votes the office holder attained DataTypeProperty'}, 'leaderTitle': {'label': 'leader title', 'description': 'No description available DataTypeProperty'}, 'majorityLeader': {'label': 'majority leader', 'description': 'number of office holder DataTypeProperty'}, 'playerInTeam': {'label': 'capacity', 'description': 'Number of people who can be served by a Train or other service; or participate in a SoccerClub, CricketTeam, etc DataTypeProperty'}, 'politicalLeader': {'label': 'non professional career', 'description': 'No description available DataTypeProperty'}, 'politician': {'label': 'leadership', 'description': 'No description available DataTypeProperty'}, 'president': {'label': 'hopman cup', 'description': 'No description available DataTypeProperty'}, 'stateOfOriginTeam': {'label': 'barangays', 'description': 'No description available DataTypeProperty'}, 'viceLeader': {'label': 'security', 'description': 'Safety precautions that are used in the building. DataTypeProperty'}, 'winsAtAlpg': {'label': 'internationally', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Buenos_Aires', 'politicalLeader', 'Buenos_Aires__PoliticalFunction__3'], ['Buenos_Aires', 'governingBody', 'Buenos_Aires_City_Legislature'], ['Buenos_Aires__PoliticalFunction__3', 'politician', 'Guadalupe_Tagliaferri'], ['Buenos_Aires__PoliticalFunction__3', 'politician', 'Mariano_Recalde'], ['Buenos_Aires__PoliticalFunction__2', 'politician', 'List_of_current_Argentine_deputies'], ['Buenos_Aires__PoliticalFunction__3', 'politician', 'Martín_Lousteau'], ['Buenos_Aires__PoliticalFunction__1', 'politician', 'Horacio_Rodríguez_Larreta'], ['Buenos_Aires', 'politicalLeader', 'Buenos_Aires__PoliticalFunction__1'], ['Buenos_Aires', 'politicalLeader', 'Buenos_Aires__PoliticalFunction__2']]Text: The leader in Buenos Aires is Horacio Rodríguez Larreta. bot:[('Buenos_Aires', 'leader', 'Horacio_Rodríguez_Larreta'), ('Buenos_Aires', 'type', 'Location')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'Archipelago': {'label': 'archipelago', 'comment': '-'}, 'Language': {'label': 'language', 'comment': '-'}, 'Municipality': {'label': 'municipality', 'comment': 'An administrative body governing a territorial unity on the lower level, administering one or a few more settlements'}, 'Country': {'label': 'country', 'comment': '-'}, 'Prefecture': {'label': 'prefecture', 'comment': '-'}, 'Fungus': {'label': 'پھُپھُوندی', 'comment': '-'}, 'Province': {'label': 'province', 'comment': 'An administrative body governing a territorial unity on the intermediate level, between local and national level'}, 'Village': {'label': 'village', 'comment': 'a clustered human settlement or community, usually smaller a town'}, 'AdministrativeRegion': {'label': 'administrative region', 'comment': 'A PopulatedPlace under the jurisdiction of an administrative body. This body may administer either a whole region or one or more adjacent Settlements (town administration)'}, 'Linguist': {'label': 'linguist', 'comment': '-'}} Available Properties: {'collectionSize': {'label': 'diseasesDb', 'description': 'No description available DataTypeProperty'}, 'country': {'label': 'eye colour', 'description': 'No description available DataTypeProperty'}, 'countryOrigin': {'label': 'number of licensed', 'description': 'nombre de personnes ayant une license pour pratiquer cette activité DataTypeProperty'}, 'deFactoLanguage': {'label': 'certification', 'description': 'No description available DataTypeProperty'}, 'ethnicGroup': {'label': 'election date leader', 'description': 'The date that leader was elected. DataTypeProperty'}, 'ethnicity': {'label': 'school number', 'description': 'No description available DataTypeProperty'}, 'governmentCountry': {'label': 'boiling point (K)', 'description': 'No description available DataTypeProperty'}, 'language': {'label': 'legend thumbnail localization', 'description': 'No description available DataTypeProperty'}, 'musicType': {'label': 'main islands', 'description': 'No description available DataTypeProperty'}, 'nameInHanjaKorean': {'label': 'name in Hanja-written (traditional) Korean', 'description': 'No description available DataTypeProperty'}, 'nameInMindongyuChinese': {'label': 'name in Mindongyu Chinese', 'description': 'No description available DataTypeProperty'}, 'nameInMinnanyuChinese': {'label': 'name in Minnanyu Chinese', 'description': 'No description available DataTypeProperty'}, 'nameInTraditionalChinese': {'label': 'name in Traditional Chinese', 'description': 'No description available DataTypeProperty'}, 'nationality': {'label': 'national tournament bronze', 'description': 'No description available DataTypeProperty'}, 'originalLanguage': {'label': 'lchf draft year', 'description': 'No description available DataTypeProperty'}, 'otherLanguage': {'label': 'other language of a settlement', 'description': 'No description available DataTypeProperty'}, 'race': {'label': 'displacement (g)', 'description': "A ship's displacement is its mass at any given time. DataTypeProperty"}, 'regionalLanguage': {'label': 'first publication date', 'description': 'Date of the first publication. DataTypeProperty'}, 'type': {'label': 'other wins', 'description': 'No description available DataTypeProperty'}, 'voiceType': {'label': 'EntrezGene', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Ilocano_people', 'populationPlace', 'Overseas_Filipino'], ['Tagalog_people', 'populationPlace', 'Saudi_Arabia'], ['Visayans', 'populationPlace', 'Luzon'], ['Visayans', 'populationPlace', 'Visayas'], ['Tagalog_people', 'populationPlace', 'Northern_Mariana_Islands'], ['Philippines', 'largestCity', 'Quezon_City'], ['Philippine_English', 'languageFamily', 'West_Germanic_languages'], ['Tagalog_people', 'populationPlace', 'Japan'], ['Visayans', 'populationPlace', 'Mindanao'], ['Philippine_peso', 'usingCountry', 'Philippines'], ['Philippines', 'ethnicGroup', 'Visayans'], ['Philippines', 'currency', 'Philippine_peso'], ['Philippine_English', 'spokenIn', 'Philippines'], ['Tagalog_people', 'populationPlace', 'Federated_States_of_Micronesia'], ['Tagalog_people', 'populationPlace', 'Guam'], ['Philippines', 'topLevelDomain', '.ph'], ['Philippine_English', 'languageFamily', 'Ingvaeonic_languages'], ['Tagalog_people', 'populationPlace', 'Filipinos_in_Hong_Kong'], ['Philippine_English', 'languageFamily', 'Anglo-Frisian_languages'], ['Tagalog_people', 'populationPlace', 'Filipino_Canadian'], ['Philippines', 'house', 'Senate_of_the_Philippines'], ['Visayans', 'populationPlace', 'Overseas_Filipinos'], ['Philippines', 'house', 'House_of_Representatives_of_the_Philippines'], ['House_of_Representatives_of_the_Philippines', 'isPartOf', 'Congress_of_the_Philippines'], ['Bicolano_people', 'populationPlace', 'Overseas_Filipinos'], ['Philippines', 'ethnicGroup', 'Bicolano_people'], ['Philippine_English', 'languageFamily', 'Germanic_languages'], ['Tagalog_people', 'populationPlace', 'Filipino_American'], ['Philippines', 'ethnicGroup', 'Tagalog_people'], ['Philippines', 'ethnicGroup', 'Ethnic_groups_in_the_Philippines'], ['Philippine_English', 'spokenIn', 'Southeast_Asia'], ['Ilocano_people', 'populationPlace', 'United_States'], ['Philippines', 'ethnicGroup', 'Ilocano_people'], ['Visayans', 'populationPlace', 'Philippines'], ['Bicolano_people', 'populationPlace', 'Philippines'], ['Ilocano_people', 'populationPlace', 'Philippines'], ['Tagalog_people', 'populationPlace', 'Philippines'], ['Tagalog_people', 'populationPlace', 'Filipinos_in_Palau']]Text: Philippines is the country Batchoy comes from, in this country there is a ethnic group called Ilocano and they speak Philippine English. bot:[('Batchoy', 'country', 'Philippines'), ('Philippines', 'ethnicGroup', 'Ilocano_people'), ('Philippines', 'language', 'Philippine_English'), ('Ilocano_people', 'type', 'EthnicGroup'), ('Philippines', 'type', 'Location'), ('Batchoy', 'type', 'Food'), ('Philippine_English', 'type', 'Language'), ('Philippines', 'type', 'Country')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'AmericanFootballLeague': {'label': 'american football league', 'comment': 'A group of sports teams that compete against each other in american football.'}, 'CountrySeat': {'label': 'country estate', 'comment': 'A country seat is a rural patch of land owned by a land owner.'}, 'AmericanFootballTeam': {'label': 'american football Team', 'comment': '-'}, 'GovernmentAgency': {'label': 'government agency', 'comment': 'A government agency is a permanent or semi-permanent organization in the machinery of government that is responsible for the oversight and administration of specific functions, such as an intelligence agency.'}, 'Agent': {'label': 'agent', 'comment': 'Analogous to a foaf:Agent, an agent is an entity that acts. This is intended to be the super class of Person and Organisation.'}, 'District': {'label': 'district', 'comment': '-'}, 'Arrondissement': {'label': 'arrondissement', 'comment': 'An administrative (France) or lawcourts (Netherlands) body governing a territorial unity on the intermediate level, between local and national level'}, 'Arena': {'label': 'arena', 'comment': 'An arena is an enclosed area, often circular or oval-shaped, designed to showcase theater, musical performances, or sporting events. (http://en.wikipedia.org/wiki/Arena)'}, 'SpeedwayLeague': {'label': 'speedway league', 'comment': 'A group of sports teams that compete against each other in motorcycle speedway racing.'}, 'AutoRacingLeague': {'label': 'auto racing league', 'comment': 'a group of sports teams or individual athletes that compete against each other in auto racing'}} Available Properties: {'administrativeDistrict': {'label': 'Number of revision per month', 'description': 'used for DBpedia History > Subject must be a blank node containing a dc:date and a rdfs:value DataTypeProperty'}, 'announcedFrom': {'label': 'number of platform levels', 'description': 'Number of levels of platforms at the station. DataTypeProperty'}, 'ceremonialCounty': {'label': 'UN/LOCODE', 'description': 'UN/LOCODE, the United Nations Code for Trade and Transport Locations, is a geographic coding scheme developed and maintained by United Nations Economic Commission for Europe (UNECE), a unit of the United Nations. UN/LOCODE assigns codes to locations used in trade and transport with functions such as seaports, rail and road terminals, airports, post offices and border crossing points. DataTypeProperty'}, 'collectionSize': {'label': 'diseasesDb', 'description': 'No description available DataTypeProperty'}, 'congressionalDistrict': {'label': 'reporting mark', 'description': 'A reporting mark is a two-, three-, or four-letter alphabetic code used to identify owners or lessees of rolling stock and other equipment used on the North American railroad network. DataTypeProperty'}, 'constituencyDistrict': {'label': 'income', 'description': 'No description available DataTypeProperty'}, 'country': {'label': 'eye colour', 'description': 'No description available DataTypeProperty'}, 'county': {'label': 'INSEE code', 'description': 'numerical indexing code used by the French National Institute for Statistics and Economic Studies (INSEE) to identify various entities DataTypeProperty'}, 'countySeat': {'label': 'DosesFirst', 'description': 'Number of first vaccine doses. DataTypeProperty'}, 'draftPick': {'label': 'draft pick', 'description': 'No description available DataTypeProperty'}, 'draftTeam': {'label': 'gene location end', 'description': 'the end of the gene DataTypeProperty'}, 'governmentCountry': {'label': 'boiling point (K)', 'description': 'No description available DataTypeProperty'}, 'isPartOf': {'label': 'orbital inclination', 'description': 'orbital inclination of a stable orbit DataTypeProperty'}, 'kegg': {'label': 'KEGG', 'description': 'Bioinformatics resource for deciphering the genome. DataTypeProperty'}, 'khlDraftTeam': {'label': 'diameter (μ)', 'description': 'No description available DataTypeProperty'}, 'minorityFloorLeader': {'label': 'minority floor leader', 'description': 'number of office holder DataTypeProperty'}, 'nflTeam': {'label': 'periapsis (km)', 'description': 'No description available DataTypeProperty'}, 'nutsCode': {'label': 'NUTS code', 'description': 'Nomenclature of Territorial Units for Statistics (NUTS) is a geocode standard for referencing the subdivisions of countries for statistical purposes. The standard is developed and regulated by the European Union, and thus only covers the member states of the EU in detail. DataTypeProperty'}, 'piercing': {'label': 'eye colour', 'description': 'No description available DataTypeProperty'}, 'ridId': {'label': 'RID Id', 'description': 'An identifying system for scientific authors. The system was introduced in January 2008 by Thomson Reuters. The combined use of the Digital Object Identifier with the ResearcherID allows for a unique association of authors and scientific articles. DataTypeProperty'}, 'spouseName': {'label': 'spouse name', 'description': 'No description available DataTypeProperty'}, 'superTribus': {'label': 'long distance piste number', 'description': 'No description available DataTypeProperty'}, 'throwingSide': {'label': 'throwing side', 'description': 'No description available DataTypeProperty'}, 'uniprot': {'label': 'UniProt', 'description': 'No description available DataTypeProperty'}, 'whaDraftTeam': {'label': 'monument code for the Monuments Inventory Project', 'description': 'The Dutch MIP project was meant to take stock of all kinds of monuments DataTypeProperty'}, 'wins': {'label': 'draft pick', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Amarillo_High_School', 'location', 'Amarillo'], ['Amarillo_High_School', 'district', 'Amarillo_Independent_School_District'], ['United_States', 'largestCity', 'New_York_City'], ['Amarillo_High_School', 'location', 'Amarillo,_Texas']]Text: Amarillo is part of Randall County, Texas, United States. bot:[('Randall_County,_Texas', 'country', 'United_States'), ('Amarillo,_Texas', 'isPartOf', 'Randall_County,_Texas'), ('Amarillo,_Texas', 'type', 'Location'), ('Randall_County,_Texas', 'type', 'AdministrativeRegion')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'Instrumentalist': {'label': 'instrumentalist', 'comment': '-'}, 'MusicDirector': {'label': 'music director', 'comment': 'A person who is the director of an orchestra or concert band.'}, 'MusicComposer': {'label': 'music composer', 'comment': 'a person who creates music.'}, 'MusicalArtist': {'label': 'musical artist', 'comment': '-'}, 'ClassicalMusicArtist': {'label': 'classical music artist', 'comment': '-'}, 'AdultActor': {'label': 'adult (pornographic) actor', 'comment': 'A pornographic actor or actress or a porn star is a person who performs sex acts in film, normally characterised as a pornographic film.'}, 'RadioHost': {'label': 'radio host', 'comment': '-'}, 'Guitarist': {'label': 'guitarist', 'comment': '-'}, 'TheatreDirector': {'label': 'Theatre director', 'comment': 'A director in the theatre field who oversees and orchestrates the mounting of a theatre production.'}, 'Actor': {'label': 'actor', 'comment': 'An actor or actress is a person who acts in a dramatic production and who works in film, television, theatre, or radio in that capacity.'}} Available Properties: {'': {'label': 'NGC name', 'description': 'Name for NGC objects DataTypeProperty'}, 'associatedBand': {'label': 'human development index rank', 'description': 'No description available DataTypeProperty'}, 'associatedMusicalArtist': {'label': 'iafd id', 'description': 'No description available DataTypeProperty'}, 'bandMember': {'label': 'ensemble', 'description': 'No description available DataTypeProperty'}, 'bnfId': {'label': 'BNF Id', 'description': 'Authority data of people listed in the general catalogue of the National Library of France DataTypeProperty'}, 'formerBandMember': {'label': 'last flight start date', 'description': 'No description available DataTypeProperty'}, 'formerChannel': {'label': 'former channel', 'description': 'No description available DataTypeProperty'}, 'formerChoreographer': {'label': 'end date', 'description': 'The end date of the event. DataTypeProperty'}, 'formerName': {'label': 'former name', 'description': 'No description available DataTypeProperty'}, 'genre': {'label': 'locality of a switzerland settlement', 'description': 'No description available DataTypeProperty'}, 'literaryGenre': {'label': 'lunar surface time (s)', 'description': 'No description available DataTypeProperty'}, 'musicBand': {'label': 'height (cm)', 'description': 'No description available DataTypeProperty'}, 'musicComposer': {'label': 'national team match point', 'description': 'No description available DataTypeProperty'}, 'musicFusionGenre': {'label': 'free danse score', 'description': 'No description available DataTypeProperty'}, 'musicType': {'label': 'main islands', 'description': 'No description available DataTypeProperty'}, 'musicalArtist': {'label': 'weight (kg)', 'description': 'No description available DataTypeProperty'}, 'musicalBand': {'label': 'apoapsis (km)', 'description': 'No description available DataTypeProperty'}, 'musicians': {'label': 'density (μ3)', 'description': 'No description available DataTypeProperty'}, 'name': {'label': 'density (μ3)', 'description': 'No description available DataTypeProperty'}, 'neighbourConstellations': {'label': 'neighbour constellations', 'description': 'No description available DataTypeProperty'}, 'ngcName': {'label': 'NGC name', 'description': 'Name for NGC objects DataTypeProperty'}, 'otherName': {'label': 'other name', 'description': 'No description available DataTypeProperty'}, 'previousName': {'label': 'previous name', 'description': 'No description available DataTypeProperty'}, 'sameName': {'label': 'same name', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Pop_music', 'musicFusionGenre', 'Pop_rap'], ['Trance_music', 'stylisticOrigin', 'Techno'], ['Techno', 'musicFusionGenre', 'Tech_house'], ['Bobina', 'genre', 'Progressive_trance'], ['Trance_music', 'musicSubgenre', 'Goa_trance'], ['Ambient_music', 'musicFusionGenre', 'Ambient_techno'], ['Bobina', 'recordLabel', 'Loaded_Records'], ['Trance_music', 'stylisticOrigin', 'Hardcore_(electronic_dance_music_genre)'], ['Techno', 'musicFusionGenre', 'Eurodance'], ['Trance_music', 'musicSubgenre', 'Tech_trance'], ['Andrew_Rayel', 'associatedMusicalArtist', 'Producer)'], ['Ambient_music', 'musicFusionGenre', 'Ambient_pop'], ['Pop_music', 'musicFusionGenre', 'Pop_rock'], ['Trance_music', 'stylisticOrigin', 'Film_score'], ['Pop_music', 'musicFusionGenre', 'Dancehall_pop'], ['Pop_music', 'musicFusionGenre', 'Electropop'], ['Andrew_Rayel', 'associatedMusicalArtist', 'Bobina'], ['Trance_music', 'stylisticOrigin', 'Chill-out_music'], ['Ambient_music', 'musicFusionGenre', 'Psybient'], ['Ambient_music', 'musicFusionGenre', 'Ambient_house'], ['Bobina', 'recordLabel', 'Flashover_Records'], ['Ambient_music', 'musicFusionGenre', 'Illbient'], ['Andrew_Rayel', 'associatedMusicalArtist', 'Armin_van_Buuren'], ['Andrew_Rayel', 'associatedMusicalArtist', 'Christian_Burns'], ['Andrew_Rayel', 'genre', 'Trance_music'], ['Bobina', 'recordLabel', 'Ministry_of_Sound'], ['Techno', 'musicFusionGenre', 'Kuduro'], ['Bobina', 'recordLabel', 'Radio_Record'], ['Techno', 'musicFusionGenre', 'Ghettotech'], ['Trance_music', 'stylisticOrigin', 'Pop_music'], ['Trance_music', 'musicSubgenre', 'Acid_trance'], ['Trance_music', 'musicSubgenre', 'Hard_trance'], ['Detroit_techno', 'musicFusionGenre', 'Ghettotech'], ['Ambient_music', 'musicFusionGenre', 'Ambient_black_metal'], ['Jwaydan_Moyine', 'associatedMusicalArtist', 'Armin_van_buuren'], ['Pop_music', 'musicFusionGenre', 'Worldbeat'], ['Techno', 'musicFusionGenre', 'Schaffel'], ['Bobina', 'genre', 'Trance_music'], ['Trance_music', 'musicSubgenre', 'Psychedelic_trance'], ['Trance_music', 'musicSubgenre', 'Balearic_trance'], ['Techno', 'musicFusionGenre', 'Techstep'], ['Techno', 'musicFusionGenre', 'Hardstyle'], ['Pop_music', 'musicFusionGenre', 'Baroque_pop'], ['Trance_music', 'stylisticOrigin', 'Detroit_techno'], ['Pop_music', 'musicFusionGenre', 'Cowboy_pop'], ['Ambient_music', 'musicFusionGenre', 'Drum_and_bass'], ['Pop_music', 'musicFusionGenre', 'Space_age_pop'], ['Psychedelic_trance', 'musicFusionGenre', 'Psydub'], ['Pop_music', 'musicFusionGenre', 'Folk-pop'], ['Mark_Sixma', 'associatedMusicalArtist', 'Wardt_van_der_Harst'], ['Techno', 'musicFusionGenre', 'Hardvapour'], ['Jwaydan_Moyine', 'associatedMusicalArtist', 'Tiesto'], ['Trance_music', 'musicSubgenre', 'Progressive_trance'], ['Electronic_body_music', 'musicFusionGenre', 'Industrial_metal'], ['Pop_music', 'musicFusionGenre', 'Country_pop'], ['Bobina', 'recordLabel', 'Diamond_Records'], ['Pop_music', 'musicFusionGenre', 'Pop_punk'], ['Bobina', 'recordLabel', 'Armada_Music'], ['Pop_music', 'musicFusionGenre', 'Power_pop'], ['Trance_music', 'stylisticOrigin', 'Acid_house'], ['Pop_music', 'musicFusionGenre', 'Indie_pop'], ['Techno', 'musicFusionGenre', 'Electroclash'], ['Andrew_Rayel', 'associatedMusicalArtist', 'Jwaydan_Moyine'], ['Techno', 'musicFusionGenre', 'Intelligent_dance_music'], ['Trance_music', 'stylisticOrigin', 'Ambient_music'], ['Detroit_techno', 'musicFusionGenre', 'Minimal_techno'], ['Trance_music', 'stylisticOrigin', 'Classical_music'], ['Jwaydan_Moyine', 'associatedMusicalArtist', 'Aly_&_Fila'], ['Goa_trance', 'musicFusionGenre', 'Psybient'], ['Ambient_music', 'musicFusionGenre', 'Ambient_dub'], ['Andrew_Rayel', 'associatedMusicalArtist', 'Mark_Sixma'], ['Pop_music', 'musicFusionGenre', 'Emo_pop'], ['Trance_music', 'stylisticOrigin', 'Psychedelic_music'], ['Electronic_body_music', 'musicFusionGenre', 'Industrial_rock'], ['Mark_Sixma', 'associatedMusicalArtist', 'Armin_van_Buuren'], ['Pop_music', 'musicFusionGenre', 'Ambient_pop'], ['Trance_music', 'musicSubgenre', 'Vocal_trance'], ['Trance_music', 'stylisticOrigin', 'House_music'], ['Pop_music', 'musicFusionGenre', 'Contemporary_R&B'], ['Trance_music', 'stylisticOrigin', 'Electronic_body_music'], ['Trance_music', 'stylisticOrigin', 'New-age_music'], ['Pop_music', 'musicFusionGenre', 'Psychedelic_pop'], ['Pop_music', 'musicFusionGenre', 'Hypnagogic_pop'], ['Techno', 'musicFusionGenre', 'Toytown_techno'], ['Bobina', 'recordLabel', 'Perfecto_Records'], ['Bobina', 'recordLabel', 'Magik_Muzik'], ['Trance_music', 'musicSubgenre', 'Uplifting_trance']]Text: Andrew Rayel plays Trance music. He is associated with Bobina and Jwaydan Moyine, musician. bot:[('Andrew_Rayel', 'associatedMusicalArtist', 'Bobina'), ('Andrew_Rayel', 'associatedMusicalArtist', 'Jwaydan_Moyine'), ('Andrew_Rayel', 'genre', 'Trance_music')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'AutomobileEngine': {'label': 'automobile engine', 'comment': '-'}, 'Automobile': {'label': 'automobile', 'comment': '-'}, 'AutoRacingLeague': {'label': 'auto racing league', 'comment': 'a group of sports teams or individual athletes that compete against each other in auto racing'}, 'Engine': {'label': 'engine', 'comment': '-'}, 'BusCompany': {'label': 'bus company', 'comment': '-'}, 'MotorRace': {'label': 'motor race', 'comment': '-'}, 'MotorcycleRacingLeague': {'label': 'motorcycle racing league', 'comment': 'a group of sports teams or bikerider that compete against each other in Motorcycle Racing'}, 'DTMRacer': {'label': 'DTM racer', 'comment': '-'}, 'Locomotive': {'label': 'locomotive', 'comment': '-'}, 'FormulaOneTeam': {'label': 'formula 1 team', 'comment': '-'}} Available Properties: {'architecturalStyle': {'label': 'area of a land (m2)', 'description': 'No description available DataTypeProperty'}, 'assembly': {'label': 'land percentage of a place', 'description': 'No description available DataTypeProperty'}, 'automobileModel': {'label': 'automobile model', 'description': 'No description available DataTypeProperty'}, 'building': {'label': 'BRIN code', 'description': 'The code used by the Dutch Ministry of Education to identify a school (as an organisation) DataTypeProperty'}, 'cableCar': {'label': 'cable car', 'description': 'No description available DataTypeProperty'}, 'class': {'label': 'last flight end date', 'description': 'No description available DataTypeProperty'}, 'classis': {'label': 'broadcast translator', 'description': 'No description available DataTypeProperty'}, 'construction': {'label': 'consecration', 'description': 'No description available DataTypeProperty'}, 'engine': {'label': 'measurements', 'description': 'No description available DataTypeProperty'}, 'engineType': {'label': 'UCI code', 'description': 'Official UCI code for cycling teams DataTypeProperty'}, 'fastestDriverTeam': {'label': 'MeSH name', 'description': 'No description available DataTypeProperty'}, 'gameEngine': {'label': 'number of entities of Settlement class in country', 'description': 'No description available DataTypeProperty'}, 'layout': {'label': 'number of SoccerPlayers born in Place', 'description': 'No description available DataTypeProperty'}, 'musicType': {'label': 'main islands', 'description': 'No description available DataTypeProperty'}, 'numberOfVehicles': {'label': 'number of vehicles', 'description': 'Number of vehicles used in the transit system. DataTypeProperty'}, 'style': {'label': 'depth quote', 'description': 'No description available DataTypeProperty'}, 'subClassis': {'label': 'last launch', 'description': 'No description available DataTypeProperty'}, 'transmission': {'label': 'measurements', 'description': 'No description available DataTypeProperty'}, 'type': {'label': 'other wins', 'description': 'No description available DataTypeProperty'}, 'vehicle': {'label': 'area land (m2)', 'description': 'No description available DataTypeProperty'}, 'vehicleCode': {'label': 'vehicle code', 'description': 'Region related vehicle code on the vehicle plates. DataTypeProperty'}, 'vehiclesInFleet': {'label': 'faculty size', 'description': 'number of faculty members DataTypeProperty'}, 'voiceType': {'label': 'EntrezGene', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Acura', 'parentCompany', 'Honda'], ['Acura', 'industry', 'Automotive'], ['Acura_TLX', 'layout', 'Front-engine,_four-wheel-drive_layout'], ['Acura_TLX', 'bodyStyle', 'Sedan_(automobile)'], ['Acura_TLX', 'class', 'Entry-level_luxury_car'], ['Acura_TLX', 'layout', 'Front-engine,_front-wheel-drive'], ['Acura_TLX', 'manufacturer', 'Acura'], ['Acura', 'foundedBy', 'Soichiro_Honda']]Text: The Acura TLX is a mid-size car with a V6 engine and a front-wheel drive. It is assembled at the Marysville Auto Plant. bot:[('Acura_TLX', 'assembly', 'Marysville_Auto_Plant'), ('Acura_TLX', 'class', 'Mid-size_car'), ('Acura_TLX', 'engine', 'V6_engine'), ('Acura_TLX', 'layout', 'Front-wheel_drive'), ('Acura', 'type', 'Company'), ('Acura_TLX', 'type', 'Car'), ('A', 'u', 't')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'AmericanLeader': {'label': 'American Leader', 'comment': '-'}, 'Egyptologist': {'label': 'egyptologist', 'comment': '-'}, 'President': {'label': 'president', 'comment': '-'}, 'HistoricalCountry': {'label': 'Historical country', 'comment': 'ایک ایسی جگہ جو ایک ملک ہوا کرتی تھی۔'}, 'Philosopher': {'label': 'philosopher', 'comment': '-'}, 'Continent': {'label': 'continent', 'comment': '-'}, 'Pharaoh': {'label': 'Pharaoh', 'comment': '-'}, 'BritishRoyalty': {'label': 'British royalty', 'comment': '-'}, 'Language': {'label': 'language', 'comment': '-'}, 'MythologicalFigure': {'label': 'mythological figure', 'comment': '-'}} Available Properties: {'collectionSize': {'label': 'diseasesDb', 'description': 'No description available DataTypeProperty'}, 'colonialName': {'label': 'colonial name', 'description': 'No description available DataTypeProperty'}, 'country': {'label': 'eye colour', 'description': 'No description available DataTypeProperty'}, 'countryOrigin': {'label': 'number of licensed', 'description': 'nombre de personnes ayant une license pour pratiquer cette activité DataTypeProperty'}, 'countryWithFirstAstronaut': {'label': 'hairs', 'description': 'No description available DataTypeProperty'}, 'deFactoLanguage': {'label': 'certification', 'description': 'No description available DataTypeProperty'}, 'ethnicGroup': {'label': 'election date leader', 'description': 'The date that leader was elected. DataTypeProperty'}, 'ethnicity': {'label': 'school number', 'description': 'No description available DataTypeProperty'}, 'governmentCountry': {'label': 'boiling point (K)', 'description': 'No description available DataTypeProperty'}, 'historicalName': {'label': 'historical name', 'description': 'No description available DataTypeProperty'}, 'language': {'label': 'legend thumbnail localization', 'description': 'No description available DataTypeProperty'}, 'leader': {'label': 'number of all MuscialArtist playing the style', 'description': 'No description available DataTypeProperty'}, 'leaderName': {'label': 'original title', 'description': 'The original title of the work, most of the time in the original language as well DataTypeProperty'}, 'leaderParty': {'label': 'election majority', 'description': 'number of votes the office holder attained DataTypeProperty'}, 'leaderTitle': {'label': 'leader title', 'description': 'No description available DataTypeProperty'}, 'minorityLeader': {'label': 'minority leader', 'description': 'number of office holder DataTypeProperty'}, 'musicType': {'label': 'main islands', 'description': 'No description available DataTypeProperty'}, 'namedByLanguage': {'label': 'maximum temperature (K)', 'description': 'No description available DataTypeProperty'}, 'nationality': {'label': 'national tournament bronze', 'description': 'No description available DataTypeProperty'}, 'originalLanguage': {'label': 'lchf draft year', 'description': 'No description available DataTypeProperty'}, 'president': {'label': 'hopman cup', 'description': 'No description available DataTypeProperty'}, 'race': {'label': 'displacement (g)', 'description': "A ship's displacement is its mass at any given time. DataTypeProperty"}, 'refcul': {'label': 'reference for cultural data', 'description': 'No description available DataTypeProperty'}, 'spokenIn': {'label': 'Total Pandemic Cases', 'description': 'Total number of cases in a pandemic DataTypeProperty'}, 'type': {'label': 'other wins', 'description': 'No description available DataTypeProperty'}, 'veneratedIn': {'label': 'free score competition', 'description': 'No description available DataTypeProperty'}, 'voice': {'label': 'lunar landing site', 'description': 'No description available DataTypeProperty'}, 'voiceType': {'label': 'EntrezGene', 'description': 'No description available DataTypeProperty'}, 'wordBefore': {'label': 'word before the country', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Great_Britain', 'location', 'Northwestern_Europe'], ['United_Kingdom', 'house', 'House_of_Lords'], ['Southern_United_States', 'subdivision', 'Kentucky'], ['English_language', 'languageFamily', 'Germanic_languages'], ['United_States', 'ethnicGroup', 'African_Americans'], ['Southern_United_States', 'subdivision', 'Maryland'], ['Southern_United_States', 'subdivision', 'South_Central_United_States'], ['Southern_United_States', 'subdivision', 'Virginia'], ['British_Isles', 'location', 'North-western_Europe'], ['African_Americans', 'religion', 'Mainline_Protestant'], ['African_Americans', 'language', 'Louisiana_Creole_French'], ['United_States', 'ethnicGroup', 'Hispanic_and_Latino_Americans'], ['United_States', 'ethnicGroup', 'Race_and_ethnicity_in_the_United_States_census'], ['New_York_City', 'country', 'United_States'], ['Gullah_language', 'spokenIn', 'South_Carolina'], ['United_States_Senate', 'isPartOf', 'United_States_Congress'], ['Southern_United_States', 'subdivision', 'East_South_Central_States'], ['United_States', 'house', 'United_States_House_of_Representatives'], ['English_language', 'languageFamily', 'North_Sea_Germanic'], ['African_Americans', 'language', 'African-American_English'], ['Gullah_language', 'spokenIn', 'United_States'], ['African_Americans', 'language', 'American_English'], ['Southern_United_States', 'subdivision', 'Mid-Atlantic_(United_States)'], ['Southern_United_States', 'subdivision', 'Louisiana'], ['Southern_United_States', 'subdivision', 'South_Carolina'], ['United_Kingdom', 'ethnicGroup', 'Black_British'], ['United_Kingdom', 'ethnicGroup', 'Mixed_(United_Kingdom_ethnicity_category)'], ['American_English', 'spokenIn', 'United_States'], ['United_States', 'currency', 'United_States_dollar'], ['Southern_United_States', 'subdivision', 'Oklahoma'], ['Southern_United_States', 'subdivision', 'Tennessee'], ['United_States', 'ethnicGroup', 'Asian_Americans'], ['Southern_United_States', 'subdivision', 'District_of_Columbia'], ['Southern_United_States', 'subdivision', 'Texas'], ['African_Americans', 'populationPlace', 'Southern_United_States'], ['United_Kingdom', 'house', 'House_of_Commons_of_the_United_Kingdom'], ['United_States', 'ethnicGroup', 'Native_Americans_in_the_United_States'], ['United_States_House_of_Representatives', 'isPartOf', 'United_States_Congress'], ['United_States', 'ethnicGroup', 'Multiracial_Americans'], ['Southern_United_States', 'subdivision', 'West_Virginia'], ['African_Americans', 'populationPlace', 'List_of_United_States_urban_areas'], ['Southern_United_States', 'subdivision', 'West_South_Central_States'], ['English_language', 'languageFamily', 'Anglo-Frisian_languages'], ['United_States', 'house', 'United_States_Senate'], ['Southern_United_States', 'subdivision', 'Deep_South'], ['Southern_United_States', 'subdivision', 'Delaware'], ['Southern_United_States', 'subdivision', 'South_Atlantic_States'], ['Southern_United_States', 'subdivision', 'North_Carolina'], ['Gullah_language', 'spokenIn', 'Georgia_(U.S._state)'], ['African_Americans', 'religion', 'Evangelical_Protestant'], ['United_States', 'ethnicGroup', 'Pacific_Islander_Americans'], ['Southern_United_States', 'subdivision', 'Florida'], ['United_Kingdom', 'ethnicGroup', 'British_Asian'], ['Southern_United_States', 'subdivision', 'Mississippi'], ['United_States', 'ethnicGroup', 'White_Americans'], ['Great_Britain', 'country', 'United_Kingdom'], ['Southern_United_States', 'subdivision', 'Arkansas'], ['Southern_United_States', 'subdivision', 'Upland_South'], ['English_language', 'languageFamily', 'West_Germanic_languages'], ['African_Americans', 'language', 'Gullah_language'], ['United_States', 'largestCity', 'New_York_City'], ['African_Americans', 'religion', 'Protestant'], ['Southern_United_States', 'subdivision', 'Georgia_(U.S._state)'], ['Southern_United_States', 'subdivision', 'Alabama'], ['English_language', 'soundRecording', 'English_language__Sound__1'], ['United_Kingdom', 'ethnicGroup', 'White_people_in_the_United_Kingdom'], ['Great_Britain', 'archipelago', 'British_Isles']]Text: A Wizard of Mars was Published in the United States, where African Americans are one ethnic group and the leader is called a President. The language spoken there is English, originated in Great Britain. bot:[('A_Wizard_of_Mars', 'country', 'United_States'), ('United_States', 'ethnicGroup', 'African_Americans'), ('United_States', 'language', 'English_language'), ('United_States', 'leaderTitle', 'President_of_the_United_States'), ('English_language', 'spokenIn', 'Great_Britain'), ('African_Americans', 'type', 'EthnicGroup'), ('United_States', 'type', 'Location'), ('United_States', 'type', 'Country'), ('English_language', 'type', 'Language'), ('A_Wizard_of_Mars', 'type', 'Work'), ('Great_Britain', 'type', 'Location'), ('Great_Britain', 'type', 'Place'), ('A_Wizard_of_Mars', 'type', 'Book')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'BritishRoyalty': {'label': 'British royalty', 'comment': '-'}, 'Minister': {'label': 'minister', 'comment': '-'}, 'Parliament': {'label': 'parliament', 'comment': '-'}, 'PrimeMinister': {'label': 'prime minister', 'comment': '-'}, 'MemberOfParliament': {'label': 'member of parliament', 'comment': '-'}, 'GovernmentCabinet': {'label': 'cabinet of ministers', 'comment': 'A cabinet is a body of high-ranking state officials, typically consisting of the top leaders of the executive branch.'}, 'HistoricalCountry': {'label': 'Historical country', 'comment': 'ایک ایسی جگہ جو ایک ملک ہوا کرتی تھی۔'}, 'VicePrimeMinister': {'label': 'vice prime minister', 'comment': '-'}, 'Chancellor': {'label': 'chancellor', 'comment': '-'}, 'Cemetery': {'label': 'cemetery', 'comment': 'A burial place'}} Available Properties: {'causeOfDeath': {'label': 'cause of death', 'description': "underlying or immediate cause of death. Underlying cause (e.g. car accident, stomach cancer) preferred. Use 'manner of death' (P1196) for broadest category, e.g. natural causes, accident, homicide, suicide DataTypeProperty"}, 'deadInFightDate': {'label': 'dead in fight date', 'description': 'No description available DataTypeProperty'}, 'deathDate': {'label': 'death date', 'description': 'No description available DataTypeProperty'}, 'deathPlace': {'label': 'dress code', 'description': 'The recommended dress code for an establishment or event. DataTypeProperty'}, 'deathYear': {'label': 'death year', 'description': 'No description available DataTypeProperty'}, 'infantMortality': {'label': 'infant mortality', 'description': 'No description available DataTypeProperty'}, 'jockey': {'label': 'route direction', 'description': 'The general direction of the route (eg. North-South). DataTypeProperty'}, 'killedBy': {'label': 'killed by', 'description': 'person who killed the subject DataTypeProperty'}, 'leader': {'label': 'number of all MuscialArtist playing the style', 'description': 'No description available DataTypeProperty'}, 'leaderName': {'label': 'original title', 'description': 'The original title of the work, most of the time in the original language as well DataTypeProperty'}, 'leaderParty': {'label': 'election majority', 'description': 'number of votes the office holder attained DataTypeProperty'}, 'leaderTitle': {'label': 'leader title', 'description': 'No description available DataTypeProperty'}, 'livingPlace': {'label': 'temperature (K)', 'description': 'No description available DataTypeProperty'}, 'memberOfParliament': {'label': 'cloth size', 'description': 'No description available DataTypeProperty'}, 'minister': {'label': 'ship beam (μ)', 'description': 'The beam of a ship is its width at the widest point. DataTypeProperty'}, 'monarch': {'label': 'demolition date', 'description': 'The date the building was demolished. DataTypeProperty'}, 'numberOfDeaths': {'label': 'number of deaths', 'description': 'total (cumulative) number of people who died since start as a direct result of an event or cause DataTypeProperty'}, 'olivierAward': {'label': 'population density (/sqkm)', 'description': 'No description available DataTypeProperty'}, 'pandemicDeaths': {'label': 'Deaths', 'description': 'Permanent, irreversible cessation of all biological functions that sustain a living organism ObjectTypeProperty'}, 'parliament': {'label': 'CMP EVA duration (s)', 'description': 'No description available DataTypeProperty'}, 'pendamicDeaths': {'label': 'Deaths', 'description': 'Permanent, irreversible cessation of all biological functions that sustain a living organism ObjectTypeProperty'}, 'placeOfBurial': {'label': 'depth (μ)', 'description': 'Is a measure of the distance between a reference height and a point underneath. The exact meaning for a place is unclear. If possible, use or to be unambiguous. DataTypeProperty'}, 'presidentGeneralCouncil': {'label': 'discharge (m³/s)', 'description': 'No description available DataTypeProperty'}, 'primeMinister': {'label': 'number of entities of Person class born in the place', 'description': 'No description available DataTypeProperty'}, 'principalEngineer': {'label': 'casualties', 'description': 'Number of casualties of a MilitaryConflict or natural disaster such as an Earthquake DataTypeProperty'}, 'solicitorGeneral': {'label': 'is part of (literal)', 'description': 'Name of another thing that this thing is part of. Use for infobox "part of" properties given as text; for objects use isPartOf DataTypeProperty'}, 'vicePrimeMinister': {'label': 'road end direction', 'description': 'End of the route. The opposite of OntologyProperty:routeStartDirection. DataTypeProperty'}} Subgraph:[['Sidcup', 'country', 'England'], ['London_postal_district', 'country', 'WC_postcode_area'], ['Alfred_Garth_Jones', 'deathPlace', 'Sidcup'], ['United_Kingdom', 'timeZone', 'Greenwich_Mean_Time'], ['London_postal_district', 'country', 'SW_postcode_area'], ['London', 'timeZone', 'Greenwich_Mean_Time'], ['Boris_Johnson', 'birthPlace', 'New_York_City'], ['London_postal_district', 'country', 'SE_postcode_area'], ['Parliament_of_the_United_Kingdom', 'location', 'Palace_of_Westminster'], ['London_postal_district', 'country', 'EC_postcode_area'], ['Parliament_of_the_United_Kingdom', 'location', 'London'], ['Palace_of_Westminster', 'location', 'London'], ['London_postal_district', 'country', 'W_postcode_area'], ['Sidcup', 'region', 'London_postal_district'], ['London_postal_district', 'country', 'N_postcode_area'], ['London', 'timeZone', 'British_Summer_Time'], ['Parliament_of_the_United_Kingdom', 'location', 'City_of_Westminster'], ['London_postal_district', 'country', 'NW_postcode_area'], ['Palace_of_Westminster', 'location', 'City_of_Westminster'], ['New_York_City', 'timeZone', 'Eastern_Time_Zone'], ['London_postal_district', 'country', 'E_postcode_area'], ['Parliament_of_the_United_Kingdom', 'location', 'United_Kingdom'], ['Palace_of_Westminster', 'location', 'United_Kingdom'], ['Sidcup', 'country', 'United_Kingdom'], ['United_Kingdom', 'timeZone', 'Western_European_Time']]Text: Alfred Garth Jones died Sidcup, in London, the city led by Boris Johnson and governed by the Parliament of the U.K. bot:[('Alfred_Garth_Jones', 'deathPlace', 'London'), ('Alfred_Garth_Jones', 'deathPlace', 'Sidcup'), ('London', 'leader', 'Boris_Johnson'), ('London', 'leaderTitle', 'Parliament_of_the_United_Kingdom'), ('London', 'type', 'City')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'Language': {'label': 'language', 'comment': '-'}, 'HistoricalCountry': {'label': 'Historical country', 'comment': 'ایک ایسی جگہ جو ایک ملک ہوا کرتی تھی۔'}, 'IceHockeyLeague': {'label': 'ice hockey league', 'comment': 'a group of sports teams that compete against each other in Ice Hockey.'}, 'Glacier': {'label': 'glacier', 'comment': '-'}, 'Linguist': {'label': 'linguist', 'comment': '-'}} Available Properties: {'capital': {'label': 'function end year', 'description': 'No description available DataTypeProperty'}, 'capitalPlace': {'label': 'election date', 'description': 'No description available DataTypeProperty'}, 'capitalPosition': {'label': 'MeSH ID', 'description': 'No description available DataTypeProperty'}, 'collectionSize': {'label': 'diseasesDb', 'description': 'No description available DataTypeProperty'}, 'colonialName': {'label': 'colonial name', 'description': 'No description available DataTypeProperty'}, 'country': {'label': 'eye colour', 'description': 'No description available DataTypeProperty'}, 'countryCode': {'label': 'country code', 'description': 'Country code for telephone numbers. DataTypeProperty'}, 'deFactoLanguage': {'label': 'certification', 'description': 'No description available DataTypeProperty'}, 'governmentCountry': {'label': 'boiling point (K)', 'description': 'No description available DataTypeProperty'}, 'language': {'label': 'legend thumbnail localization', 'description': 'No description available DataTypeProperty'}, 'languageCode': {'label': 'language code', 'description': 'No description available DataTypeProperty'}, 'namedByLanguage': {'label': 'maximum temperature (K)', 'description': 'No description available DataTypeProperty'}, 'officialLanguage': {'label': 'free flight time (s)', 'description': 'No description available DataTypeProperty'}, 'originalLanguage': {'label': 'lchf draft year', 'description': 'No description available DataTypeProperty'}, 'otherLanguage': {'label': 'other language of a settlement', 'description': 'No description available DataTypeProperty'}, 'regionalLanguage': {'label': 'first publication date', 'description': 'Date of the first publication. DataTypeProperty'}, 'spokenIn': {'label': 'Total Pandemic Cases', 'description': 'Total number of cases in a pandemic DataTypeProperty'}, 'titleLanguage': {'label': 'title language', 'description': 'No description available DataTypeProperty'}, 'veneratedIn': {'label': 'free score competition', 'description': 'No description available DataTypeProperty'}, 'voice': {'label': 'lunar landing site', 'description': 'No description available DataTypeProperty'}} Subgraph:[array(['English_language', 'languageFamily', 'Anglo-Frisian_languages'], dtype=object) array(['United_States', 'largestCity', 'New_York_City'], dtype=object) array(['Great_Britain', 'location', 'Northwestern_Europe'], dtype=object) array(['English_language', 'languageFamily', 'Germanic_languages'], dtype=object) array(['New_York_City', 'country', 'United_States'], dtype=object) array(['English_language', 'languageFamily', 'West_Germanic_languages'], dtype=object) array(['English_language', 'languageFamily', 'North_Sea_Germanic'], dtype=object) array(['English_language', 'soundRecording', 'English_language__Sound__1'], dtype=object) array(['Great_Britain', 'country', 'United_Kingdom'], dtype=object)]Text: A Fortress of Grey Ice was written in the United States. The main language of the US is English, originated in Great Britain. The capital of the US is Washington D.C. bot:[('United_States', 'capital', 'Washington,_D.C.'), ('A_Fortress_of_Grey_Ice', 'country', 'United_States'), ('United_States', 'language', 'English_language'), ('English_language', 'spokenIn', 'Great_Britain'), ('United_States', 'type', 'Location'), ('A_Fortress_of_Grey_Ice', 'type', 'Work'), ('English_language', 'type', 'Language')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'CityDistrict': {'label': 'city district', 'comment': 'District, borough, area or neighbourhood in a city or town'}, 'CapitalOfRegion': {'label': 'Capital of region', 'comment': 'seat of a first order administration division.'}, 'Prefecture': {'label': 'prefecture', 'comment': '-'}, 'Capital': {'label': 'Capital', 'comment': 'A municipality enjoying primary status in a state, country, province, or other region as its seat of government.'}, 'City': {'label': 'city', 'comment': 'a relatively large and permanent settlement, particularly a large urban settlement'}, 'Town': {'label': 'town', 'comment': 'a settlement ranging from a few hundred to several thousand (occasionally hundreds of thousands). The precise meaning varies between countries and is not always a matter of legal definition. Usually, a town is thought of as larger than a village but smaller than a city, though there are exceptions to this rule.'}, 'MetroStation': {'label': 'subway station', 'comment': '-'}, 'RailwayStation': {'label': 'train station', 'comment': '-'}, 'District': {'label': 'district', 'comment': '-'}, 'SubMunicipality': {'label': 'borough', 'comment': 'An administrative body governing a territorial unity on the lowest level, administering part of a municipality'}} Available Properties: {'activity': {'label': 'locationName', 'description': 'Location of the thing as string. Use "location" if the location is a resource DataTypeProperty'}, 'announcedFrom': {'label': 'number of platform levels', 'description': 'Number of levels of platforms at the station. DataTypeProperty'}, 'capital': {'label': 'function end year', 'description': 'No description available DataTypeProperty'}, 'capitalCoordinates': {'label': 'capital coordinates', 'description': 'No description available DataTypeProperty'}, 'capitalCountry': {'label': 'speed limit (kmh)', 'description': 'No description available DataTypeProperty'}, 'capitalDistrict': {'label': 'UniProt', 'description': 'No description available DataTypeProperty'}, 'capitalPlace': {'label': 'election date', 'description': 'No description available DataTypeProperty'}, 'capitalPosition': {'label': 'MeSH ID', 'description': 'No description available DataTypeProperty'}, 'capitalRegion': {'label': 'service end year', 'description': 'No description available DataTypeProperty'}, 'iataLocationIdentifier': {'label': 'IATA Location Identifier', 'description': 'No description available DataTypeProperty'}, 'isCityState': {'label': 'is a city state', 'description': 'No description available DataTypeProperty'}, 'isPartOf': {'label': 'orbital inclination', 'description': 'orbital inclination of a stable orbit DataTypeProperty'}, 'locatedInArea': {'label': 'mount', 'description': 'creature ridden by the subject, for instance a horse DataTypeProperty'}, 'locationCity': {'label': 'date of latest election', 'description': 'No description available DataTypeProperty'}, 'locationIdentifier': {'label': 'Location Identifier', 'description': 'No description available DataTypeProperty'}, 'municipalityRenamedTo': {'label': "a municipality's new name", 'description': 'No description available DataTypeProperty'}, 'nearestCity': {'label': 'national tournament gold', 'description': 'No description available DataTypeProperty'}, 'northPlace': {'label': 'area', 'description': 'Area of something. Use "value" for the value, "min" & "max" for a range (if uncertain) and "rank" (integer) for the rank of that thing amongst its siblings (eg regions ordered by area) DataTypeProperty'}, 'numberOfMunicipalities': {'label': 'Number Of Municipalities', 'description': 'No description available DataTypeProperty'}, 'prefecture': {'label': 'total cargo (kg)', 'description': 'No description available DataTypeProperty'}, 'presentName': {'label': "a municipality's present name", 'description': 'No description available DataTypeProperty'}, 'regionalPrefecture': {'label': 'regional prefecture', 'description': 'No description available DataTypeProperty'}, 'superTribus': {'label': 'long distance piste number', 'description': 'No description available DataTypeProperty'}, 'urbanArea': {'label': 'urban area', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Roman_Catholic_Diocese_of_Lansing', 'province', 'Roman_Catholic_Archdiocese_of_Detroit'], ['Roman_Catholic_Diocese_of_Lansing', 'jurisdiction', 'Diocese'], ['Detroit', 'country', 'United_States'], ['Michigan', 'largestCity', 'Detroit'], ['University_of_Michigan', 'city', 'Ann_Arbor,_Michigan'], ['University_of_Michigan', 'state', 'Michigan']]Text: Ann Arbor is located in Michigan where the capital is Lansing. bot:[('Michigan', 'capital', 'Lansing,_Michigan'), ('Ann_Arbor,_Michigan', 'isPartOf', 'Michigan'), ('Michigan', 'type', 'Region')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'PeriodicalLiterature': {'label': 'periodical literature', 'comment': 'Periodical literature (also called a periodical publication or simply a periodical) is a published work that appears in a new edition on a regular schedule. The most familiar examples are the newspaper, often published daily, or weekly; or the magazine, typically published weekly, monthly or as a quarterly. Other examples would be a newsletter, a literary journal or learned journal, or a yearbook.'}, 'Publisher': {'label': 'publisher', 'comment': 'Publishing company'}, 'UndergroundJournal': {'label': 'underground journal', 'comment': 'An underground journal is, although over time there have always been publications forbidden by law, a phenomenon typical of countries occupied by the Germans during the Second World War. The writing in the underground press aims at stiffening a spirit of resistance against Nazi occupation. The distribution of underground journals had to be very secretive and was, therefore, very much dependant on illegal distribution circuits and the hazards of persecution by the occupant.'}, 'MultiVolumePublication': {'label': 'multi volume publication', 'comment': '-'}, 'Manga': {'label': 'manga', 'comment': 'Manga are comics created in Japan'}} Available Properties: {'aircraftFighter': {'label': 'gini coefficient as of', 'description': 'No description available DataTypeProperty'}, 'finalPublicationYear': {'label': 'final publication year', 'description': 'Year of the final publication. DataTypeProperty'}, 'firstPublicationDate': {'label': 'first publication date', 'description': 'Date of the first publication. DataTypeProperty'}, 'firstPublicationYear': {'label': 'first publication year', 'description': 'Year of the first publication. DataTypeProperty'}, 'firstPublisher': {'label': 'population density rural (/sqkm)', 'description': 'No description available DataTypeProperty'}, 'lastPublicationDate': {'label': 'last publication date', 'description': 'Date of the last publication. DataTypeProperty'}, 'magazine': {'label': 'mukthar of a lebanon settlement', 'description': 'No description available DataTypeProperty'}, 'notableWork': {'label': 'number of piers in water', 'description': 'Number of piers standing in a river or other water in normal conditions. DataTypeProperty'}, 'publicationDate': {'label': 'publication date', 'description': 'date or point in time when a work was first published or released DataTypeProperty'}, 'publisher': {'label': 'lethal when given to rats', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Demon_Fighter_Kocho', 'publisher', 'Shueisha'], ['Shueisha', 'locationCity', 'Chiyoda,_Tokyo'], ['Weekly_Young_Jump', 'publisher', 'Shueisha'], ['Weekly_Young_Jump', 'genre', 'Seinen_manga'], ['Demon_Fighter_Kocho', 'magazine', 'Weekly_Young_Jump']]Text: Demon Fighter Kocho was published in the Shueisha seinen magazine Weekly Young Jump with the chapters bound into four volumes between September 1995 and October 1997. bot:[('Demon_Fighter_Kocho', 'publicationDate', '00__1997')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'Song': {'label': 'song', 'comment': '-'}, 'Album': {'label': 'album', 'comment': '-'}, 'SongWriter': {'label': 'songwriter', 'comment': 'a person who writes songs.'}, 'MusicalArtist': {'label': 'musical artist', 'comment': '-'}, 'Manhua': {'label': 'manhua', 'comment': 'Comics originally produced in China'}} Available Properties: {'album': {'label': 'human development index as of', 'description': 'No description available DataTypeProperty'}, 'artist': {'label': 'endangered since', 'description': 'No description available DataTypeProperty'}, 'associatedMusicalArtist': {'label': 'iafd id', 'description': 'No description available DataTypeProperty'}, 'circle': {'label': 'lowest', 'description': 'No description available DataTypeProperty'}, 'littlePoolRecord': {'label': 'little pool record', 'description': 'No description available DataTypeProperty'}, 'mainArtist': {'label': 'extraction datetime', 'description': "Date a page was extracted '''''' DataTypeProperty"}, 'min': {'label': 'extraction datetime', 'description': "Date a page was extracted '''''' DataTypeProperty"}, 'musicBy': {'label': 'national championship', 'description': 'No description available DataTypeProperty'}, 'musicalArtist': {'label': 'weight (kg)', 'description': 'No description available DataTypeProperty'}, 'numberOfAlbums': {'label': 'number of albums', 'description': 'the total number of albums released by the musical artist DataTypeProperty'}, 'numberOfStudioAlbums': {'label': 'number of studio albums', 'description': 'the number of studio albums released by the musical artist DataTypeProperty'}, 'performer': {'label': 'apoapsis (km)', 'description': 'No description available DataTypeProperty'}} Subgraph:[['James_Brown', 'deathPlace', 'Atlanta,_Georgia'], ['Nice', 'intercommunality', "Métropole_Nice_Côte_d'Azur"], ['Little_Willie_John', 'recordLabel', 'King_Records_(United_States)']]Text: Thinking About Little Willie John and a Few Nice Things is the 21st studio album by American musician James Brown. bot:[('Thinking_About_Little_Willie_John_and_a_Few_Nice_Things', 'performer', 'James_Brown')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'Manhwa': {'label': 'manhwa', 'comment': 'Korean term for comics and print cartoons'}, 'Cricketer': {'label': 'cricketer', 'comment': '-'}, 'NationalSoccerClub': {'label': 'national soccer club', 'comment': '-'}, 'Prefecture': {'label': 'prefecture', 'comment': '-'}, 'Village': {'label': 'village', 'comment': 'a clustered human settlement or community, usually smaller a town'}, 'NarutoCharacter': {'label': 'naruto character', 'comment': '-'}, 'CricketTeam': {'label': 'cricket team', 'comment': '-'}, 'HistoricalCountry': {'label': 'Historical country', 'comment': 'ایک ایسی جگہ جو ایک ملک ہوا کرتی تھی۔'}, 'MemberOfParliament': {'label': 'member of parliament', 'comment': '-'}, 'MartialArtist': {'label': 'martial artist', 'comment': '-'}} Available Properties: {'amgid': {'label': 'amgId', 'description': 'No description available DataTypeProperty'}, 'chairman': {'label': 'id number', 'description': 'No description available DataTypeProperty'}, 'chairmanTitle': {'label': 'chairman title', 'description': 'No description available DataTypeProperty'}, 'chairperson': {'label': 'number of items in collection', 'description': 'Indication as to the size of the collection of this library DataTypeProperty'}, 'city': {'label': 'illiteracy', 'description': 'No description available DataTypeProperty'}, 'collectionSize': {'label': 'diseasesDb', 'description': 'No description available DataTypeProperty'}, 'country': {'label': 'eye colour', 'description': 'No description available DataTypeProperty'}, 'foundedBy': {'label': 'little pool record', 'description': 'No description available DataTypeProperty'}, 'governmentCountry': {'label': 'boiling point (K)', 'description': 'No description available DataTypeProperty'}, 'isniId': {'label': 'ISNI Id', 'description': 'ISNI is a method for uniquely identifying the public identities of contributors to media content such as books, TV programmes, and newspaper articles. DataTypeProperty'}, 'leader': {'label': 'number of all MuscialArtist playing the style', 'description': 'No description available DataTypeProperty'}, 'leaderName': {'label': 'original title', 'description': 'The original title of the work, most of the time in the original language as well DataTypeProperty'}, 'leaderParty': {'label': 'election majority', 'description': 'number of votes the office holder attained DataTypeProperty'}, 'location': {'label': 'currency code', 'description': 'ISO 4217 currency designators. DataTypeProperty'}, 'locationCity': {'label': 'date of latest election', 'description': 'No description available DataTypeProperty'}, 'managementCountry': {'label': 'length (mm)', 'description': 'No description available DataTypeProperty'}, 'musicType': {'label': 'main islands', 'description': 'No description available DataTypeProperty'}, 'nndbId': {'label': 'NNDB id', 'description': 'No description available DataTypeProperty'}, 'ons': {'label': 'ONS ID (Office national des statistiques) Algeria', 'description': 'No description available DataTypeProperty'}, 'prefecture': {'label': 'total cargo (kg)', 'description': 'No description available DataTypeProperty'}, 'type': {'label': 'other wins', 'description': 'No description available DataTypeProperty'}, 'voiceType': {'label': 'EntrezGene', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Delhi', 'country', 'India'], ['Lok_Sabha', 'isPartOf', 'Parliament_of_India'], ['Anandiben_Patel__Tenure__9', 'constituencyDistrict', 'Gujarat'], ['Anandiben_Patel', 'termPeriod', 'Anandiben_Patel__Tenure__6'], ['Gujarat', 'country', 'India'], ['Anandiben_Patel', 'termPeriod', 'Anandiben_Patel__Tenure__8'], ['Gujarat', 'subdivision', 'Districts_of_Gujarat'], ['Kharod', 'timeZone', 'Indian_Standard_Time'], ['Lok_Sabha', 'location', 'Sansad_Marg'], ['Rajya_Sabha', 'isPartOf', 'Parliament_of_India'], ['Ahmedabad', 'country', 'India'], ['Parliament_of_India', 'location', 'Republic_of_India'], ['Anandiben_Patel__Tenure__7', 'constituencyDistrict', 'Patan_(Gujarat_Vidhan_Sabha_constituency)'], ['Kharod', 'country', 'India'], ['Parliament_of_India', 'location', 'New_Delhi'], ['Lok_Sabha', 'location', 'India'], ['Anandiben_Patel', 'termPeriod', 'Anandiben_Patel__Tenure__5'], ['Kharod', 'subdivision', 'Chhattisgarh'], ['Anandiben_Patel', 'birthPlace', 'Kharod'], ['Rajya_Sabha', 'location', 'New_Delhi'], ['Anandiben_Patel', 'termPeriod', 'Anandiben_Patel__Tenure__2'], ['Anandiben_Patel', 'termPeriod', 'Anandiben_Patel__Tenure__9'], ['Parliament_of_India', 'location', 'Sansad_Marg'], ['Lok_Sabha', 'location', 'Sansad_Bhavan'], ['India', 'house', 'Rajya_Sabha'], ['Amdavad_ni_Gufa', 'location', 'Ahmedabad'], ['Mumbai', 'country', 'India'], ['Rajya_Sabha', 'location', 'Sansad_Marg'], ['Anandiben_Patel', 'residence', 'Raj_Bhavan,_Lucknow'], ['Anandiben_Patel__Tenure__8', 'constituencyDistrict', 'Mandal'], ['India', 'largestCity', 'Mumbai'], ['Anandiben_Patel', 'termPeriod', 'Anandiben_Patel__Tenure__1'], ['India', 'largestCity', 'Delhi'], ['India', 'topLevelDomain', '.in'], ['Rajya_Sabha', 'location', 'India'], ['Parliament_of_India', 'location', 'Parliament_House,_New_Delhi'], ['Anandiben_Patel', 'party', 'Bharatiya_Janata_Party'], ['Kharod', 'subdivision', 'Janjgir-Champa_district'], ['Anandiben_Patel', 'birthPlace', 'British_India'], ['Rajya_Sabha', 'location', 'Sansad_Bhavan'], ['Anandiben_Patel', 'termPeriod', 'Anandiben_Patel__Tenure__7'], ['India', 'legislature', 'Parliament_of_India'], ['Anandiben_Patel__Tenure__6', 'constituencyDistrict', 'Ghatlodiya_(Vidhan_Sabha_constituency)'], ['Anandiben_Patel', 'termPeriod', 'Anandiben_Patel__Tenure__4'], ['Anandiben_Patel', 'birthPlace', 'Bombay_Presidency'], ['Amdavad_ni_Gufa', 'country', 'India'], ['Amdavad_ni_Gufa', 'location', 'Gujarat'], ['Anandiben_Patel', 'termPeriod', 'Anandiben_Patel__Tenure__3'], ['Lok_Sabha', 'location', 'New_Delhi'], ['India', 'house', 'Lok_Sabha']]Text: Amdavad ni Gufa is located in Gujarat, India. The leader of Gujarat is Anandiben Patel and T.S. Thakur was an Indian leader. bot:[('Amdavad_ni_Gufa', 'country', 'India'), ('Gujarat', 'leader', 'Anandiben_Patel'), ('India', 'leader', 'T._S._Thakur'), ('Amdavad_ni_Gufa', 'location', 'Gujarat'), ('Amdavad_ni_Gufa', 'type', 'ArchitecturalStructure'), ('T._S._Thakur', 'type', 'Politician'), ('T._S._Thakur', 'type', 'Eukaryote'), ('Anandiben_Patel', 'type', 'Politician'), ('Anandiben_Patel', 'type', 'Eukaryote'), ('India', 'type', 'Country'), ('Gujarat', 'type', 'Place'), ('Gujarat', 'type', 'Location'), ('Amdavad_ni_Gufa', 'type', 'Building'), ('India', 'type', 'Location')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'FootballLeagueSeason': {'label': 'football league season', 'comment': '-'}, 'NationalFootballLeagueSeason': {'label': 'national football league season', 'comment': '-'}, 'NationalFootballLeagueEvent': {'label': 'national football league event', 'comment': '-'}, 'SoccerClubSeason': {'label': 'soccer club season', 'comment': '-'}, 'SoccerLeagueSeason': {'label': 'soccer league season', 'comment': '-'}, 'InternationalFootballLeagueEvent': {'label': 'international football league event', 'comment': '-'}, 'AustralianFootballLeague': {'label': 'australian football league', 'comment': 'A group of sports teams that compete against each other in australian football.'}, 'NationalSoccerClub': {'label': 'national soccer club', 'comment': '-'}, 'FootballMatch': {'label': 'football match', 'comment': 'a competition between two football teams'}, 'HandballLeague': {'label': 'handball league', 'comment': 'a group of sports teams that compete against each other in Handball'}} Available Properties: {'appearancesInLeague': {'label': 'appearances in league', 'description': 'No description available DataTypeProperty'}, 'appearancesInNationalTeam': {'label': 'appearances in national team', 'description': 'No description available DataTypeProperty'}, 'clubsRecordGoalscorer': {'label': 'memorial ID number', 'description': 'Identifier for monuments of the Memorial type DataTypeProperty'}, 'coachClub': {'label': 'block', 'description': 'No description available DataTypeProperty'}, 'currentLeague': {'label': 'distance to London (μ)', 'description': 'No description available DataTypeProperty'}, 'europeanChampionship': {'label': 'european championship', 'description': 'No description available DataTypeProperty'}, 'goalsInLeague': {'label': 'goals in league', 'description': 'No description available DataTypeProperty'}, 'lastSeason': {'label': 'last season', 'description': 'No description available DataTypeProperty'}, 'leagueManager': {'label': 'minimum temperature (K)', 'description': 'No description available DataTypeProperty'}, 'managerClub': {'label': 'Gray subject', 'description': "Refers to the famous 1918 edition of Gray's Anatomy. DataTypeProperty"}, 'managerSeason': {'label': 'date construction', 'description': 'No description available DataTypeProperty'}, 'managerYearsEndYear': {'label': 'manager years end year', 'description': 'No description available DataTypeProperty'}, 'managerYearsStartYear': {'label': 'manager years start year', 'description': 'No description available DataTypeProperty'}, 'nationalTeamYear': {'label': 'national team year', 'description': 'No description available DataTypeProperty'}, 'nflSeason': {'label': 'nfl season', 'description': 'No description available DataTypeProperty'}, 'playerSeason': {'label': 'decide date', 'description': 'No description available DataTypeProperty'}, 'prospectLeague': {'label': 'phone prefix', 'description': "Don't use this, use areaCode DataTypeProperty"}, 'season': {'label': 'olympic games gold', 'description': 'No description available DataTypeProperty'}, 'seasonManager': {'label': 'season manager', 'description': 'No description available DataTypeProperty'}, 'soccerLeagueRelegated': {'label': 'amateur year', 'description': 'No description available DataTypeProperty'}, 'soccerLeagueSeason': {'label': 'amgId', 'description': 'No description available DataTypeProperty'}, 'soccerTournamentThisSeason': {'label': 'architectural movement', 'description': 'No description available DataTypeProperty'}, 'youthClub': {'label': 'flag caption', 'description': 'No description available DataTypeProperty'}} Subgraph:nanText: In the season 2014-2015 Blackpool played in the North West Counties Football League. bot:[('A.F.C._Blackpool', 'season', '2014–15_North_West_Counties_Football_League'), ('A.F.C._Blackpool', 'type', 'SportsClub')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'Capital': {'label': 'Capital', 'comment': 'A municipality enjoying primary status in a state, country, province, or other region as its seat of government.'}, 'Bank': {'label': 'bank', 'comment': 'a company which main services are banking or financial services.'}, 'Company': {'label': 'company', 'comment': '-'}, 'Municipality': {'label': 'municipality', 'comment': 'An administrative body governing a territorial unity on the lower level, administering one or a few more settlements'}, 'CapitalOfRegion': {'label': 'Capital of region', 'comment': 'seat of a first order administration division.'}, 'City': {'label': 'city', 'comment': 'a relatively large and permanent settlement, particularly a large urban settlement'}, 'Village': {'label': 'village', 'comment': 'a clustered human settlement or community, usually smaller a town'}, 'Prefecture': {'label': 'prefecture', 'comment': '-'}, 'Province': {'label': 'province', 'comment': 'An administrative body governing a territorial unity on the intermediate level, between local and national level'}, 'LawFirm': {'label': 'law firm', 'comment': 'A law firm is a business entity formed by one or more lawyers to engage in the practice of law. The primary service provided by a law firm is to advise clients (individuals or corporations) about their legal rights and responsibilities, and to represent their clients in civil or criminal cases, business transactions, and other matters in which legal advice and other assistance are sought.'}} Available Properties: {'building': {'label': 'BRIN code', 'description': 'The code used by the Dutch Ministry of Education to identify a school (as an organisation) DataTypeProperty'}, 'capital': {'label': 'function end year', 'description': 'No description available DataTypeProperty'}, 'capitalCountry': {'label': 'speed limit (kmh)', 'description': 'No description available DataTypeProperty'}, 'capitalPosition': {'label': 'MeSH ID', 'description': 'No description available DataTypeProperty'}, 'company': {'label': 'inclination', 'description': 'No description available DataTypeProperty'}, 'foundationPlace': {'label': 'Genome DB', 'description': 'the edition of the database used (i.e. hg19) DataTypeProperty'}, 'foundedBy': {'label': 'little pool record', 'description': 'No description available DataTypeProperty'}, 'livingPlace': {'label': 'temperature (K)', 'description': 'No description available DataTypeProperty'}, 'musicType': {'label': 'main islands', 'description': 'No description available DataTypeProperty'}, 'nameInCantoneseChinese': {'label': 'name in Yue Chinese', 'description': 'No description available DataTypeProperty'}, 'nameInMinnanyuChinese': {'label': 'name in Minnanyu Chinese', 'description': 'No description available DataTypeProperty'}, 'nameInPinyinChinese': {'label': 'name in Pinyin Chinese', 'description': 'No description available DataTypeProperty'}, 'nameInSimplifiedChinese': {'label': 'name in Simplified Chinese', 'description': 'No description available DataTypeProperty'}, 'nameInTraditionalChinese': {'label': 'name in Traditional Chinese', 'description': 'No description available DataTypeProperty'}, 'type': {'label': 'other wins', 'description': 'No description available DataTypeProperty'}, 'voiceType': {'label': 'EntrezGene', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Chinabank', 'location', 'Paseo_de_Roxas'], ['Manila', 'politicalLeader', 'Manila__PoliticalFunction__4'], ['Manila', 'politicalLeader', 'Manila__PoliticalFunction__3'], ['Paseo_de_Roxas', 'location', 'Makati'], ['Chinabank', 'location', 'Philippines'], ['Chinabank', 'location', 'Makati'], ['Manila', 'politicalLeader', 'Manila__PoliticalFunction__2'], ['Manila', 'country', 'Philippines'], ['Philippines', 'largestCity', 'Quezon_City'], ['Manila', 'politicalLeader', 'Manila__PoliticalFunction__5'], ['Paseo_de_Roxas', 'routeStart', 'Arnaiz_Avenue'], ['Manila', 'timeZone', 'Philippine_Standard_Time'], ['Paseo_de_Roxas', 'location', 'Metro_Manila'], ['Manila', 'politicalLeader', 'Manila__PoliticalFunction__1']]Text: Founded in the capital city of Manila, Chinabank is a publicly traded company. bot:[('Chinabank', 'foundationPlace', 'Manila'), ('Manila', 'type', 'Location'), ('Chinabank', 'type', 'Company'), ('Manila', 'type', 'Capital_city'), ('Chinabank', 'type', 'Public_company'), ('Manila', 'type', 'Place')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'AmericanLeader': {'label': 'American Leader', 'comment': '-'}, 'Mayor': {'label': 'mayor', 'comment': '-'}, 'Chancellor': {'label': 'chancellor', 'comment': '-'}, 'Governor': {'label': 'governor', 'comment': '-'}, 'JewishLeader': {'label': 'JewishLeader', 'comment': '-'}, 'PoliceOfficer': {'label': 'Police Officer', 'comment': '-'}, 'SoccerManager': {'label': 'soccer manager', 'comment': '-'}, 'TelevisionHost': {'label': 'television host', 'comment': '-'}, 'President': {'label': 'president', 'comment': '-'}, 'VicePresident': {'label': 'vice president', 'comment': '-'}} Available Properties: {'ceo': {'label': 'episode number', 'description': 'The episode number of the TelevisionEpisode. DataTypeProperty'}, 'chairman': {'label': 'id number', 'description': 'No description available DataTypeProperty'}, 'chairmanTitle': {'label': 'chairman title', 'description': 'No description available DataTypeProperty'}, 'chairperson': {'label': 'number of items in collection', 'description': 'Indication as to the size of the collection of this library DataTypeProperty'}, 'chancellor': {'label': 'squad number', 'description': 'The number that an athlete wears in a team sport. DataTypeProperty'}, 'electionDateLeader': {'label': 'election date leader', 'description': 'The date that leader was elected. DataTypeProperty'}, 'founder': {'label': 'local phone prefix', 'description': 'No description available DataTypeProperty'}, 'leader': {'label': 'number of all MuscialArtist playing the style', 'description': 'No description available DataTypeProperty'}, 'leaderName': {'label': 'original title', 'description': 'The original title of the work, most of the time in the original language as well DataTypeProperty'}, 'leaderParty': {'label': 'election majority', 'description': 'number of votes the office holder attained DataTypeProperty'}, 'leaderTitle': {'label': 'leader title', 'description': 'No description available DataTypeProperty'}, 'majorityFloorLeader': {'label': 'majority floor leader', 'description': 'number of office holder DataTypeProperty'}, 'majorityLeader': {'label': 'majority leader', 'description': 'number of office holder DataTypeProperty'}, 'mayorArticle': {'label': 'mayor article', 'description': 'No description available DataTypeProperty'}, 'mayorCouncillor': {'label': 'mayor councillor', 'description': 'No description available DataTypeProperty'}, 'minorityFloorLeader': {'label': 'minority floor leader', 'description': 'number of office holder DataTypeProperty'}, 'minorityLeader': {'label': 'minority leader', 'description': 'number of office holder DataTypeProperty'}, 'politicalLeader': {'label': 'non professional career', 'description': 'No description available DataTypeProperty'}, 'politician': {'label': 'leadership', 'description': 'No description available DataTypeProperty'}, 'viceLeader': {'label': 'security', 'description': 'Safety precautions that are used in the building. DataTypeProperty'}} Subgraph:[['Chicago', 'governingBody', 'Chicago_City_Council'], ['Rahm_Emanuel', 'education', 'Sarah_Lawrence_College'], ['Chicago', 'politicalLeader', 'Chicago__PoliticalFunction__3'], ['Rahm_Emanuel', 'party', 'Democratic_Party_(United_States)'], ['Chicago', 'politicalLeader', 'Chicago__PoliticalFunction__1'], ['Chicago', 'politicalLeader', 'Chicago__PoliticalFunction__2'], ['Chicago', 'founder', 'Jean_Baptiste_Point_du_Sable'], ['Rahm_Emanuel', 'education', 'Northwestern_University']]Text: Rahm Emanuel is a leader in Chicago. bot:[('Chicago', 'leader', 'Rahm_Emanuel'), ('Chicago', 'type', 'City')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'MusicGenre': {'label': 'music genre', 'comment': '-'}, 'ArtisticGenre': {'label': 'artistic genre', 'comment': 'Genres of art, e.g. Pointillist, Modernist'}, 'ClassicalMusicComposition': {'label': 'classical music composition', 'comment': '-'}, 'Genre': {'label': 'genre', 'comment': '-'}, 'ClassicalMusicArtist': {'label': 'classical music artist', 'comment': '-'}, 'MusicalArtist': {'label': 'musical artist', 'comment': '-'}, 'MusicDirector': {'label': 'music director', 'comment': 'A person who is the director of an orchestra or concert band.'}, 'PeriodOfArtisticStyle': {'label': 'period of artistic style', 'comment': '-'}, 'MusicComposer': {'label': 'music composer', 'comment': 'a person who creates music.'}, 'ArtistDiscography': {'label': 'artist discography', 'comment': '-'}} Available Properties: {'administrativeCenter': {'label': 'musicFormat', 'description': 'The format of the album: EP, Single etc. DataTypeProperty'}, 'artistFunction': {'label': 'artist function', 'description': 'Artist function: vocal, group, instrumentalist, compositor... DataTypeProperty'}, 'artisticFunction': {'label': 'artistic function', 'description': 'No description available DataTypeProperty'}, 'associatedMusicalArtist': {'label': 'iafd id', 'description': 'No description available DataTypeProperty'}, 'filmAudioType': {'label': 'film audio type', 'description': "specifies the audio type of the film i.e. 'sound' or 'silent' DataTypeProperty"}, 'genre': {'label': 'locality of a switzerland settlement', 'description': 'No description available DataTypeProperty'}, 'kindOfRock': {'label': 'kind of rock', 'description': 'No description available DataTypeProperty'}, 'linguisticsTradition': {'label': 'danse competition', 'description': 'No description available DataTypeProperty'}, 'literaryGenre': {'label': 'lunar surface time (s)', 'description': 'No description available DataTypeProperty'}, 'musicBand': {'label': 'height (cm)', 'description': 'No description available DataTypeProperty'}, 'musicBrainzArtistId': {'label': 'MusicBrainz artist id', 'description': 'MusicBrainz artist. Applies to artists DataTypeProperty'}, 'musicComposer': {'label': 'national team match point', 'description': 'No description available DataTypeProperty'}, 'musicFusionGenre': {'label': 'free danse score', 'description': 'No description available DataTypeProperty'}, 'musicSubgenre': {'label': 'Deaths', 'description': 'Permanent, irreversible cessation of all biological functions that sustain a living organism ObjectTypeProperty'}, 'musicType': {'label': 'main islands', 'description': 'No description available DataTypeProperty'}, 'musicalArtist': {'label': 'weight (kg)', 'description': 'No description available DataTypeProperty'}, 'musicalBand': {'label': 'apoapsis (km)', 'description': 'No description available DataTypeProperty'}, 'numberOfMusicalArtistStyle': {'label': 'number of all MuscialArtist playing the style', 'description': 'No description available DataTypeProperty'}, 'residence': {'label': 'libretto', 'description': 'No description available DataTypeProperty'}, 'stylisticOrigin': {'label': 'free prog score', 'description': 'No description available DataTypeProperty'}, 'tempPlace': {'label': 'Temporary Placement in the Music Charts', 'description': 'No description available DataTypeProperty'}, 'terytCode': {'label': 'band', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Pop_music', 'musicFusionGenre', 'Folk-pop'], ['Power_pop', 'musicFusionGenre', 'Pop-punk'], ['Trance_music', 'stylisticOrigin', 'Psychedelic_music'], ['Trance_music', 'stylisticOrigin', 'Detroit_techno'], ['Pop_music', 'musicFusionGenre', 'Power_pop'], ['Pop_music', 'musicSubgenre', 'Teen_pop'], ['Pop_music', 'musicSubgenre', 'Orchestral_pop'], ['Pop_music', 'musicFusionGenre', 'Baroque_pop'], ['Pop_music', 'musicFusionGenre', 'Contemporary_R&B'], ['Pop_music', 'musicSubgenre', 'Schlager_music'], ['Psychedelic_trance', 'musicFusionGenre', 'Psydub'], ['Goa_trance', 'musicFusionGenre', 'Psybient'], ['Trance_music', 'musicSubgenre', 'Vocal_trance'], ['Trance_music', 'stylisticOrigin', 'Film_score'], ['Pop_music', 'musicFusionGenre', 'Ambient_pop'], ['Pop_music', 'musicFusionGenre', 'Space_age_pop'], ['Trance_music', 'stylisticOrigin', 'New-age_music'], ['Pop_music', 'musicSubgenre', 'Operatic_pop'], ['Pop_music', 'musicSubgenre', 'Dance-pop'], ['Contemporary_R&B', 'musicFusionGenre', 'Pluggnb'], ['Contemporary_R&B', 'musicFusionGenre', 'New_jack_swing'], ['Pop_music', 'musicSubgenre', 'Art_pop'], ['Indie_pop', 'musicFusionGenre', 'Indietronica'], ['Trance_music', 'musicSubgenre', 'Acid_trance'], ['Pop_music', 'musicFusionGenre', 'Dancehall_pop'], ['Trance_music', 'stylisticOrigin', 'Hardcore_(electronic_dance_music_genre)'], ['Pop_music', 'musicFusionGenre', 'Psychedelic_pop'], ['Trance_music', 'stylisticOrigin', 'Electronic_body_music'], ['Trance_music', 'stylisticOrigin', 'Techno'], ['Pop_music', 'musicFusionGenre', 'Indie_pop'], ['Trance_music', 'stylisticOrigin', 'Classical_music'], ['Pop_music', 'musicFusionGenre', 'Cowboy_pop'], ['Pop_music', 'musicFusionGenre', 'Emo_pop'], ['Contemporary_R&B', 'musicFusionGenre', 'Crunk&B'], ['Trance_music', 'musicSubgenre', 'Psychedelic_trance'], ['Trance_music', 'musicSubgenre', 'Tech_trance'], ['Trance_music', 'stylisticOrigin', 'Pop_music'], ['Pop_music', 'musicSubgenre', 'Synth-pop'], ['Trance_music', 'musicSubgenre', 'Progressive_trance'], ['Contemporary_R&B', 'musicFusionGenre', "Raï'n'B"], ['Pop_music', 'musicFusionGenre', 'Electropop'], ['Trance_music', 'stylisticOrigin', 'House_music'], ['Trance_music', 'stylisticOrigin', 'Chill-out_music'], ['Trance_music', 'stylisticOrigin', 'Acid_house'], ['Pop_music', 'musicSubgenre', 'Bubblegum_music'], ['Pop_music', 'musicFusionGenre', 'Hypnagogic_pop'], ['Pop_music', 'musicSubgenre', 'Sophisti-pop'], ['Trance_music', 'musicSubgenre', 'Uplifting_trance'], ['Trance_music', 'musicSubgenre', 'Hard_trance'], ['Pop_music', 'musicFusionGenre', 'Pop_rock'], ['Contemporary_R&B', 'musicFusionGenre', 'Grime_(music_genre)'], ['Pop_music', 'musicSubgenre', 'Wonky_pop'], ['Pop_music', 'musicFusionGenre', 'Country_pop'], ['Trance_music', 'musicSubgenre', 'Goa_trance'], ['Contemporary_R&B', 'musicFusionGenre', 'Latin_R&B'], ['Pop_music', 'musicSubgenre', 'Sad_pop'], ['Trance_music', 'musicSubgenre', 'Balearic_trance'], ['Pop_music', 'musicFusionGenre', 'Pop_punk'], ['Pop_music', 'musicSubgenre', 'Brill_Building_(genre)'], ['Trance_music', 'stylisticOrigin', 'Ambient_music'], ['Pop_music', 'musicSubgenre', 'Sunshine_pop'], ['Pop_music', 'musicFusionGenre', 'Pop_rap'], ['Pop_music', 'musicFusionGenre', 'Worldbeat'], ['Contemporary_R&B', 'musicFusionGenre', 'Snap_music']]Text: Trance music has its stylistic origins in pop music. bot:[('Trance_music', 'stylisticOrigin', 'Pop_music'), ('Trance_music', 'type', 'MusicGenre')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'Cemetery': {'label': 'cemetery', 'comment': 'A burial place'}, 'BritishRoyalty': {'label': 'British royalty', 'comment': '-'}, 'HistoricalCountry': {'label': 'Historical country', 'comment': 'ایک ایسی جگہ جو ایک ملک ہوا کرتی تھی۔'}, 'Memorial': {'label': 'memorial', 'comment': 'A monument erected to commemorate a person, an event and/or group. In the case of a person, this might be a grave or tomb.'}, 'Surname': {'label': 'surname', 'comment': '-'}, 'Historian': {'label': 'historian', 'comment': '-'}, 'HistoricPlace': {'label': 'historic place', 'comment': '-'}, 'NationalSoccerClub': {'label': 'national soccer club', 'comment': '-'}, 'HistoricalDistrict': {'label': 'Historical district', 'comment': 'a place which used to be a district.'}, 'Continent': {'label': 'continent', 'comment': '-'}} Available Properties: {'birthName': {'label': 'birth name', 'description': 'full name of a person at birth, if different from their current, generally used name DataTypeProperty'}, 'birthPlace': {'label': 'Bioavailability', 'description': '"The rate and extent to which the active ingredient or active moiety is absorbed from a drug product and becomes available at the site of action. For drug products that are not intended to be absorbed into the bloodstream, bioavailability may be assessed by measurements intended to reflect the rate and extent to which the active ingredient or active moiety becomes available at the site of action (21CFR320.1)." DataTypeProperty'}, 'codeMemorial': {'label': 'memorial ID number', 'description': 'Identifier for monuments of the Memorial type DataTypeProperty'}, 'countryWithFirstAstronaut': {'label': 'hairs', 'description': 'No description available DataTypeProperty'}, 'deadInFightDate': {'label': 'dead in fight date', 'description': 'No description available DataTypeProperty'}, 'deathCause': {'label': 'lah hof', 'description': 'No description available DataTypeProperty'}, 'deathDate': {'label': 'death date', 'description': 'No description available DataTypeProperty'}, 'deathPlace': {'label': 'dress code', 'description': 'The recommended dress code for an establishment or event. DataTypeProperty'}, 'deaths': {'label': 'age range', 'description': 'Age range of students admitted in a School, MilitaryUnit, etc DataTypeProperty'}, 'formerBandMember': {'label': 'last flight start date', 'description': 'No description available DataTypeProperty'}, 'formerCoach': {'label': 'number of trails', 'description': 'Number of trails in ski area. DataTypeProperty'}, 'formerName': {'label': 'former name', 'description': 'No description available DataTypeProperty'}, 'formerTeam': {'label': 'mill dissapeared code NL', 'description': 'No description available DataTypeProperty'}, 'leagueManager': {'label': 'minimum temperature (K)', 'description': 'No description available DataTypeProperty'}, 'livingPlace': {'label': 'temperature (K)', 'description': 'No description available DataTypeProperty'}, 'location': {'label': 'currency code', 'description': 'ISO 4217 currency designators. DataTypeProperty'}, 'locationCity': {'label': 'date of latest election', 'description': 'No description available DataTypeProperty'}, 'musicType': {'label': 'main islands', 'description': 'No description available DataTypeProperty'}, 'numberOfSoccerPlayersBornInPlace': {'label': 'number of SoccerPlayers born in Place', 'description': 'No description available DataTypeProperty'}, 'placeOfBurial': {'label': 'depth (μ)', 'description': 'Is a measure of the distance between a reference height and a point underneath. The exact meaning for a place is unclear. If possible, use or to be unambiguous. DataTypeProperty'}, 'type': {'label': 'other wins', 'description': 'No description available DataTypeProperty'}, 'voiceType': {'label': 'EntrezGene', 'description': 'No description available DataTypeProperty'}} Subgraph:[['United_Kingdom', 'ethnicGroup', 'Black_British'], ['London_postal_district', 'country', 'NW_postcode_area'], ['London_postal_district', 'country', 'E_postcode_area'], ['Sidcup', 'country', 'England'], ['London_postal_district', 'country', 'EC_postcode_area'], ['United_Kingdom', 'ethnicGroup', 'White_people_in_the_United_Kingdom'], ['Manchester', 'country', 'United_Kingdom'], ['United_Kingdom', 'ethnicGroup', 'Mixed_(United_Kingdom_ethnicity_category)'], ['London', 'timeZone', 'British_Summer_Time'], ['Manchester', 'timeZone', 'Greenwich_Mean_Time'], ['London_postal_district', 'country', 'N_postcode_area'], ['United_Kingdom', 'ethnicGroup', 'British_Asian'], ['Alfred_Garth_Jones', 'birthPlace', 'Manchester'], ['London_postal_district', 'country', 'WC_postcode_area'], ['London_postal_district', 'country', 'W_postcode_area'], ['Sidcup', 'region', 'London_postal_district'], ['London_postal_district', 'country', 'SW_postcode_area'], ['Alfred_Garth_Jones', 'deathPlace', 'Sidcup'], ['Sidcup', 'country', 'United_Kingdom'], ['London_postal_district', 'country', 'SE_postcode_area'], ['London', 'country', 'United_Kingdom'], ['Manchester', 'timeZone', 'British_Summer_Time'], ['London', 'timeZone', 'Greenwich_Mean_Time']]Text: Alfred Garth Jones was born in Manchester, England. He died circa 1944 in Sidcup, London. bot:[('Alfred_Garth_Jones', 'birthPlace', 'Manchester'), ('Alfred_Garth_Jones', 'birthPlace', 'England'), ('Alfred_Garth_Jones', 'deathDate', 'c._1944'), ('Alfred_Garth_Jones', 'deathPlace', 'London'), ('Alfred_Garth_Jones', 'deathPlace', 'Sidcup'), ('Manchester', 'type', 'City'), ('Sidcup', 'type', 'Location'), ('Alfred_Garth_Jones', 'type', 'Artist'), ('Sidcup', 'type', 'Settlement'), ('London', 'type', 'Location'), ('Manchester', 'type', 'Location'), ('London', 'type', 'City'), ('Alfred_Garth_Jones', 'type', 'Eukaryote')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'Protein': {'label': 'protein', 'comment': '-'}, 'Food': {'label': 'Food', 'comment': 'Food is any eatable or drinkable substance that is normally consumed by humans.'}, 'Polysaccharide': {'label': 'polysaccharide', 'comment': '-'}, 'Gnetophytes': {'label': 'Gnetophytes', 'comment': '-'}, 'Cheese': {'label': 'cheese', 'comment': 'A milk product prepared for human consumption'}, 'Biomolecule': {'label': 'Biomolecule', 'comment': 'equivalent to http://ccdb.ucsd.edu/NIF/BIRNLex-OBO-UBO.owl#birnlex_22.'}, 'Farmer': {'label': 'farmer', 'comment': '-'}, 'Horse': {'label': 'horse', 'comment': '-'}, 'Enzyme': {'label': 'enzyme', 'comment': '-'}, 'Conifer': {'label': 'conifer', 'comment': '-'}} Available Properties: {'carbohydrate': {'label': 'carbohydrate (g)', 'description': 'Amount of carbohydrates per servingSize of a Food DataTypeProperty'}, 'cultivatedVariety': {'label': 'PfizerCumulativeDoses', 'description': '辉瑞是源自美国的跨国制药、生物技术公司，营运总部位于纽约，研发总部位于康涅狄格州的格罗顿市 DataTypeProperty'}, 'fat': {'label': 'fat (g)', 'description': 'Amount of fat per servingSize of a Food DataTypeProperty'}, 'fuel': {'label': 'docked time (s)', 'description': 'No description available DataTypeProperty'}, 'fuelType': {'label': 'numberOfClassesWithResource', 'description': 'number of class in DBpedia with at least single resource (class entity) DataTypeProperty'}, 'goldenCalfAward': {'label': 'maximum boat length (μ)', 'description': 'No description available DataTypeProperty'}, 'goldenRaspberryAward': {'label': 'original maximum boat length (μ)', 'description': 'No description available DataTypeProperty'}, 'hasInput': {'label': 'Dorlands prefix', 'description': 'No description available DataTypeProperty'}, 'hasJunctionWith': {'label': 'CO2 emission (g/km)', 'description': 'No description available DataTypeProperty'}, 'hasVariant': {'label': 'maximum area', 'description': 'No description available DataTypeProperty'}, 'horseRidingDiscipline': {'label': 'top speed (kmh)', 'description': 'No description available DataTypeProperty'}, 'ingredient': {'label': 'lunar orbit time (s)', 'description': 'No description available DataTypeProperty'}, 'musicType': {'label': 'main islands', 'description': 'No description available DataTypeProperty'}, 'organ': {'label': 'alternative name', 'description': 'Alternative naming of anything not being a Person (for which case foaf:nick should be used). DataTypeProperty'}, 'product': {'label': 'old name', 'description': 'No description available DataTypeProperty'}, 'protein': {'label': 'protein (g)', 'description': 'Amount of proteins per servingSize of a Food DataTypeProperty'}, 'raceHorse': {'label': 'visitor statistics as of', 'description': 'Year visitor information was gathered. DataTypeProperty'}, 'servingSize': {'label': 'serving size (g)', 'description': 'Default serving size (eg "100 g" for the standard 100 g serving size). approximateCalories apply to this serving size DataTypeProperty'}, 'sport': {'label': 'SMILES', 'description': 'The Simplified Molecular-Input Line-Entry System or SMILES is a specification in form of a line notation for describing the structure of chemical molecules using short ASCII strings. DataTypeProperty'}, 'taxon': {'label': 'blood group', 'description': 'No description available DataTypeProperty'}, 'type': {'label': 'other wins', 'description': 'No description available DataTypeProperty'}, 'typeOfGrain': {'label': 'type of grain (wheat etc.)', 'description': 'No description available DataTypeProperty'}, 'voiceType': {'label': 'EntrezGene', 'description': 'No description available DataTypeProperty'}} Subgraph:nanText: Barny Cakes can include milk and contain 1.8g of protein, 4.8g of fat and 18.0g of carbohydrates. bot:[('Barny_Cakes', 'carbohydrate', '18.0_g'), ('Barny_Cakes', 'fat', '4.8_g'), ('Barny_Cakes', 'hasVariant', 'Milk'), ('Barny_Cakes', 'protein', '1.8_g'), ('Barny_Cakes', 'type', 'Food')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'BusCompany': {'label': 'bus company', 'comment': '-'}, 'Engineer': {'label': 'engineer', 'comment': '-'}, 'TradeUnion': {'label': 'trade union', 'comment': 'A trade union or labor union is an organization of workers who have banded together to achieve common goals such as better working conditions.'}, 'Company': {'label': 'company', 'comment': '-'}, 'RailwayTunnel': {'label': 'railway tunnel', 'comment': '-'}, 'MetroStation': {'label': 'subway station', 'comment': '-'}, 'Employer': {'label': 'Employer', 'comment': 'a person, business, firm, etc, that employs workers.'}, 'GrossDomesticProduct': {'label': 'gross domestic product', 'comment': '-'}, 'UnitOfWork': {'label': 'unit of work', 'comment': 'This class is meant to convey the notion of an amount work to be done. It is different from Activity in that it has a definite end and is being measured.'}, 'MovingWalkway': {'label': 'travellator', 'comment': '-'}} Available Properties: {'Spacecraft/cargoGas': {'label': 'imposed danse score', 'description': 'No description available DataTypeProperty'}, 'building': {'label': 'BRIN code', 'description': 'The code used by the Dutch Ministry of Education to identify a school (as an organisation) DataTypeProperty'}, 'chain': {'label': 'expedition', 'description': 'No description available DataTypeProperty'}, 'commander': {'label': 'imposed danse score', 'description': 'No description available DataTypeProperty'}, 'company': {'label': 'inclination', 'description': 'No description available DataTypeProperty'}, 'compiler': {'label': 'PersonsFirstDosesCumul', 'description': 'Number of persons received first vaccine doses DataTypeProperty'}, 'designCompany': {'label': 'information', 'description': 'No description available DataTypeProperty'}, 'engineer': {'label': 'number of islands', 'description': 'No description available DataTypeProperty'}, 'foundationPlace': {'label': 'Genome DB', 'description': 'the edition of the database used (i.e. hg19) DataTypeProperty'}, 'foundedBy': {'label': 'little pool record', 'description': 'No description available DataTypeProperty'}, 'founder': {'label': 'local phone prefix', 'description': 'No description available DataTypeProperty'}, 'foundingDate': {'label': 'founding date', 'description': 'No description available DataTypeProperty'}, 'ingredient': {'label': 'lunar orbit time (s)', 'description': 'No description available DataTypeProperty'}, 'livingPlace': {'label': 'temperature (K)', 'description': 'No description available DataTypeProperty'}, 'musicType': {'label': 'main islands', 'description': 'No description available DataTypeProperty'}, 'netIncome': {'label': 'net income ($)', 'description': 'No description available DataTypeProperty'}, 'network': {'label': 'national tournament silver', 'description': 'No description available DataTypeProperty'}, 'numberOfEmployees': {'label': 'number of employees', 'description': 'No description available DataTypeProperty'}, 'operatingIncome': {'label': 'operating income ($)', 'description': 'No description available DataTypeProperty'}, 'operatingSystem': {'label': 'number of turns', 'description': 'No description available DataTypeProperty'}, 'originalDanseCompetition': {'label': 'original danse competititon', 'description': 'No description available DataTypeProperty'}, 'parentCompany': {'label': 'number of passengers', 'description': 'No description available DataTypeProperty'}, 'population': {'label': 'CAS number', 'description': 'Chemical Abstracts Service number. Applicable to ChemicalCompound or Biomolecule (eg Protein) DataTypeProperty'}, 'populationPlace': {'label': 'legal arrondissement', 'description': 'No description available DataTypeProperty'}, 'populationTotalReference': {'label': 'defeat as team manager', 'description': 'No description available DataTypeProperty'}, 'predecessor': {'label': 'original maximum boat beam (μ)', 'description': 'No description available DataTypeProperty'}, 'product': {'label': 'old name', 'description': 'No description available DataTypeProperty'}, 'productionCompany': {'label': 'lethal when given to chickens', 'description': 'No description available DataTypeProperty'}, 'silCode': {'label': 'deme', 'description': 'No description available DataTypeProperty'}, 'southEastPlace': {'label': 'licensee', 'description': 'Identify which company or entity holds the licence (mostly string are used in Wikipedia, therefore range is xsd:sting). DataTypeProperty'}, 'subsidiary': {'label': 'number of districts', 'description': 'No description available DataTypeProperty'}, 'terytCode': {'label': 'band', 'description': 'No description available DataTypeProperty'}, 'transmission': {'label': 'old name', 'description': 'No description available DataTypeProperty'}, 'type': {'label': 'other wins', 'description': 'No description available DataTypeProperty'}, 'voiceType': {'label': 'EntrezGene', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Reuben_Trane', 'deathPlace', 'La_Crosse,_Wisconsin'], ['Trane', 'foundedBy', 'Reuben_Trane'], ['Trane_Technologies', 'locationCity', 'Swords,_Dublin'], ['Trane', 'parentCompany', 'Trane_Technologies'], ['Wisconsin', 'country', 'United_States'], ['Milwaukee', 'founder', 'Byron_Kilbourn'], ['Trane', 'foundedBy', 'James_Trane'], ['Milwaukee', 'country', 'United_States'], ['United_States', 'largestCity', 'New_York_City'], ['Milwaukee', 'founder', 'Solomon_Juneau'], ['Reuben_Trane', 'birthPlace', 'La_Crosse,_Wisconsin'], ['Milwaukee', 'founder', 'George_H._Walker'], ['Wisconsin', 'largestCity', 'Milwaukee'], ['Milwaukee', 'namedAfter', 'Potawatomi_language']]Text: Trane is a company which was founded on 1913-01-01 in La Crosse, Wisconsin. The company employs 29000 people, and HVAC appliances are among the products manufactured by them. Trane has an operating income of 875.4 million USD, which equates to a net income of about $556 million. bot:[('Trane', 'foundationPlace', 'La_Crosse,_Wisconsin'), ('Trane', 'foundingDate', '1913-01-01'), ('A', 'g', 'e'), ('Trane', 'netIncome', '556300000'), ('Trane', 'numberOfEmployees', '29000'), ('Trane', 'operatingIncome', '875400000'), ('Trane', 'product', 'Heating,_ventilation,_and_air_conditioning'), ('Trane', 'type', 'Agent'), ('La_Crosse,_Wisconsin', 'type', 'Place'), ('Trane', 'type', 'Company'), ('La_Crosse,_Wisconsin', 'type', 'Location')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'Astronaut': {'label': 'astronaut', 'comment': '-'}, 'NobelPrize': {'label': 'Nobel Prize', 'comment': '-'}, 'AmateurBoxer': {'label': 'amateur boxer', 'comment': '-'}, 'Archeologist': {'label': 'archeologist', 'comment': '-'}, 'Scientist': {'label': 'scientist', 'comment': '-'}, 'LunarCrater': {'label': 'lunar crater', 'comment': '-'}, 'BaseballPlayer': {'label': 'baseball player', 'comment': '-'}, 'NascarDriver': {'label': 'nascar driver', 'comment': '-'}, 'Actor': {'label': 'actor', 'comment': 'An actor or actress is a person who acts in a dramatic production and who works in film, television, theatre, or radio in that capacity.'}, 'CelestialBody': {'label': 'celestial body', 'comment': '-'}} Available Properties: {'almaMater': {'label': 'end career', 'description': 'No description available DataTypeProperty'}, 'alumni': {'label': 'Number of revision per year', 'description': 'used for DBpedia History > Subject must be a blank node containing a dc:date and a rdfs:value DataTypeProperty'}, 'birthDate': {'label': 'birth date', 'description': 'No description available DataTypeProperty'}, 'birthName': {'label': 'birth name', 'description': 'full name of a person at birth, if different from their current, generally used name DataTypeProperty'}, 'birthPlace': {'label': 'Bioavailability', 'description': '"The rate and extent to which the active ingredient or active moiety is absorbed from a drug product and becomes available at the site of action. For drug products that are not intended to be absorbed into the bloodstream, bioavailability may be assessed by measurements intended to reflect the rate and extent to which the active ingredient or active moiety becomes available at the site of action (21CFR320.1)." DataTypeProperty'}, 'birthYear': {'label': 'birth year', 'description': 'No description available DataTypeProperty'}, 'coemperor': {'label': 'bowl record', 'description': 'No description available DataTypeProperty'}, 'countryOrigin': {'label': 'number of licensed', 'description': 'nombre de personnes ayant une license pour pratiquer cette activité DataTypeProperty'}, 'countryWithFirstAstronaut': {'label': 'hairs', 'description': 'No description available DataTypeProperty'}, 'countryWithFirstSpaceflight': {'label': 'has natural bust', 'description': 'No description available DataTypeProperty'}, 'daira': {'label': 'id', 'description': 'No description available DataTypeProperty'}, 'deathPlace': {'label': 'dress code', 'description': 'The recommended dress code for an establishment or event. DataTypeProperty'}, 'ethnicity': {'label': 'school number', 'description': 'No description available DataTypeProperty'}, 'features': {'label': 'throwing side', 'description': 'No description available DataTypeProperty'}, 'formerHighschool': {'label': 'relics', 'description': 'Physical remains or personal effects of a saint or venerated person, preserved in a religious building DataTypeProperty'}, 'livingPlace': {'label': 'temperature (K)', 'description': 'No description available DataTypeProperty'}, 'location': {'label': 'currency code', 'description': 'ISO 4217 currency designators. DataTypeProperty'}, 'locationCity': {'label': 'date of latest election', 'description': 'No description available DataTypeProperty'}, 'mission': {'label': 'currently used for', 'description': 'Current use of the architectural structure, if it is currently being used as anything other than its original purpose. DataTypeProperty'}, 'musicType': {'label': 'main islands', 'description': 'No description available DataTypeProperty'}, 'nationalSelection': {'label': 'dead in fight date', 'description': 'No description available DataTypeProperty'}, 'nationality': {'label': 'national tournament bronze', 'description': 'No description available DataTypeProperty'}, 'nextMission': {'label': 'national years', 'description': 'No description available DataTypeProperty'}, 'nobelLaureates': {'label': 'area code', 'description': 'Area code for telephone numbers. Use this not phonePrefix DataTypeProperty'}, 'numberOfPersonBornInPlace': {'label': 'number of entities of Person class born in the place', 'description': 'No description available DataTypeProperty'}, 'numberOfPersonFromUniversity': {'label': 'number of entities of Person class who graduated from the university', 'description': 'No description available DataTypeProperty'}, 'occupation': {'label': 'number of officials', 'description': 'No description available DataTypeProperty'}, 'otherOccupation': {'label': 'mission duration (μ)', 'description': 'No description available DataTypeProperty'}, 'previousMission': {'label': 'notify date', 'description': 'No description available DataTypeProperty'}, 'profession': {'label': 'ISO 3166-1 code', 'description': 'defines codes for the names of countries, dependent territories, and special areas of geographical interest DataTypeProperty'}, 'selection': {'label': 'size (MB)', 'description': 'size of a file or software DataTypeProperty'}, 'spacestation': {'label': 'notes', 'description': 'additional notes that better describe the entity. DataTypeProperty'}, 'timeInSpace': {'label': 'total time person has spent in space (s)', 'description': 'No description available DataTypeProperty'}, 'type': {'label': 'other wins', 'description': 'No description available DataTypeProperty'}, 'voiceType': {'label': 'EntrezGene', 'description': 'No description available DataTypeProperty'}} Subgraph:[['New_Jersey', 'country', 'United_States'], ['Buzz_Aldrin', 'award', 'Air_Force_Distinguished_Service_Medal'], ['Michael_Collins_(astronaut)', 'birthPlace', 'Rome'], ['New_Jersey', 'largestCity', 'Newark,_New_Jersey'], ['Apollo_11', 'crewMember', 'Neil_Armstrong'], ['Grumman', 'foundedBy', 'Leroy_Grumman'], ['United_States_Military_Academy', 'city', 'West_Point,_New_York'], ['United_States', 'ethnicGroup', 'African_Americans'], ['Buzz_Aldrin', 'award', 'Distinguished_Flying_Cross_(United_States)'], ['Buzz_Aldrin', 'award', 'Presidential_Medal_of_Freedom'], ['Buzz_Aldrin', 'award', 'Congressional_Gold_Medal'], ['Buzz_Aldrin', 'almaMater', 'United_States_Military_Academy'], ['Buzz_Aldrin', 'mission', 'Apollo_11'], ['United_States', 'ethnicGroup', 'Hispanic_and_Latino_Americans'], ['United_States', 'ethnicGroup', 'Race_and_ethnicity_in_the_United_States_census'], ['Neil_Armstrong', 'birthPlace', 'Wapakoneta,_Ohio'], ['Buzz_Aldrin', 'mission', 'Gemini_12'], ['United_States', 'house', 'United_States_House_of_Representatives'], ['Buzz_Aldrin', 'birthPlace', 'Glen_Ridge,_New_Jersey'], ['Massachusetts_Institute_of_Technology', 'provost', 'Cynthia_Barnhart'], ['Apollo_11', 'manufacturer', 'Grumman'], ['Massachusetts_Institute_of_Technology', 'president', 'L._Rafael_Reif'], ['United_States', 'ethnicGroup', 'Asian_Americans'], ['Grumman', 'foundedBy', 'Edmund_Ward_Poor'], ['Apollo_11', 'crewMember', 'Buzz_Aldrin'], ['Buzz_Aldrin', 'almaMater', 'Massachusetts_Institute_of_Technology'], ['United_States', 'ethnicGroup', 'Native_Americans_in_the_United_States'], ['United_States', 'ethnicGroup', 'Multiracial_Americans'], ['Buzz_Aldrin', 'occupation', 'Fighter_pilot'], ['Grumman', 'foundedBy', 'William_T._Schwendler'], ['United_States', 'house', 'United_States_Senate'], ['Apollo_11', 'crewMember', 'Michael_Collins_(astronaut)'], ['Glen_Ridge_station', 'owner', 'New_Jersey_Transit'], ['Grumman', 'foundedBy', 'Jake_Swirbul'], ['United_States', 'ethnicGroup', 'Pacific_Islander_Americans'], ['Buzz_Aldrin', 'award', 'Air_Medal'], ['Buzz_Aldrin', 'occupation', 'Astronaut'], ['United_States', 'ethnicGroup', 'White_Americans'], ['Apollo_11', 'manufacturer', 'North_American_Rockwell'], ['Buzz_Aldrin', 'award', 'NASA_Exceptional_Service_Medal'], ['Massachusetts_Institute_of_Technology', 'city', 'Cambridge,_Massachusetts'], ['United_States', 'largestCity', 'New_York_City'], ['Cynthia_Barnhart', 'birthPlace', 'Barre_(city),_Vermont'], ['Cynthia_Barnhart', 'birthPlace', 'Vermont'], ['Buzz_Aldrin', 'award', 'NASA_Distinguished_Service_Medal'], ['Glen_Ridge_station', 'owningOrganisation', 'New_Jersey_Transit'], ['Grumman', 'locationCity', 'Bethpage,_New_York']]Text: American Buzz Aldrin was born in Glen Ridge, New Jersey. He graduated in 1963 from MIT with a Sc.D. He was selected by NASA in 1963, was a fighter pilot and a crew member of Apollo 11, spending 52 minutes in space. bot:[('Buzz_Aldrin', 'almaMater', 'Massachusetts_Institute_of_Technology,_Sc.D._1963'), ('Buzz_Aldrin', 'birthPlace', 'Glen_Ridge,_New_Jersey'), ('Buzz_Aldrin', 'mission', 'Apollo_11'), ('Buzz_Aldrin', 'nationality', 'United_States'), ('Buzz_Aldrin', 'occupation', 'Fighter_pilot'), ('A', 's', 't'), ('Buzz_Aldrin', 'selection', '1963'), ('Buzz_Aldrin', 'timeInSpace', '52.0minutes'), ('Glen_Ridge,_New_Jersey', 'type', 'CityDistrict'), ('Buzz_Aldrin', 'type', 'Eukaryote'), ('Essex_County,_New_Jersey', 'type', 'Region'), ('United_States', 'type', 'Country'), ('William_Anders', 'type', 'Eukaryote'), ('Buzz_Aldrin', 'type', 'Astronaut'), ('Essex_County,_New_Jersey', 'type', 'AdministrativeRegion'), ('United_States', 'type', 'Location'), ('Apollo_11', 'type', 'SpaceMission'), ('Glen_Ridge,_New_Jersey', 'type', 'Place'), ('Apollo_11', 'type', 'Event'), ('William_Anders', 'type', 'Astronaut')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'EthnicGroup': {'label': 'ethnic group', 'comment': '-'}, 'GreenAlga': {'label': 'green alga', 'comment': '-'}, 'Mosque': {'label': 'mosque', 'comment': 'A mosque, sometimes spelt mosk, is a place of worship for followers of Islam.'}, 'AmericanFootballLeague': {'label': 'american football league', 'comment': 'A group of sports teams that compete against each other in american football.'}, 'AmericanFootballTeam': {'label': 'american football Team', 'comment': '-'}, 'GolfLeague': {'label': 'golf league', 'comment': 'Golfplayer that compete against each other in Golf'}, 'VolleyballLeague': {'label': 'volleyball league', 'comment': 'A group of sports teams that compete against each other in volleyball.'}, 'Brewery': {'label': 'brewery', 'comment': '-'}, 'AdministrativeRegion': {'label': 'administrative region', 'comment': 'A PopulatedPlace under the jurisdiction of an administrative body. This body may administer either a whole region or one or more adjacent Settlements (town administration)'}, 'AmericanFootballPlayer': {'label': 'american football player', 'comment': '-'}} Available Properties: {'announcedFrom': {'label': 'number of platform levels', 'description': 'Number of levels of platforms at the station. DataTypeProperty'}, 'bloodGroup': {'label': 'blood group', 'description': 'No description available DataTypeProperty'}, 'ceremonialCounty': {'label': 'UN/LOCODE', 'description': 'UN/LOCODE, the United Nations Code for Trade and Transport Locations, is a geographic coding scheme developed and maintained by United Nations Economic Commission for Europe (UNECE), a unit of the United Nations. UN/LOCODE assigns codes to locations used in trade and transport with functions such as seaports, rail and road terminals, airports, post offices and border crossing points. DataTypeProperty'}, 'collectionSize': {'label': 'diseasesDb', 'description': 'No description available DataTypeProperty'}, 'country': {'label': 'eye colour', 'description': 'No description available DataTypeProperty'}, 'county': {'label': 'INSEE code', 'description': 'numerical indexing code used by the French National Institute for Statistics and Economic Studies (INSEE) to identify various entities DataTypeProperty'}, 'countySeat': {'label': 'DosesFirst', 'description': 'Number of first vaccine doses. DataTypeProperty'}, 'demographicsAsOf': {'label': 'demographics as of', 'description': 'No description available DataTypeProperty'}, 'ethnicGroup': {'label': 'election date leader', 'description': 'The date that leader was elected. DataTypeProperty'}, 'ethnicGroupsInYear': {'label': 'ethnic groups in year', 'description': 'No description available DataTypeProperty'}, 'ethnicity': {'label': 'school number', 'description': 'No description available DataTypeProperty'}, 'federalState': {'label': 'number of studio albums', 'description': 'the number of studio albums released by the musical artist DataTypeProperty'}, 'governmentCountry': {'label': 'boiling point (K)', 'description': 'No description available DataTypeProperty'}, 'isPartOf': {'label': 'orbital inclination', 'description': 'orbital inclination of a stable orbit DataTypeProperty'}, 'musicType': {'label': 'main islands', 'description': 'No description available DataTypeProperty'}, 'numberOfCounties': {'label': 'number of counties', 'description': 'No description available DataTypeProperty'}, 'race': {'label': 'displacement (g)', 'description': "A ship's displacement is its mass at any given time. DataTypeProperty"}, 'races': {'label': 'blood group', 'description': 'No description available DataTypeProperty'}, 'sourceState': {'label': 'settlement code', 'description': 'No description available DataTypeProperty'}, 'state': {'label': 'historical name', 'description': 'No description available DataTypeProperty'}, 'superTribus': {'label': 'long distance piste number', 'description': 'No description available DataTypeProperty'}, 'type': {'label': 'other wins', 'description': 'No description available DataTypeProperty'}, 'voiceType': {'label': 'EntrezGene', 'description': 'No description available DataTypeProperty'}} Subgraph:[['New_York_(state)', 'language', 'Yiddish'], ['Asian_Americans', 'populationPlace', 'California'], ['Hispanic_and_Latino_Americans', 'populationPlace', 'Texas'], ['New_York_(state)', 'largestCity', 'New_York_City'], ['Pennsylvania', 'language', 'Chinese_language'], ['Asian_Americans', 'religion', 'Chinese_folk_religion'], ['Pacific_Islander_Americans', 'populationPlace', 'New_York_(state)'], ['Hispanic_and_Latino_Americans', 'populationPlace', 'Washington-Baltimore_metropolitan_area'], ['New_Jersey', 'language', 'Russian_language'], ['Pacific_Islander_Americans', 'populationPlace', 'Hawaii'], ['Auburn_University', 'state', 'Alabama'], ['Illinois', 'language', 'English_language'], ['Illinois', 'largestCity', 'Chicago'], ['Florida', 'country', 'United_States'], ['Pennsylvania', 'language', 'Italian_language'], ['Pacific_Islander_Americans', 'populationPlace', 'Washington_(state)'], ['United_States_Senate', 'isPartOf', 'United_States_Congress'], ['California', 'language', 'English_language'], ['Asian_Americans', 'populationPlace', 'Texas'], ['Pacific_Islander_Americans', 'populationPlace', 'American_Samoa'], ['Illinois', 'country', 'United_States'], ['Asian_Americans', 'populationPlace', 'Pennsylvania'], ['United_States', 'ethnicGroup', 'Asian_Americans'], ['New_Jersey', 'language', 'Korean_language'], ['Hispanic_and_Latino_Americans', 'populationPlace', 'California'], ['Alabama', 'country', 'United_States'], ['New_York_(state)', 'language', 'Korean_language'], ['Auburn_University', 'city', 'Auburn,_Alabama'], ['New_York_(state)', 'language', 'French_language'], ['Asian_Americans', 'religion', 'Vietnamese_folk_religion'], ['United_States_House_of_Representatives', 'location', 'United_States_Capitol'], ['Hawaii', 'country', 'United_States'], ['White_Americans', 'populationPlace', 'List_of_regions_of_the_United_States'], ['United_States', 'largestCity', 'New_York_City'], ['Asian_Americans', 'religion', 'Zoroastrianism'], ['African_Americans', 'populationPlace', 'Southern_United_States'], ['Pacific_Islander_Americans', 'populationPlace', 'Texas'], ['Hispanic_and_Latino_Americans', 'populationPlace', 'Hispanics_and_Latinos_in_New_Jersey'], ['Washington_(state)', 'largestCity', 'Seattle'], ['California', 'language', 'Spanish_language'], ['New_Jersey', 'language', 'English_language'], ['Florida', 'language', 'Spanish_language_in_the_United_States'], ['United_States', 'ethnicGroup', 'African_Americans'], ['Pennsylvania', 'language', 'German_language'], ['New_York_(state)', 'language', 'English_language'], ['Pacific_Islander_Americans', 'populationPlace', 'Oregon'], ['New_Jersey', 'language', 'Arabic_language'], ['Pennsylvania', 'largestCity', 'Philadelphia'], ['Hispanic_and_Latino_Americans', 'populationPlace', 'Florida'], ['New_York_(state)', 'language', 'Arabic'], ['Washington_(state)', 'language', 'De_jure'], ['New_York_(state)', 'country', 'United_States'], ['Asian_Americans', 'religion', 'Jain'], ['Asian_Americans', 'religion', 'Shinto'], ['Asian_Americans', 'religion', 'Hinduism_in_the_United_States'], ['Asian_Americans', 'religion', 'Christianity_in_the_United_States'], ['Multiracial_Americans', 'populationPlace', 'Southern_United_States'], ['Pacific_Islander_Americans', 'populationPlace', 'California'], ['New_York_(state)', 'language', 'Filipino_language'], ['California', 'country', 'United_States'], ['New_Jersey', 'language', 'French_language'], ['Florida', 'language', 'American_English'], ['Asian_Americans', 'populationPlace', 'Florida'], ['Pacific_Islander_Americans', 'populationPlace', 'Utah'], ['New_Jersey', 'language', 'Spanish_language'], ['Florida', 'largestCity', 'Jacksonville,_Florida'], ['New_York_(state)', 'language', 'Spanish_language'], ['United_States', 'house', 'United_States_House_of_Representatives'], ['California', 'largestCity', 'Los_Angeles'], ['Asian_Americans', 'language', 'Languages_of_Asia'], ['United_States_House_of_Representatives', 'location', 'United_States_of_America'], ['Native_Americans_in_the_United_States', 'populationPlace', 'Western_United_States'], ['Texas', 'largestCity', 'Houston'], ['Hispanic_and_Latino_Americans', 'populationPlace', 'New_York_metropolitan_area'], ['Texas', 'language', 'English_language'], ['Asian_Americans', 'religion', 'Confucianism'], ['Alabama', 'largestCity', 'Huntsville,_Alabama'], ['Multiracial_Americans', 'populationPlace', 'Northeastern_United_States'], ['New_York_City', 'country', 'United_States'], ['United_States_House_of_Representatives', 'location', 'Washington,_D.C.'], ['Pacific_Islander_Americans', 'populationPlace', 'Florida'], ['Texas', 'country', 'United_States'], ['New_Jersey', 'language', 'Polish_language'], ['New_Jersey', 'country', 'United_States'], ['United_States', 'house', 'United_States_Senate'], ['Pacific_Islander_Americans', 'populationPlace', 'Guam'], ['New_York_(state)', 'language', 'Chinese_language'], ['New_York_(state)', 'language', 'Hindustani_language'], ['New_Jersey', 'language', 'Indo-Aryan_languages'], ['Washington_(state)', 'country', 'United_States'], ['Multiracial_Americans', 'populationPlace', 'Midwestern_United_States'], ['New_Jersey', 'language', 'Italian_language'], ['Asian_Americans', 'populationPlace', 'Virginia'], ['Virginia', 'largestCity', 'Virginia_Beach,_Virginia'], ['New_York_(state)', 'language', 'Italian_language'], ['Hispanic_and_Latino_Americans', 'populationPlace', 'Northeastern_United_States'], ['Asian_Americans', 'populationPlace', 'Illinois'], ['African_Americans', 'populationPlace', 'List_of_United_States_urban_areas'], ['United_States', 'ethnicGroup', 'Pacific_Islander_Americans'], ['Asian_Americans', 'religion', 'Tengrism'], ['Texas', 'language', 'Spanish_language'], ['Pacific_Islander_Americans', 'populationPlace', 'Northern_Mariana_Islands'], ['Pennsylvania', 'language', 'English_language'], ['United_States', 'ethnicGroup', 'Hispanic_and_Latino_Americans'], ['Pacific_Islander_Americans', 'populationPlace', 'Nevada'], ['Pennsylvania', 'country', 'United_States'], ['United_States', 'ethnicGroup', 'Native_Americans_in_the_United_States'], ['Hispanic_and_Latino_Americans', 'populationPlace', 'Midwestern_United_States'], ['New_York_(state)', 'language', 'Russian_language'], ['United_States', 'ethnicGroup', 'Multiracial_Americans'], ['United_States_House_of_Representatives', 'isPartOf', 'United_States_Congress'], ['New_Jersey', 'language', 'Chinese_language'], ['Pennsylvania', 'language', 'Spanish_language'], ['Texas', 'language', 'Languages_of_Texas'], ['Asian_Americans', 'religion', 'Buddhism_in_the_United_States'], ['Asian_Americans', 'populationPlace', 'New_York_(state)'], ['United_States', 'ethnicGroup', 'Race_and_ethnicity_in_the_United_States_census'], ['Multiracial_Americans', 'populationPlace', 'Western_United_States'], ['Asian_Americans', 'populationPlace', 'Hawaii'], ['Asian_Americans', 'religion', 'Irreligion_in_the_United_States'], ['New_Jersey', 'largestCity', 'Newark,_New_Jersey'], ['New_Jersey', 'language', 'Portuguese_language'], ['Hispanic_and_Latino_Americans', 'populationPlace', 'Southwestern_United_States'], ['Asian_Americans', 'populationPlace', 'Washington_(state)'], ['Asian_Americans', 'populationPlace', 'New_Jersey'], ['Asian_Americans', 'religion', 'Islam_in_the_United_States'], ['Native_Americans_in_the_United_States', 'populationPlace', 'Eastern_United_States'], ['Asian_Americans', 'religion', 'Sikhism_in_the_United_States'], ['Washington_(state)', 'language', 'De_facto'], ['Virginia', 'language', 'English_language'], ['United_States', 'ethnicGroup', 'White_Americans'], ['Auburn_University', 'campus', 'College_Town'], ['Asian_Americans', 'language', 'English_language'], ['New_Jersey', 'language', 'Tagalog_language'], ['Virginia', 'country', 'United_States']]Text: Auburn is part of Lee County, Alabama, in the United States, where one of the ethnic groups, is Asian Americans. bot:[('Alabama', 'country', 'United_States'), ('United_States', 'ethnicGroup', 'Asian_Americans'), ('Auburn,_Alabama', 'isPartOf', 'Lee_County,_Alabama'), ('Lee_County,_Alabama', 'state', 'Alabama'), ('United_States', 'type', 'Location'), ('Asian_Americans', 'type', 'EthnicGroup'), ('Alabama', 'type', 'AdministrativeRegion'), ('Alabama', 'type', 'Region'), ('Auburn,_Alabama', 'type', 'Location'), ('Lee_County,_Alabama', 'type', 'AdministrativeRegion'), ('Auburn,_Alabama', 'type', 'Place'), ('United_States', 'type', 'Country')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'AmericanFootballTeam': {'label': 'american football Team', 'comment': '-'}, 'EthnicGroup': {'label': 'ethnic group', 'comment': '-'}, 'Mill': {'label': 'Mill', 'comment': 'a unit operation designed to break a solid material into smaller pieces'}, 'SpeedwayTeam': {'label': 'speedway team', 'comment': '-'}, 'AmericanFootballLeague': {'label': 'american football league', 'comment': 'A group of sports teams that compete against each other in american football.'}, 'AmericanFootballPlayer': {'label': 'american football player', 'comment': '-'}, 'Fort': {'label': 'fort', 'comment': 'Fortified place, most of the time to protect traffic routes'}, 'Congressman': {'label': 'congressman', 'comment': '-'}, 'State': {'label': 'state', 'comment': '-'}, 'Demographics': {'label': 'demographics', 'comment': 'Population of a place. Uses these properties: populationTotal, year (when measured, populationYear), rank (sortOrder of this place amongst its siblings at the same level), name (areal measured by the population, eg: "locality", "municipality" or "comitat")'}} Available Properties: {'deanery': {'label': 'price ($)', 'description': 'The price of something, eg a journal. For "total money earned by an Athlete" use gross DataTypeProperty'}, 'demographicsAsOf': {'label': 'demographics as of', 'description': 'No description available DataTypeProperty'}, 'demonym': {'label': 'periapsis (km)', 'description': 'No description available DataTypeProperty'}, 'dubber': {'label': 'rank', 'description': 'Rank of something among other things of the same kind, eg Constellations by Area; MusicalAlbums by popularity, etc DataTypeProperty'}, 'ethnicGroup': {'label': 'election date leader', 'description': 'The date that leader was elected. DataTypeProperty'}, 'ethnicity': {'label': 'school number', 'description': 'No description available DataTypeProperty'}, 'federalState': {'label': 'number of studio albums', 'description': 'the number of studio albums released by the musical artist DataTypeProperty'}, 'historicalName': {'label': 'historical name', 'description': 'No description available DataTypeProperty'}, 'mountainRange': {'label': 'names', 'description': 'No description available DataTypeProperty'}, 'musicType': {'label': 'main islands', 'description': 'No description available DataTypeProperty'}, 'nationalTeam': {'label': 'peopleName', 'description': 'Name for the people inhabiting a place, eg Ankara->Ankariotes, Bulgaria->Bulgarians DataTypeProperty'}, 'nflTeam': {'label': 'periapsis (km)', 'description': 'No description available DataTypeProperty'}, 'state': {'label': 'historical name', 'description': 'No description available DataTypeProperty'}, 'stateOfOriginTeam': {'label': 'barangays', 'description': 'No description available DataTypeProperty'}, 'team': {'label': 'number of reactors', 'description': 'No description available DataTypeProperty'}, 'type': {'label': 'other wins', 'description': 'No description available DataTypeProperty'}, 'voiceType': {'label': 'EntrezGene', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Texas', 'country', 'United_States'], ['United_States', 'ethnicGroup', 'Hispanic_and_Latino_Americans'], ['United_States', 'ethnicGroup', 'Native_Americans_in_the_United_States'], ['United_States', 'ethnicGroup', 'White_Americans'], ['United_States', 'ethnicGroup', 'Pacific_Islander_Americans'], ['Spanish_language', 'languageFamily', 'Latino-Faliscan_languages'], ['United_States', 'ethnicGroup', 'African_Americans'], ['Spanish_language', 'languageFamily', 'Italic_languages'], ['Texas', 'language', 'Languages_of_Texas'], ['Texas', 'language', 'English_language'], ['United_States', 'ethnicGroup', 'Asian_Americans'], ['Texas', 'largestCity', 'Houston'], ['English_language', 'languageFamily', 'North_Sea_Germanic'], ['English_language', 'languageFamily', 'West_Germanic_languages'], ['United_States', 'ethnicGroup', 'Multiracial_Americans'], ['English_language', 'languageFamily', 'Germanic_languages'], ['English_language', 'languageFamily', 'Anglo-Frisian_languages'], ['United_States', 'ethnicGroup', 'Race_and_ethnicity_in_the_United_States_census'], ['Spanish_language', 'languageFamily', 'Romance_languages'], ['Texas', 'language', 'Spanish_language'], ['Spanish_language', 'languageFamily', 'Western_Romance_languages']]Text: The people of Texas are known as Texans. bot:[('Texas', 'demonym', 'Texas'), ('Texas', 'type', 'Region'), ('Texas', 'type', 'AdministrativeRegion')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'MusicalArtist': {'label': 'musical artist', 'comment': '-'}, 'Instrumentalist': {'label': 'instrumentalist', 'comment': '-'}, 'Guitarist': {'label': 'guitarist', 'comment': '-'}, 'MusicalWork': {'label': 'musical work', 'comment': '-'}, 'MusicComposer': {'label': 'music composer', 'comment': 'a person who creates music.'}, 'MusicDirector': {'label': 'music director', 'comment': 'A person who is the director of an orchestra or concert band.'}, 'Musical': {'label': 'musical', 'comment': '-'}, 'Singer': {'label': 'Singer', 'comment': 'a person who sings.'}, 'MusicFestival': {'label': 'music festival', 'comment': '-'}, 'SongWriter': {'label': 'songwriter', 'comment': 'a person who writes songs.'}} Available Properties: {'administrativeCenter': {'label': 'musicFormat', 'description': 'The format of the album: EP, Single etc. DataTypeProperty'}, 'aircraftElectronic': {'label': 'Dutch PPN code', 'description': "Dutch Winkel ID is a code for an underground publication, as attributed by Lydia Winkel's work on the underground WW II press in the Netherlands. DataTypeProperty"}, 'artist': {'label': 'endangered since', 'description': 'No description available DataTypeProperty'}, 'artistFunction': {'label': 'artist function', 'description': 'Artist function: vocal, group, instrumentalist, compositor... DataTypeProperty'}, 'associatedMusicalArtist': {'label': 'iafd id', 'description': 'No description available DataTypeProperty'}, 'chorusCharacterInPlay': {'label': 'chorus character in play', 'description': 'The name of the (Greek) chorus character in play. DataTypeProperty'}, 'formerBandMember': {'label': 'last flight start date', 'description': 'No description available DataTypeProperty'}, 'genre': {'label': 'locality of a switzerland settlement', 'description': 'No description available DataTypeProperty'}, 'literaryGenre': {'label': 'lunar surface time (s)', 'description': 'No description available DataTypeProperty'}, 'musicBand': {'label': 'height (cm)', 'description': 'No description available DataTypeProperty'}, 'musicBrainzArtistId': {'label': 'MusicBrainz artist id', 'description': 'MusicBrainz artist. Applies to artists DataTypeProperty'}, 'musicComposer': {'label': 'national team match point', 'description': 'No description available DataTypeProperty'}, 'musicFusionGenre': {'label': 'free danse score', 'description': 'No description available DataTypeProperty'}, 'musicalArtist': {'label': 'weight (kg)', 'description': 'No description available DataTypeProperty'}, 'musicalBand': {'label': 'apoapsis (km)', 'description': 'No description available DataTypeProperty'}, 'musicalKey': {'label': 'musical key', 'description': 'No description available DataTypeProperty'}, 'musicians': {'label': 'density (μ3)', 'description': 'No description available DataTypeProperty'}, 'performer': {'label': 'apoapsis (km)', 'description': 'No description available DataTypeProperty'}, 'radioStation': {'label': 'radio station', 'description': 'No description available DataTypeProperty'}, 'residence': {'label': 'libretto', 'description': 'No description available DataTypeProperty'}, 'rolandGarrosSingle': {'label': 'roland garros single', 'description': 'No description available DataTypeProperty'}, 'terytCode': {'label': 'band', 'description': 'No description available DataTypeProperty'}, 'wimbledonSingle': {'label': 'wimbledon single', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Folk_music', 'musicFusionGenre', 'Neofolk'], ['Alex_Day', 'genre', 'Acoustic_music'], ['Folk_music', 'musicSubgenre', 'Contemporary_folk_music'], ['Hip_hop_music', 'musicSubgenre', 'Mafioso_rap'], ['Hip_hop_music', 'musicFusionGenre', 'Emo_rap'], ['Hip_hop_music', 'musicSubgenre', 'Christian_hip_hop'], ['Hip_hop_music', 'musicSubgenre', 'Gangsta_rap'], ['Hip_hop_music', 'musicSubgenre', 'Underground_hip_hop'], ['Electronic_music', 'derivative', 'Electronic_dance_music'], ['Hip_hop_music', 'musicSubgenre', 'Horrorcore'], ['Hip_hop_music', 'musicFusionGenre', 'Jazz_rap'], ['Hip_hop_music', 'musicFusionGenre', 'Rapcore'], ['Hip_hop_music', 'musicFusionGenre', 'Electro_(music)'], ['Hip_hop_music', 'musicSubgenre', 'Plugg_(music)'], ['Alex_Day', 'genre', 'Synthpop'], ['Folk_music', 'musicSubgenre', 'Contemporary_folk_music_(worldwide)'], ['Hip_hop_music', 'musicFusionGenre', 'Contemporary_R&B'], ['Electronic_music', 'derivative', 'Psychedelic_music'], ['Dub_music', 'musicSubgenre', 'Dub_poetry'], ['Hip_hop_music', 'musicFusionGenre', 'Trap_metal'], ['Noise_music', 'musicSubgenre', 'Power_electronics_(music)'], ['Hip_hop_music', 'musicSubgenre', 'Nerdcore'], ['Hip_hop_music', 'musicFusionGenre', 'Hip_hop_soul'], ['Hip_hop_music', 'musicFusionGenre', 'Rap_opera'], ['Ambient_music', 'musicFusionGenre', 'Ambient_techno'], ['Hip_hop_music', 'musicSubgenre', 'Memphis_rap'], ['Electronic_music', 'derivative', 'Dub_music'], ['Hip_hop_music', 'musicSubgenre', 'Snap_music'], ['Hip_hop_music', 'musicSubgenre', 'UK_drill'], ['Alex_Day', 'associatedMusicalArtist', 'Sons_of_Admirals'], ['Hip_hop_music', 'musicFusionGenre', 'Lofi_hip_hop'], ['Ambient_music', 'musicFusionGenre', 'Ambient_black_metal'], ['Hip_hop_music', 'musicSubgenre', 'Jewish_hip_hop'], ['Hip_hop_music', 'musicSubgenre', 'Latin_trap'], ['Hip_hop_music', 'musicSubgenre', 'Conscious_hip_hop'], ['Hip_hop_music', 'musicFusionGenre', 'Punk_rap'], ['Hip_hop_music', 'musicFusionGenre', 'Pop_rap'], ['Electronic_music', 'derivative', 'Noise_music'], ['Hip_hop_music', 'musicSubgenre', 'Crunkcore'], ['Dub_music', 'musicFusionGenre', 'Dub_techno'], ['Electronic_music', 'derivative', 'Drone_music'], ['Electronic_music', 'derivative', 'Synthedelia'], ['Hip_hop_music', 'musicSubgenre', 'Phonk'], ['Hip_hop_music', 'musicSubgenre', 'Road_rap'], ['Hip_hop_music', 'musicSubgenre', 'Drill_music'], ['Hip_hop_music', 'musicSubgenre', 'British_hip_hop'], ['Hip_hop_music', 'musicSubgenre', 'Dirty_rap'], ['Hip_hop_music', 'musicSubgenre', 'Tread_rap'], ['Hip_hop_music', 'musicSubgenre', 'Southern_hip_hop'], ['Hip_hop_music', 'musicFusionGenre', 'Country_rap'], ['Drone_music', 'musicFusionGenre', 'Drone_metal'], ['Hip_hop_music', 'musicSubgenre', 'East_Coast_hip_hop'], ['Ambient_music', 'musicFusionGenre', 'Drum_and_bass'], ['Hip_hop_music', 'musicSubgenre', 'Hyphy'], ['Hip_hop_music', 'musicFusionGenre', 'Hip_house'], ['Noise_music', 'musicFusionGenre', 'Power_noise'], ['Electronic_music', 'derivative', 'Neo_soul'], ['Hip_hop_music', 'musicSubgenre', 'Desi_hip_hop'], ['Hip_hop_music', 'musicSubgenre', 'Political_hip_hop'], ['Hip_hop_music', 'musicFusionGenre', 'Industrial_hip_hop'], ['Hip_hop_music', 'musicSubgenre', 'Mumble_rap'], ['Ambient_music', 'musicFusionGenre', 'Ambient_pop'], ['Ambient_music', 'musicSubgenre', 'Dark_ambient'], ['Electronic_music', 'derivative', 'Ambient_music'], ['Folk_music', 'musicFusionGenre', 'Anti-folk'], ['Ambient_music', 'musicSubgenre', 'Lowercase_(music)'], ['Hip_hop_music', 'musicSubgenre', 'Cloud_rap'], ['Dub_music', 'musicFusionGenre', 'Dubtronica'], ['Hip_hop_music', 'musicSubgenre', 'Bounce_music'], ['Hip_hop_music', 'musicSubgenre', 'Miami_bass'], ['Ambient_music', 'musicSubgenre', 'Drone_music'], ['Dub_music', 'musicFusionGenre', 'Psydub'], ['Electronic_music', 'derivative', 'New-age_music'], ['Ambient_music', 'musicFusionGenre', 'Ambient_dub'], ['Hip_hop_music', 'musicSubgenre', 'Alternative_hip_hop'], ['Ambient_music', 'musicFusionGenre', 'Illbient'], ['Hip_hop_music', 'musicSubgenre', "Jerkin'"], ['Hip_hop_music', 'musicSubgenre', 'Comedy_hip_hop'], ['Alex_Day', 'genre', 'Electronic_music'], ['Noise_music', 'musicSubgenre', 'Harsh_noise_wall'], ['Hip_hop_music', 'musicSubgenre', 'Chap_hop'], ['Hip_hop_music', 'musicFusionGenre', 'Rap_rock'], ['Alex_Day', 'associatedMusicalArtist', 'Chameleon_Circuit_(band)'], ['Hip_hop_music', 'musicSubgenre', 'Progressive_rap'], ['Hip_hop_music', 'musicSubgenre', 'Brooklyn_drill'], ['Hip_hop_music', 'musicSubgenre', 'Instrumental_hip_hop'], ['Ambient_music', 'musicFusionGenre', 'Psybient'], ['Hip_hop_music', 'musicFusionGenre', 'Rap_metal'], ['Folk_music', 'musicFusionGenre', 'Folk_rock'], ['Hip_hop_music', 'musicSubgenre', 'West_Coast_hip_hop'], ['Hip_hop_music', 'musicSubgenre', 'Chicano_rap'], ['Hip_hop_music', 'musicSubgenre', 'Latin_hip_hop'], ['Folk_music', 'musicFusionGenre', 'Folk_metal'], ['Hip_hop_music', 'musicFusionGenre', 'Ragga_hip_hop'], ['Hip_hop_music', 'musicSubgenre', 'Chopper_(rap)'], ['Hip_hop_music', 'musicSubgenre', 'Hipster_hop'], ['Hip_hop_music', 'musicSubgenre', 'Hardcore_hip_hop'], ['Hip_hop_music', 'musicSubgenre', 'Chopped_and_screwed'], ['Electronic_music', 'stylisticOrigin', 'Futurism_(music)'], ['Noise_music', 'musicFusionGenre', 'Glitch_(music)'], ['Noise_music', 'musicFusionGenre', 'Noise_rock'], ['Hip_hop_music', 'musicSubgenre', 'Freestyle_rap'], ['Hip_hop_music', 'musicSubgenre', 'Turntablism'], ['Electronic_music', 'derivative', 'New_wave_music'], ['Noise_music', 'musicFusionGenre', 'Noise_pop'], ['Hip_hop_music', 'musicSubgenre', 'Crunk'], ['Electronic_music', 'derivative', 'Hip_hop_music'], ['Hip_hop_music', 'musicSubgenre', 'G-funk'], ['Folk_music', 'musicFusionGenre', 'Skiffle'], ['Hip_hop_music', 'musicSubgenre', 'Trap_music'], ['Electronic_music', 'stylisticOrigin', 'Modernism_(music)'], ['Ambient_music', 'musicFusionGenre', 'Ambient_house'], ['Hip_hop_music', 'musicFusionGenre', 'New_jack_swing'], ['Hip_hop_music', 'musicFusionGenre', 'Trip_hop'], ['Hip_hop_music', 'musicSubgenre', 'Boom_bap'], ['Alex_Day', 'genre', 'Folk_music']]Text: Alex Day performs electronic music. bot:[('Alex_Day', 'genre', 'Electronic_music'), ('Alex_Day', 'type', 'Eukaryote')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'Olympics': {'label': 'olympics', 'comment': '-'}, 'OlympicEvent': {'label': 'olympic event', 'comment': '-'}, 'OlympicResult': {'label': 'olympic result', 'comment': '-'}, 'SportCompetitionResult': {'label': 'results of a sport competition', 'comment': '-'}, 'CyclingCompetition': {'label': 'cycling competition', 'comment': '-'}} Available Properties: {'championInDoubleFemale': {'label': 'ept itm', 'description': 'No description available DataTypeProperty'}, 'firstOlympicEvent': {'label': 'other', 'description': 'No description available DataTypeProperty'}, 'goldMedalDouble': {'label': 'gold medal double', 'description': 'No description available DataTypeProperty'}, 'goyaAward': {'label': 'length (mm)', 'description': 'No description available DataTypeProperty'}, 'nationalOlympicCommittee': {'label': 'date of burial', 'description': 'No description available DataTypeProperty'}, 'olympicGames': {'label': 'population metro density (/sqkm)', 'description': 'No description available DataTypeProperty'}, 'olympicGamesGold': {'label': 'olympic games gold', 'description': 'No description available DataTypeProperty'}, 'olympicGamesSilver': {'label': 'olympic games silver', 'description': 'No description available DataTypeProperty'}, 'olympicGamesWins': {'label': 'olympic games wins', 'description': 'No description available DataTypeProperty'}, 'participant': {'label': 'length (mm)', 'description': 'No description available DataTypeProperty'}, 'performer': {'label': 'apoapsis (km)', 'description': 'No description available DataTypeProperty'}, 'projectParticipant': {'label': 'lethal when given to rabbits', 'description': 'No description available DataTypeProperty'}, 'roleInEvent': {'label': 'agglomerationPopulationYear', 'description': 'No description available DataTypeProperty'}, 'silverMedalDouble': {'label': 'silver medal double', 'description': 'No description available DataTypeProperty'}} Subgraph:[]Text: Nataliya Moroz competed in the two events at the 1998 Winter Olympics. bot:[('Nataliya_Moroz', 'participant', '1998_Winter_Olympics')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'Airport': {'label': 'airport', 'comment': '-'}, 'Airline': {'label': 'airline', 'comment': '-'}, 'YearInSpaceflight': {'label': 'year in spaceflight', 'comment': '-'}, 'CareerStation': {'label': 'career station', 'comment': 'this class marks a career step in the life of a person, e.g. a soccer player, holding information on the time span, matches and goals he or she achieved at a certain club'}, 'Aircraft': {'label': 'aircraft', 'comment': '-'}, 'Altitude': {'label': 'altitude', 'comment': '-'}, 'MilitaryAircraft': {'label': 'military aircraft', 'comment': '-'}, 'Hospital': {'label': 'hospital', 'comment': '-'}, 'Stadium': {'label': 'stadium', 'comment': '-'}, 'Pilot': {'label': 'Pilot', 'comment': '-'}} Available Properties: {'accessDate': {'label': 'access date', 'description': 'No description available DataTypeProperty'}, 'airDate': {'label': 'airdate', 'description': 'No description available DataTypeProperty'}, 'aircraftAttack': {'label': 'geolocdual', 'description': 'No description available DataTypeProperty'}, 'aircraftBomber': {'label': 'geologic period', 'description': 'No description available DataTypeProperty'}, 'aircraftFighter': {'label': 'gini coefficient as of', 'description': 'No description available DataTypeProperty'}, 'aircraftPatrol': {'label': 'gold medal mixed', 'description': 'No description available DataTypeProperty'}, 'aircraftUser': {'label': 'LCC', 'description': 'The Library of Congress Classification (LCC) is a system of library classification developed by the Library of Congress. DataTypeProperty'}, 'altitude': {'label': 'legislative period name', 'description': 'The term of the on-going session (e.g.: "40th Canadian Parliament"). DataTypeProperty'}, 'designer': {'label': 'information name', 'description': 'No description available DataTypeProperty'}, 'faaLocationIdentifier': {'label': 'FAA Location Identifier', 'description': 'No description available DataTypeProperty'}, 'firstAirDate': {'label': 'first air date', 'description': 'The date on which regular broadcasts began. DataTypeProperty'}, 'firstFlight': {'label': 'introduction date', 'description': 'No description available DataTypeProperty'}, 'firstFlightEndDate': {'label': 'first flight end date', 'description': 'No description available DataTypeProperty'}, 'firstFlightStartDate': {'label': 'first flight start date', 'description': 'No description available DataTypeProperty'}, 'hubAirport': {'label': 'free', 'description': 'No description available DataTypeProperty'}, 'landingDate': {'label': 'landing date', 'description': 'No description available DataTypeProperty'}, 'lastAirDate': {'label': 'last air date', 'description': 'The date on which the broadcaster made its last broadcast. DataTypeProperty'}, 'lastFlightEndDate': {'label': 'last flight end date', 'description': 'No description available DataTypeProperty'}, 'movement': {'label': 'reservations', 'description': 'Are reservations required for the establishment or event? DataTypeProperty'}, 'runwayDesignation': {'label': 'designation of runway', 'description': 'No description available DataTypeProperty'}, 'significantDesign': {'label': 'Astrazenca', 'description': 'AstraZeneca plc is a British-Swedish multinational pharmaceutical and biotechnology company with its headquarters at the Cambridge Biomedical Campus in Cambridge, England. DataTypeProperty'}, 'targetAirport': {'label': 'mill code BE', 'description': 'mills code from the Belgian database on mills DataTypeProperty'}, 'timeZone': {'label': 'ONS ID (Office national des statistiques) Algeria', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Al_Anbar_Governorate', 'country', 'Iraq'], ['Al_Asad_Airbase', 'location', 'Al_Anbar_Governorate']]Text: 08/26 is the runway name of the Al Asad Airbase. bot:[('Al_Asad_Airbase', 'runwayDesignation', '08/26'), ('Al_Asad_Airbase', 'type', 'ArchitecturalStructure')]

human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'AutomobileEngine': {'label': 'automobile engine', 'comment': '-'}, 'Automobile': {'label': 'automobile', 'comment': '-'}, 'Engine': {'label': 'engine', 'comment': '-'}, 'Tram': {'label': 'streetcar', 'comment': '-'}, 'MilitaryVehicle': {'label': 'military vehicle', 'comment': '-'}} Available Properties: {'alternativeName': {'label': 'alternative name', 'description': 'Alternative naming of anything not being a Person (for which case foaf:nick should be used). DataTypeProperty'}, 'automobileModel': {'label': 'automobile model', 'description': 'No description available DataTypeProperty'}, 'automobilePlatform': {'label': 'element block', 'description': 'A block of the periodic table of elements is a set of adjacent groups. DataTypeProperty'}, 'cableCar': {'label': 'cable car', 'description': 'No description available DataTypeProperty'}, 'carNumber': {'label': 'car number', 'description': 'No description available DataTypeProperty'}, 'class': {'label': 'last flight end date', 'description': 'No description available DataTypeProperty'}, 'classis': {'label': 'broadcast translator', 'description': 'No description available DataTypeProperty'}, 'engine': {'label': 'measurements', 'description': 'No description available DataTypeProperty'}, 'engineType': {'label': 'UCI code', 'description': 'Official UCI code for cycling teams DataTypeProperty'}, 'fuelTypeName': {'label': 'fuel type', 'description': 'No description available ObjectTypeProperty'}, 'gameEngine': {'label': 'number of entities of Settlement class in country', 'description': 'No description available DataTypeProperty'}, 'namedAfter': {'label': 'original danse competititon', 'description': 'No description available DataTypeProperty'}, 'namedByLanguage': {'label': 'maximum temperature (K)', 'description': 'No description available DataTypeProperty'}, 'sourceName': {'label': 'death date', 'description': 'No description available DataTypeProperty'}, 'subClassis': {'label': 'last launch', 'description': 'No description available DataTypeProperty'}, 'vehicle': {'label': 'area land (m2)', 'description': 'No description available DataTypeProperty'}, 'vehicleCode': {'label': 'vehicle code', 'description': 'Region related vehicle code on the vehicle plates. DataTypeProperty'}, 'vehiclesInFleet': {'label': 'faculty size', 'description': 'number of faculty members DataTypeProperty'}} Subgraph:[array(['Alfa_Romeo', 'product', 'Luxury_car'], dtype=object) array(['Alfa_Romeo_164', 'bodyStyle', 'Sedan_(car)'], dtype=object) array(['Alfa_Romeo_164', 'automobilePlatform', 'Type_Four_platform'], dtype=object) array(['Alfa_Romeo_164', 'class', 'Executive_car'], dtype=object)]Text: The Alfa Romeo 164, also known as Alfa Romeo 168, is considered a mid-size luxury executive car and has a 2.5 litre engine. bot:[('Alfa_Romeo_164', 'alternativeName', 'Alfa_Romeo_164'), ('Alfa_Romeo_164', 'class', 'Mid-size_luxury_/_Executive_car'), ('Alfa_Romeo_164', 'engine', '2.5_litres'), ('A', 'l', 'f'), ('Alfa_Romeo_164', 'type', 'Car')]