chosen
listlengths
2
18
dataset
stringclasses
9 values
messages
listlengths
2
18
id
stringlengths
1
6
rejected
listlengths
2
18
[ { "content": "Given the following context: Text: 'His major commission was the completion of <head> Giorgio Vasari </head> 's <tail> Palazzo degli Uffizi </tail> .'. Identify the relations between entities and classify them into one of the following: [mountain_range, developer, subsidiary, religion, place_served_by_transport_hub, successful_candidate, movement, contains_administrative_territorial_entity, screenwriter, occupant, location_of_formation, mouth_of_the_watercourse, league, location, member_of_political_party, position_held, operating_system, winner, performer, head_of_government, distributor, characters, participant, followed_by, participating_team, nominated_for, notable_work, genre, owned_by, military_branch, said_to_be_the_same_as, sibling, applies_to_jurisdiction, occupation, field_of_work, country_of_citizenship, heritage_designation, sports_season_of_league_or_competition, located_in_the_administrative_territorial_entity, work_location, taxon_rank, instance_of, architect, director, father, composer, country, licensed_to_broadcast_to, original_network].Please give the answer in the tuple form \"[Answer]: ({subject}; {relation}; {object})\n\".", "role": "user" }, { "content": "[Answer]: (giorgio vasari; notable_work; palazzo degli uffizi)", "role": "assistant" } ]
fewrel
[ { "content": "Given the following context: Text: 'His major commission was the completion of <head> Giorgio Vasari </head> 's <tail> Palazzo degli Uffizi </tail> .'. Identify the relations between entities and classify them into one of the following: [mountain_range, developer, subsidiary, religion, place_served_by_transport_hub, successful_candidate, movement, contains_administrative_territorial_entity, screenwriter, occupant, location_of_formation, mouth_of_the_watercourse, league, location, member_of_political_party, position_held, operating_system, winner, performer, head_of_government, distributor, characters, participant, followed_by, participating_team, nominated_for, notable_work, genre, owned_by, military_branch, said_to_be_the_same_as, sibling, applies_to_jurisdiction, occupation, field_of_work, country_of_citizenship, heritage_designation, sports_season_of_league_or_competition, located_in_the_administrative_territorial_entity, work_location, taxon_rank, instance_of, architect, director, father, composer, country, licensed_to_broadcast_to, original_network].Please give the answer in the tuple form \"[Answer]: ({subject}; {relation}; {object})\n\".", "role": "user" }, { "content": "[Answer]: (giorgio vasari; notable_work; palazzo degli uffizi)", "role": "assistant" } ]
43704
[ { "content": "Given the following context: Text: 'His major commission was the completion of <head> Giorgio Vasari </head> 's <tail> Palazzo degli Uffizi </tail> .'. Identify the relations between entities and classify them into one of the following: [mountain_range, developer, subsidiary, religion, place_served_by_transport_hub, successful_candidate, movement, contains_administrative_territorial_entity, screenwriter, occupant, location_of_formation, mouth_of_the_watercourse, league, location, member_of_political_party, position_held, operating_system, winner, performer, head_of_government, distributor, characters, participant, followed_by, participating_team, nominated_for, notable_work, genre, owned_by, military_branch, said_to_be_the_same_as, sibling, applies_to_jurisdiction, occupation, field_of_work, country_of_citizenship, heritage_designation, sports_season_of_league_or_competition, located_in_the_administrative_territorial_entity, work_location, taxon_rank, instance_of, architect, director, father, composer, country, licensed_to_broadcast_to, original_network].Please give the answer in the tuple form \"[Answer]: ({subject}; {relation}; {object})\n\".", "role": "user" }, { "content": "[Answer]: (giorgio vasari; significant_work; palazzo degli uffizi)", "role": "assistant" } ]
[ { "content": "In the given text, find out the mention of [\"Agent: such as militants belonging to the organization, Seth Rollins, hydroplaning of the landing gear wheels, Coalition troops, dry air.\", \"Patient: such as the inquiry, Beirut airport, streets and highways throughout the hardest-hit areas, effectiveness of the fighter force, some communities.\"].\n<text>. If there is no mention of <options>, please provide ``NA`` as the output.Please give the answer in the form \"[Answer]: {word}: {role}; \".\n\nText: 'The Inqilab March (انقلاب مارچ) (English: March for Revolution) was a public protest by the Pakistan Awami Tehrik (PAT) Party occurring in August and September 2014. In mid-August 2014, Islamic Scholar and political figure Muhammad Tahir-ul-Qadri led thousands of people, in hundreds of cars, buses and trucks towards the federal capital, Islamabad, from the provincial capital, Lahore. Many of the protesters were his die hard but peaceful and unarmed political workers and students from all parts of Pakistan. All of these peaceful workers were demanding the lodging/registering the FIR against the killers of Model Town Massacre. It was an incident when Punjab Police killed at least 14 workers including 2 pregnant women and injured more than 100 workers of PAT on their headquarters in Lahore on 14 June 2014 with straight fires. Police from more than dozen police stations in Lahore attacked the house of Dr Tahir ul Qadri's residence and the secretariate of Pakistan Awami Tehreek/Minhaj-ul-Quran with a huge number of policemen along with goons of the ruling party PMLN. They also demolished a lot of infrastructure and broke windows of vehicles there and looted shops in the vicinity. By the pressure generated by these Inqilab March participants the FIR was launched for Model Town Massacre by the intervention of the Army Chief of Pakistan General Raheel Sharif. The Inqilab (Revolution) march was also aimed at the bringing down of the mega-scale corrupt practices of the government, electoral reforms, fast and speedy justice and facilitation of basic necessities of life to the poor unprivileged classes of Pakistan in the wake of looting the taxpayers' money and saving in offshore havens. The protesters were of the opinion that the rulers are not only looters but also killers of humanity because they leave no stone unturned to remain in power and suck every inch of national resources by means of their corrupt nature and practices.The march also demanded a change of system by reforms and law of the land using Article 62 and 63 of the constitution of Pakistan to <event> hinder </event> the entrance of unsuitable , illiterate and fake degree holders into the Parliament . They also demanded the restoration of Article 1 to 40 of the constitution of Pakistan which guarantees the basic human rights of the people of Pakistan which under the bad governance of the corrupt rulers have been subsided. The march was ended by the sole decision of the party leaders of Pakistan Awami Tehreek (PAT).'", "role": "user" }, { "content": "[Answer]: the entrance of unsuitable , illiterate and fake degree holders into the Parliament: Patient; The march: Agent;", "role": "assistant" } ]
maven-eae
[ { "content": "In the given text, find out the mention of [\"Agent: such as militants belonging to the organization, Seth Rollins, hydroplaning of the landing gear wheels, Coalition troops, dry air.\", \"Patient: such as the inquiry, Beirut airport, streets and highways throughout the hardest-hit areas, effectiveness of the fighter force, some communities.\"].\n<text>. If there is no mention of <options>, please provide ``NA`` as the output.Please give the answer in the form \"[Answer]: {word}: {role}; \".\n\nText: 'The Inqilab March (انقلاب مارچ) (English: March for Revolution) was a public protest by the Pakistan Awami Tehrik (PAT) Party occurring in August and September 2014. In mid-August 2014, Islamic Scholar and political figure Muhammad Tahir-ul-Qadri led thousands of people, in hundreds of cars, buses and trucks towards the federal capital, Islamabad, from the provincial capital, Lahore. Many of the protesters were his die hard but peaceful and unarmed political workers and students from all parts of Pakistan. All of these peaceful workers were demanding the lodging/registering the FIR against the killers of Model Town Massacre. It was an incident when Punjab Police killed at least 14 workers including 2 pregnant women and injured more than 100 workers of PAT on their headquarters in Lahore on 14 June 2014 with straight fires. Police from more than dozen police stations in Lahore attacked the house of Dr Tahir ul Qadri's residence and the secretariate of Pakistan Awami Tehreek/Minhaj-ul-Quran with a huge number of policemen along with goons of the ruling party PMLN. They also demolished a lot of infrastructure and broke windows of vehicles there and looted shops in the vicinity. By the pressure generated by these Inqilab March participants the FIR was launched for Model Town Massacre by the intervention of the Army Chief of Pakistan General Raheel Sharif. The Inqilab (Revolution) march was also aimed at the bringing down of the mega-scale corrupt practices of the government, electoral reforms, fast and speedy justice and facilitation of basic necessities of life to the poor unprivileged classes of Pakistan in the wake of looting the taxpayers' money and saving in offshore havens. The protesters were of the opinion that the rulers are not only looters but also killers of humanity because they leave no stone unturned to remain in power and suck every inch of national resources by means of their corrupt nature and practices.The march also demanded a change of system by reforms and law of the land using Article 62 and 63 of the constitution of Pakistan to <event> hinder </event> the entrance of unsuitable , illiterate and fake degree holders into the Parliament . They also demanded the restoration of Article 1 to 40 of the constitution of Pakistan which guarantees the basic human rights of the people of Pakistan which under the bad governance of the corrupt rulers have been subsided. The march was ended by the sole decision of the party leaders of Pakistan Awami Tehreek (PAT).'", "role": "user" }, { "content": "[Answer]: the entrance of unsuitable , illiterate and fake degree holders: Patient; Article 62 and 63 of the constitution of Pakistan: Agent;", "role": "assistant" } ]
8481
[ { "content": "In the given text, find out the mention of [\"Agent: such as militants belonging to the organization, Seth Rollins, hydroplaning of the landing gear wheels, Coalition troops, dry air.\", \"Patient: such as the inquiry, Beirut airport, streets and highways throughout the hardest-hit areas, effectiveness of the fighter force, some communities.\"].\n<text>. If there is no mention of <options>, please provide ``NA`` as the output.Please give the answer in the form \"[Answer]: {word}: {role}; \".\n\nText: 'The Inqilab March (انقلاب مارچ) (English: March for Revolution) was a public protest by the Pakistan Awami Tehrik (PAT) Party occurring in August and September 2014. In mid-August 2014, Islamic Scholar and political figure Muhammad Tahir-ul-Qadri led thousands of people, in hundreds of cars, buses and trucks towards the federal capital, Islamabad, from the provincial capital, Lahore. Many of the protesters were his die hard but peaceful and unarmed political workers and students from all parts of Pakistan. All of these peaceful workers were demanding the lodging/registering the FIR against the killers of Model Town Massacre. It was an incident when Punjab Police killed at least 14 workers including 2 pregnant women and injured more than 100 workers of PAT on their headquarters in Lahore on 14 June 2014 with straight fires. Police from more than dozen police stations in Lahore attacked the house of Dr Tahir ul Qadri's residence and the secretariate of Pakistan Awami Tehreek/Minhaj-ul-Quran with a huge number of policemen along with goons of the ruling party PMLN. They also demolished a lot of infrastructure and broke windows of vehicles there and looted shops in the vicinity. By the pressure generated by these Inqilab March participants the FIR was launched for Model Town Massacre by the intervention of the Army Chief of Pakistan General Raheel Sharif. The Inqilab (Revolution) march was also aimed at the bringing down of the mega-scale corrupt practices of the government, electoral reforms, fast and speedy justice and facilitation of basic necessities of life to the poor unprivileged classes of Pakistan in the wake of looting the taxpayers' money and saving in offshore havens. The protesters were of the opinion that the rulers are not only looters but also killers of humanity because they leave no stone unturned to remain in power and suck every inch of national resources by means of their corrupt nature and practices.The march also demanded a change of system by reforms and law of the land using Article 62 and 63 of the constitution of Pakistan to <event> hinder </event> the entrance of unsuitable , illiterate and fake degree holders into the Parliament . They also demanded the restoration of Article 1 to 40 of the constitution of Pakistan which guarantees the basic human rights of the people of Pakistan which under the bad governance of the corrupt rulers have been subsided. The march was ended by the sole decision of the party leaders of Pakistan Awami Tehreek (PAT).'", "role": "user" }, { "content": "[Answer]: unsuitable , illiterate and fake degree holders: Patient; The Inqilab March ( انقلاب مارچ ) ( English: March for Revolution ): Agent; Parliament: Agent; the entrance: Patient;", "role": "assistant" } ]
[ { "content": "In the text ``Text: 'The Action of 18 August 1798 was a minor naval engagement of the French Revolutionary Wars, fought between the British fourth rate ship HMS \"Leander\" and the French ship of the line \"Généreux\". Both ships had been engaged at the Battle of the Nile three weeks earlier, in which a British fleet under Rear-Admiral Sir Horatio Nelson had destroyed a French fleet at Aboukir Bay on the Mediterranean coast of Egypt. \"Généreux\" was one of only four French ships to survive the battle, while \"Leander\" had been detached from the British fleet by Nelson on 6 August. On board, Captain Edward Berry sailed as a passenger, charged with carrying despatches to the squadron under Earl St Vincent off Cadiz. On 18 August, while passing the western shore of Crete, \"Leander\" was intercepted and attacked by \"Généreux\", which had separated from the rest of the French survivors the day before. Captain Thomas Thompson on \"Leander\" initially tried to escape the much larger French ship, but it rapidly became clear that \"Généreux\" was faster than his vessel. At 09:00 the ships exchanged broadsides, the engagement continuing until 10:30, when Captain Louis-Jean-Nicolas Lejoille made an unsuccessful attempt to board \"Leander\", suffering heavy casualties in the attempt. For another five hours the battle continued, Thompson successfully raking \"Généreux\" at one stage but ultimately being outfought and outmanoeuvred by the larger warship. Eventually the wounded Thompson surrendered his dismasted ship by ordering his men to wave a French tricolour on a pike. As French sailors took possession of the British ship, Lejoille encouraged systematic looting of the sailors' personal possessions, even confiscating the surgeon's tools in the middle of an operation. Against the established conventions of warfare, he forced the captured crew to assist in bringing \"Leander\" safely into Corfu, and denied them food and medical treatment unless they co-operated with their captors. Lejoille's published account of the action greatly exaggerated the scale of his success, and, although he was highly praised in the French press, he was castigated in Britain for his conduct.Thompson , Berry and most of the British officers were exchanged and acquitted at court martial , and the captains were knighted for their services , while `` Leander '' and many of the crew were recaptured in March 1799 by a Russian squadron that <event> seized </event> Corfu , and returned to British control by order of Tsar Paul . \"Généreux\" survived another year in the Mediterranean, but was eventually captured off Malta in 1800 by a British squadron under Lord Nelson.'``, there is an event \"seized\". Please extract the roles or arguments for it. The role set: ``[\"'Location' means 'The location occupied in a war conflict, or the location where a war conflict occurs. The term \"location\" here broadly refers to places with specific geographic positions, such as countries or regions, as well as vehicles, ships, or certain areas that represent the concept of position in the sentence.' For example, 'east-bank', 'Seoul', 'Southern Italy', 'Kanpur', 'Venezuela'.\", \"'Agent' means 'The main body that wins in a war conflict, or the main body that occupies a certain location or area. It can be an individual, army, organization, group, etc.' For example, 'Sviatoslav', 'a relief army from Syracuse', 'U.S.', 'hv', 'Portuguese forces'.\", \"'Patient' means 'The subject who loses territory and property in the context of war conflict. It can be an individual, a military, an organized group, etc.' For example, 'an artillery piece', 'rebel leader', 'Rana Sanga', 'people 's democratic republic of ethiopia', 'Thomas Graves'.\", \"'Name' means 'War, conflict, and armed activities are generic terms.' For example, 'Greco-Persian Wars', 'the Third Anglo-Mysore War', 'The Battle of Ostrovo', 'Operation Anton', 'The 2010–11 Caribbean Twenty20 season'.\"]''.First explain your thoughts and then give the answer. Please give the answer in the form \"[Answer]: {word}: {role}; \".", "role": "user" }, { "content": "[Explanation]: Within the provided context, the event \"seized\" is linked to the event type \"Military_operation\".[Answer]: Corfu: Patient; Russian squadron: Agent;", "role": "assistant" } ]
maven-eae
[ { "content": "In the text ``Text: 'The Action of 18 August 1798 was a minor naval engagement of the French Revolutionary Wars, fought between the British fourth rate ship HMS \"Leander\" and the French ship of the line \"Généreux\". Both ships had been engaged at the Battle of the Nile three weeks earlier, in which a British fleet under Rear-Admiral Sir Horatio Nelson had destroyed a French fleet at Aboukir Bay on the Mediterranean coast of Egypt. \"Généreux\" was one of only four French ships to survive the battle, while \"Leander\" had been detached from the British fleet by Nelson on 6 August. On board, Captain Edward Berry sailed as a passenger, charged with carrying despatches to the squadron under Earl St Vincent off Cadiz. On 18 August, while passing the western shore of Crete, \"Leander\" was intercepted and attacked by \"Généreux\", which had separated from the rest of the French survivors the day before. Captain Thomas Thompson on \"Leander\" initially tried to escape the much larger French ship, but it rapidly became clear that \"Généreux\" was faster than his vessel. At 09:00 the ships exchanged broadsides, the engagement continuing until 10:30, when Captain Louis-Jean-Nicolas Lejoille made an unsuccessful attempt to board \"Leander\", suffering heavy casualties in the attempt. For another five hours the battle continued, Thompson successfully raking \"Généreux\" at one stage but ultimately being outfought and outmanoeuvred by the larger warship. Eventually the wounded Thompson surrendered his dismasted ship by ordering his men to wave a French tricolour on a pike. As French sailors took possession of the British ship, Lejoille encouraged systematic looting of the sailors' personal possessions, even confiscating the surgeon's tools in the middle of an operation. Against the established conventions of warfare, he forced the captured crew to assist in bringing \"Leander\" safely into Corfu, and denied them food and medical treatment unless they co-operated with their captors. Lejoille's published account of the action greatly exaggerated the scale of his success, and, although he was highly praised in the French press, he was castigated in Britain for his conduct.Thompson , Berry and most of the British officers were exchanged and acquitted at court martial , and the captains were knighted for their services , while `` Leander '' and many of the crew were recaptured in March 1799 by a Russian squadron that <event> seized </event> Corfu , and returned to British control by order of Tsar Paul . \"Généreux\" survived another year in the Mediterranean, but was eventually captured off Malta in 1800 by a British squadron under Lord Nelson.'``, there is an event \"seized\". Please extract the roles or arguments for it. The role set: ``[\"'Location' means 'The location occupied in a war conflict, or the location where a war conflict occurs. The term \"location\" here broadly refers to places with specific geographic positions, such as countries or regions, as well as vehicles, ships, or certain areas that represent the concept of position in the sentence.' For example, 'east-bank', 'Seoul', 'Southern Italy', 'Kanpur', 'Venezuela'.\", \"'Agent' means 'The main body that wins in a war conflict, or the main body that occupies a certain location or area. It can be an individual, army, organization, group, etc.' For example, 'Sviatoslav', 'a relief army from Syracuse', 'U.S.', 'hv', 'Portuguese forces'.\", \"'Patient' means 'The subject who loses territory and property in the context of war conflict. It can be an individual, a military, an organized group, etc.' For example, 'an artillery piece', 'rebel leader', 'Rana Sanga', 'people 's democratic republic of ethiopia', 'Thomas Graves'.\", \"'Name' means 'War, conflict, and armed activities are generic terms.' For example, 'Greco-Persian Wars', 'the Third Anglo-Mysore War', 'The Battle of Ostrovo', 'Operation Anton', 'The 2010–11 Caribbean Twenty20 season'.\"]''.First explain your thoughts and then give the answer. Please give the answer in the form \"[Answer]: {word}: {role}; \".", "role": "user" }, { "content": "[Explanation]: In the given context, the event \"seized\" is associated with the event type \"Conquering\".In the given context, the event \"seized\" is associated with the event type \"Conquering\".[Answer]: Russian squadron: Agent; Corfu: Location;", "role": "assistant" } ]
21767
[ { "content": "In the text ``Text: 'The Action of 18 August 1798 was a minor naval engagement of the French Revolutionary Wars, fought between the British fourth rate ship HMS \"Leander\" and the French ship of the line \"Généreux\". Both ships had been engaged at the Battle of the Nile three weeks earlier, in which a British fleet under Rear-Admiral Sir Horatio Nelson had destroyed a French fleet at Aboukir Bay on the Mediterranean coast of Egypt. \"Généreux\" was one of only four French ships to survive the battle, while \"Leander\" had been detached from the British fleet by Nelson on 6 August. On board, Captain Edward Berry sailed as a passenger, charged with carrying despatches to the squadron under Earl St Vincent off Cadiz. On 18 August, while passing the western shore of Crete, \"Leander\" was intercepted and attacked by \"Généreux\", which had separated from the rest of the French survivors the day before. Captain Thomas Thompson on \"Leander\" initially tried to escape the much larger French ship, but it rapidly became clear that \"Généreux\" was faster than his vessel. At 09:00 the ships exchanged broadsides, the engagement continuing until 10:30, when Captain Louis-Jean-Nicolas Lejoille made an unsuccessful attempt to board \"Leander\", suffering heavy casualties in the attempt. For another five hours the battle continued, Thompson successfully raking \"Généreux\" at one stage but ultimately being outfought and outmanoeuvred by the larger warship. Eventually the wounded Thompson surrendered his dismasted ship by ordering his men to wave a French tricolour on a pike. As French sailors took possession of the British ship, Lejoille encouraged systematic looting of the sailors' personal possessions, even confiscating the surgeon's tools in the middle of an operation. Against the established conventions of warfare, he forced the captured crew to assist in bringing \"Leander\" safely into Corfu, and denied them food and medical treatment unless they co-operated with their captors. Lejoille's published account of the action greatly exaggerated the scale of his success, and, although he was highly praised in the French press, he was castigated in Britain for his conduct.Thompson , Berry and most of the British officers were exchanged and acquitted at court martial , and the captains were knighted for their services , while `` Leander '' and many of the crew were recaptured in March 1799 by a Russian squadron that <event> seized </event> Corfu , and returned to British control by order of Tsar Paul . \"Généreux\" survived another year in the Mediterranean, but was eventually captured off Malta in 1800 by a British squadron under Lord Nelson.'``, there is an event \"seized\". Please extract the roles or arguments for it. The role set: ``[\"'Location' means 'The location occupied in a war conflict, or the location where a war conflict occurs. The term \"location\" here broadly refers to places with specific geographic positions, such as countries or regions, as well as vehicles, ships, or certain areas that represent the concept of position in the sentence.' For example, 'east-bank', 'Seoul', 'Southern Italy', 'Kanpur', 'Venezuela'.\", \"'Agent' means 'The main body that wins in a war conflict, or the main body that occupies a certain location or area. It can be an individual, army, organization, group, etc.' For example, 'Sviatoslav', 'a relief army from Syracuse', 'U.S.', 'hv', 'Portuguese forces'.\", \"'Patient' means 'The subject who loses territory and property in the context of war conflict. It can be an individual, a military, an organized group, etc.' For example, 'an artillery piece', 'rebel leader', 'Rana Sanga', 'people 's democratic republic of ethiopia', 'Thomas Graves'.\", \"'Name' means 'War, conflict, and armed activities are generic terms.' For example, 'Greco-Persian Wars', 'the Third Anglo-Mysore War', 'The Battle of Ostrovo', 'Operation Anton', 'The 2010–11 Caribbean Twenty20 season'.\"]''.First explain your thoughts and then give the answer. Please give the answer in the form \"[Answer]: {word}: {role}; \".", "role": "user" }, { "content": "[Explanation]: The narrative provided outlines an event, specifically \"seized\", which pertains to the event type \"Conquering\".[Answer]: \"Corfu\": Location; \"Corfu\": Patient; \"Corfu\": Name; \"Leander\": Patient; \"Corfu was recaptured by british\": Name; a Russian squadron: Agent; \"Leander\": Location; \"french\": Patient; \"Leander\": Patient; \"Généreux\": Patient;", "role": "assistant" } ]
[ { "content": "Based on the context provided below, identify the entities that fit the criteria of [attacker, place, target, artifact]: Text: 'A nation that would n’t see civilian deaths as acceptable collateral damage from drone assassinations of suspected terrorists . That would n’t advocate and laugh at murder — even of admitted terrorists . You ’d expect something more along the lines of “ We tried our best to capture him alive so that we could bring him back to face justice starting with a fair trial , but , sadly , he died in a <event> firefight </event>. ” With a serious face , becoming of a Presumptive Future President . Not with a cackle that dismisses the value of human life , a value enshrined in the American conception of justice : innocent until proven guilty . Yep , Robert Gates ; Gang of Three ; Dick Cheney ( “ Vice”)—those are the Comrades with whom she shares her voluminous experience .'. If no entities fit the criteria, return ``No entities fit the criteria`` as output.First explain your thoughts step-by-step and then give the answer. Please give the answer in the form \"[Answer]: {word}: {role}; \".", "role": "user" }, { "content": "[Step-by-Step Explanation]: 1. The text mentions a nation that \"would n’t see civilian deaths as acceptable collateral damage from drone assassinations of suspected terrorists.\" This indicates the nation is involved in drone attacks, fitting the role of \"attacker.\"\n2. The phrase \"drone assassinations of suspected terrorists\" specifies the target of the drone attacks, which are suspected terrorists. This directly links the drones to the act of killing, making them the \"artifact\" in this context.\n3. The mention of \"civilian deaths\" as unacceptable collateral damage indicates the target of these drone attacks may include civilians, but this is not explicitly mentioned in the provided text. Therefore, \"civilian\" is not directly identified as fitting the criteria, but it is inferred based on the context.\n4. The phrase \"that we could bring him back to face justice starting with a fair trial\" suggests the nation is attempting to capture individuals for legal purposes. This aligns with the \"target\" role, indicating the nation is actively seeking to apprehend individuals for legal action.\nEach step is based on the information provided in the question, connecting specific phrases and ideas to the criteria of \"attacker,\" \"place,\" \"target,\" and \"artifact.\" [Answer]: nation: attacker; drones: artifact; terrorists: target;", "role": "assistant" } ]
RAMS-eae
[ { "content": "Based on the context provided below, identify the entities that fit the criteria of [attacker, place, target, artifact]: Text: 'A nation that would n’t see civilian deaths as acceptable collateral damage from drone assassinations of suspected terrorists . That would n’t advocate and laugh at murder — even of admitted terrorists . You ’d expect something more along the lines of “ We tried our best to capture him alive so that we could bring him back to face justice starting with a fair trial , but , sadly , he died in a <event> firefight </event>. ” With a serious face , becoming of a Presumptive Future President . Not with a cackle that dismisses the value of human life , a value enshrined in the American conception of justice : innocent until proven guilty . Yep , Robert Gates ; Gang of Three ; Dick Cheney ( “ Vice”)—those are the Comrades with whom she shares her voluminous experience .'. If no entities fit the criteria, return ``No entities fit the criteria`` as output.First explain your thoughts step-by-step and then give the answer. Please give the answer in the form \"[Answer]: {word}: {role}; \".", "role": "user" }, { "content": "[Step-by-Step Explanation]: 1. Identifying the \"attacker\": The text mentions \"We tried our best to capture him alive,\" indicating a group or entity taking action against another. The use of \"We\" implies the speaker and their associates are the ones initiating the action, fitting the role of the attacker.\n2. Identifying the \"target\": The phrase \"capture him alive\" and later \"he died in a firefight\" points to \"he\" as the recipient of the action, making him the target of the attackers' efforts.\n3. The context does not clearly define a specific \"place\" or \"artifact\" involved in the event, nor does it mention a specific event that fits the criteria for \"place\" or \"artifact.\"\n4. The explanation focuses on the roles directly mentioned and involved in the action described, adhering to the information provided in the question. [Answer]: We: attacker; he: target;", "role": "assistant" } ]
7169
[ { "content": "Based on the context provided below, identify the entities that fit the criteria of [attacker, place, target, artifact]: Text: 'A nation that would n’t see civilian deaths as acceptable collateral damage from drone assassinations of suspected terrorists . That would n’t advocate and laugh at murder — even of admitted terrorists . You ’d expect something more along the lines of “ We tried our best to capture him alive so that we could bring him back to face justice starting with a fair trial , but , sadly , he died in a <event> firefight </event>. ” With a serious face , becoming of a Presumptive Future President . Not with a cackle that dismisses the value of human life , a value enshrined in the American conception of justice : innocent until proven guilty . Yep , Robert Gates ; Gang of Three ; Dick Cheney ( “ Vice”)—those are the Comrades with whom she shares her voluminous experience .'. If no entities fit the criteria, return ``No entities fit the criteria`` as output.First explain your thoughts step-by-step and then give the answer. Please give the answer in the form \"[Answer]: {word}: {role}; \".", "role": "user" }, { "content": "[Step-by-Step Explanation]: 1. **Identify Entities within the Context**: The text mentions a \"suspected terrorist\" being targeted in a firefight and refers to him as \"him.\" This selection of information serves as the entity to be classified according to the event's roles.\n\n2. **Categorize the Entity**: Since the subject of the event is the one dying, \"him\" fits into the role of the \"target,\" as it is the individual being harmed or affected by the event.\n\n3. **Verify Roles**: Throughout the text, \"justice\" is mentioned as the goal of capturing and bringing someone alive is discussed before their death, thus linking it to the theme of bringing criminals to justice with a trial, aligning with the role of \"artifact.\" However, since \"justice\" is not directly involved in the event leading to \"him\" dying in the firefight, it is not listed as a valid classification for this particular context.\n\n4. **Formulate the Answer**: Given the identification of \"him\" as the \"target\" for his death and the concept of \"justice\" as the overarching theme, focusing on the event of dying in the firefight, the classification of \"him\" as the \"attacker\" within the firefight does not fit the context provided. Thus, the answer is formulated as: \"him: target; him: attacker; him: target; him: target; him: target; him: target; him: target; his: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: attacker; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; his: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; them: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; his: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; them: target;\" [Answer]: him: target; him: target; him: target; him: target; them: target; him: target; him: target; his: target; them: target; his: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target; him: target", "role": "assistant" } ]
[ { "content": "Extract the key entities mentioned in \"<text>\" and provide the possible interpretations of their roles in the given context. Mention [\"Catastrophe: such as storm, hurricane, floods, Hurricane, cyclone.\", \"Collaboration: such as Confederate, coalition, joint, associated.\", \"Robbery: such as looting, robbery, looted.\", \"Motion: such as moved, fell, waiting, Moving, coming.\", \"Giving: such as hand, granted, coined, providing, allowed.\", \"Arrest: such as arrested, arrest, incarceration.\", \"Dispersal: such as dissipated, dissolving, dissipating, spread.\", \"Process_end: such as stopped, ceased, end, ending.\", \"Forming_relationships: such as consisted, marriage, separation, married, engagement.\", \"Resolve_problem: such as addressed, settled, fix, settle, settling.\", \"Extradition: such as extradited, indict, deported, extradition.\", \"Reporting: such as report, reports, reported.\", \"Lighting: such as thunder, Flaming, thunderstorms, light, lighting.\", \"Expend_resource\", \"Incident: such as timing, random, incident, accident.\", \"Name_conferral: such as called, renamed, refer, named.\"] to describe the role.Please give the analysis first. Please give the answer in the form \"[Answer]: {event}: {class}; \".\nText: 'Over the following days, the cyclone showed signs of restrengthening and executed an elongated cyclonic loop to the southeast of Papua New Guinea.'", "role": "user" }, { "content": "[Explanation]: According to the provided event type and text, \"cyclone\" serves as an event trigger word, instigating an event classified under \"Catastrophe\". In conclusion, [Answer]: cyclone: Catastrophe;", "role": "assistant" } ]
maven-ed
[ { "content": "Extract the key entities mentioned in \"<text>\" and provide the possible interpretations of their roles in the given context. Mention [\"Catastrophe: such as storm, hurricane, floods, Hurricane, cyclone.\", \"Collaboration: such as Confederate, coalition, joint, associated.\", \"Robbery: such as looting, robbery, looted.\", \"Motion: such as moved, fell, waiting, Moving, coming.\", \"Giving: such as hand, granted, coined, providing, allowed.\", \"Arrest: such as arrested, arrest, incarceration.\", \"Dispersal: such as dissipated, dissolving, dissipating, spread.\", \"Process_end: such as stopped, ceased, end, ending.\", \"Forming_relationships: such as consisted, marriage, separation, married, engagement.\", \"Resolve_problem: such as addressed, settled, fix, settle, settling.\", \"Extradition: such as extradited, indict, deported, extradition.\", \"Reporting: such as report, reports, reported.\", \"Lighting: such as thunder, Flaming, thunderstorms, light, lighting.\", \"Expend_resource\", \"Incident: such as timing, random, incident, accident.\", \"Name_conferral: such as called, renamed, refer, named.\"] to describe the role.Please give the analysis first. Please give the answer in the form \"[Answer]: {event}: {class}; \".\nText: 'Over the following days, the cyclone showed signs of restrengthening and executed an elongated cyclonic loop to the southeast of Papua New Guinea.'", "role": "user" }, { "content": "[Explanation]: Based on the given predefined event type and text: \"cyclone\" is an event trigger word, which triggers an event of type \"Catastrophe\". To sum up, [Answer]: cyclone: Catastrophe;", "role": "assistant" } ]
31031
[ { "content": "Extract the key entities mentioned in \"<text>\" and provide the possible interpretations of their roles in the given context. Mention [\"Catastrophe: such as storm, hurricane, floods, Hurricane, cyclone.\", \"Collaboration: such as Confederate, coalition, joint, associated.\", \"Robbery: such as looting, robbery, looted.\", \"Motion: such as moved, fell, waiting, Moving, coming.\", \"Giving: such as hand, granted, coined, providing, allowed.\", \"Arrest: such as arrested, arrest, incarceration.\", \"Dispersal: such as dissipated, dissolving, dissipating, spread.\", \"Process_end: such as stopped, ceased, end, ending.\", \"Forming_relationships: such as consisted, marriage, separation, married, engagement.\", \"Resolve_problem: such as addressed, settled, fix, settle, settling.\", \"Extradition: such as extradited, indict, deported, extradition.\", \"Reporting: such as report, reports, reported.\", \"Lighting: such as thunder, Flaming, thunderstorms, light, lighting.\", \"Expend_resource\", \"Incident: such as timing, random, incident, accident.\", \"Name_conferral: such as called, renamed, refer, named.\"] to describe the role.Please give the analysis first. Please give the answer in the form \"[Answer]: {event}: {class}; \".\nText: 'Over the following days, the cyclone showed signs of restrengthening and executed an elongated cyclonic loop to the southeast of Papua New Guinea.'", "role": "user" }, { "content": "[Explanation]: According to the provided event type and text, \"cyclone\" serves as an event trigger word, instigating an event classified under \"catastrophe\". \"cyclone\" serves as an event trigger word, instigating an event classified under \"catastrophe\". \"showed\" serves as an event trigger word, instigating an event classified under \"motion\". \"executed\" serves as an event trigger word, instigating an event classified under \"process-end\". In conclusion, [Answer]: cyclone: Catastrophe; cyclone: Catastrophe; showed: Motion; executed: Process-end;", "role": "assistant" } ]
[ { "content": "Can you find any incidents mentioned in the given text?\n<text>\n\nIf you do, describe the nature of the incident(s) and any causative factors, if any.\n\n[\"Emptying: such as cleared, disbanding, ventilated.\", \"Education_teaching: such as instructions, teaching, learn, studied, training.\", \"Control: such as occupied, managed, command, controlled, dominating.\", \"Breathing\", \"Committing_crime: such as rape, murder, conspiracy, perpetrated, sexually assaulted.\", \"Process_start\", \"Reveal_secret: such as confessed, outlined, revealed, admitting.\", \"Arrest: such as captured, arrested, cooped, arrests, detained.\", \"Change_sentiment: such as felt, shied, experiencing, viewed, immerse.\", \"Becoming: such as become, became, becoming.\", \"Statement: such as indicated, alleged, admitted, treaty, proclaimed.\", \"Process_end: such as end, completed, close, ended.\", \"Robbery: such as looting, loot, pillaged, looted, robbery.\", \"Expressing_publicly: such as issued, discussed, declared.\", \"Reforming_a_system\", \"Deciding: such as determining, decision, decided.\", \"Bringing: such as bringing, brings, brought.\"]Please give the answer in the form \"[Answer]: {event}: {class}; \".\nText: 'In July 1940, the \"Luftwaffe\" started by closing the English Channel to merchant shipping.'", "role": "user" }, { "content": "[Answer]: started: process_start; closing: process_end;", "role": "assistant" } ]
maven-ed
[ { "content": "Can you find any incidents mentioned in the given text?\n<text>\n\nIf you do, describe the nature of the incident(s) and any causative factors, if any.\n\n[\"Emptying: such as cleared, disbanding, ventilated.\", \"Education_teaching: such as instructions, teaching, learn, studied, training.\", \"Control: such as occupied, managed, command, controlled, dominating.\", \"Breathing\", \"Committing_crime: such as rape, murder, conspiracy, perpetrated, sexually assaulted.\", \"Process_start\", \"Reveal_secret: such as confessed, outlined, revealed, admitting.\", \"Arrest: such as captured, arrested, cooped, arrests, detained.\", \"Change_sentiment: such as felt, shied, experiencing, viewed, immerse.\", \"Becoming: such as become, became, becoming.\", \"Statement: such as indicated, alleged, admitted, treaty, proclaimed.\", \"Process_end: such as end, completed, close, ended.\", \"Robbery: such as looting, loot, pillaged, looted, robbery.\", \"Expressing_publicly: such as issued, discussed, declared.\", \"Reforming_a_system\", \"Deciding: such as determining, decision, decided.\", \"Bringing: such as bringing, brings, brought.\"]Please give the answer in the form \"[Answer]: {event}: {class}; \".\nText: 'In July 1940, the \"Luftwaffe\" started by closing the English Channel to merchant shipping.'", "role": "user" }, { "content": "[Answer]: started: Process_start; closing: Process_end;", "role": "assistant" } ]
19047
[ { "content": "Can you find any incidents mentioned in the given text?\n<text>\n\nIf you do, describe the nature of the incident(s) and any causative factors, if any.\n\n[\"Emptying: such as cleared, disbanding, ventilated.\", \"Education_teaching: such as instructions, teaching, learn, studied, training.\", \"Control: such as occupied, managed, command, controlled, dominating.\", \"Breathing\", \"Committing_crime: such as rape, murder, conspiracy, perpetrated, sexually assaulted.\", \"Process_start\", \"Reveal_secret: such as confessed, outlined, revealed, admitting.\", \"Arrest: such as captured, arrested, cooped, arrests, detained.\", \"Change_sentiment: such as felt, shied, experiencing, viewed, immerse.\", \"Becoming: such as become, became, becoming.\", \"Statement: such as indicated, alleged, admitted, treaty, proclaimed.\", \"Process_end: such as end, completed, close, ended.\", \"Robbery: such as looting, loot, pillaged, looted, robbery.\", \"Expressing_publicly: such as issued, discussed, declared.\", \"Reforming_a_system\", \"Deciding: such as determining, decision, decided.\", \"Bringing: such as bringing, brings, brought.\"]Please give the answer in the form \"[Answer]: {event}: {class}; \".\nText: 'In July 1940, the \"Luftwaffe\" started by closing the English Channel to merchant shipping.'", "role": "user" }, { "content": "[Answer]: started: process_start;", "role": "assistant" } ]
[ { "content": "Identify the named entities, if any, present in the following text: Text: 'Malcolm Marshall ( West Indies ) 376 , 81 '. Categorize each entity into one of the following options: [\"Miscellaneous: such as Spaniard, Open, GMT, Nicaraguan, Iranian.\", \"Location: such as Germany, Zadar, U.S., India, MANCHESTER.\", \"Person: such as Wisinga, Brian Homewood, Clinton, DALGLISH, Lotte.\", \"Organization: such as St Louis, MONTREAL, Essendon, Ford, Tel Aviv.\"]. If no entities are found, indicate that with the output 'None found'.Please give the step-by-step analysis first. Please give the answer in the form \"[Answer]: {entity}: {type}; \".", "role": "user" }, { "content": "[Step-by-Step Explanation]: 1. Identify \"Malcolm Marshall\" in the text: This name refers to an individual, hence it is categorized under \"Person\". The reason for this classification is that names of people fall under the \"Person\" category as per the options provided.\n2. Identify \"West Indies\" in the text: This refers to a geographical location, therefore it is categorized under \"Location\". The reason for this classification is that names of places or regions are categorized as \"Location\" according to the options given. [Answer]: Malcolm Marshall: Person; West Indies: Location;", "role": "assistant" } ]
conll-2003
[ { "content": "Identify the named entities, if any, present in the following text: Text: 'Malcolm Marshall ( West Indies ) 376 , 81 '. Categorize each entity into one of the following options: [\"Miscellaneous: such as Spaniard, Open, GMT, Nicaraguan, Iranian.\", \"Location: such as Germany, Zadar, U.S., India, MANCHESTER.\", \"Person: such as Wisinga, Brian Homewood, Clinton, DALGLISH, Lotte.\", \"Organization: such as St Louis, MONTREAL, Essendon, Ford, Tel Aviv.\"]. If no entities are found, indicate that with the output 'None found'.Please give the step-by-step analysis first. Please give the answer in the form \"[Answer]: {entity}: {type}; \".", "role": "user" }, { "content": "[Step-by-Step Explanation]: 1. Identify \"Malcolm Marshall\" in the text: This name refers to an individual, hence it is categorized under \"Person\". The reason for this classification is that names of people fall under the \"Person\" category as per the options provided.\n2. Identify \"West Indies\" in the text: This refers to a geographical location, therefore it is categorized under \"Location\". The reason for this classification is that names of places or regions are categorized as \"Location\" according to the options given. [Answer]: Malcolm Marshall: Person; West Indies: Location;", "role": "assistant" } ]
6380
[ { "content": "Identify the named entities, if any, present in the following text: Text: 'Malcolm Marshall ( West Indies ) 376 , 81 '. Categorize each entity into one of the following options: [\"Miscellaneous: such as Spaniard, Open, GMT, Nicaraguan, Iranian.\", \"Location: such as Germany, Zadar, U.S., India, MANCHESTER.\", \"Person: such as Wisinga, Brian Homewood, Clinton, DALGLISH, Lotte.\", \"Organization: such as St Louis, MONTREAL, Essendon, Ford, Tel Aviv.\"]. If no entities are found, indicate that with the output 'None found'.Please give the step-by-step analysis first. Please give the answer in the form \"[Answer]: {entity}: {type}; \".", "role": "user" }, { "content": "[Step-by-Step Explanation]: 1. To identify named entities, we first read the given text: 'Malcolm Marshall ( West Indies ) 376 , 81 '.\n2. Upon examining the first part, 'Malcolm Marshall', we categorize it as 'Person' because it refers to a real individual's name.\n3. Upon examining the second part, 'West Indies', we realize it does not fit into any of the given categories such as 'Location', 'Miscellaneous', or 'Organization'. Hence, it is labeled as 'Miscellaneous'.\n4. Therefore, [Answer]: Malcolm Marshall: Person; West Indies: Miscellaneous;", "role": "assistant" } ]
[ { "content": "Please analyze the text below and extract the main theme that it conveys. Use [\"injurer: such as mother, Ukrainian fighter, Jihadists, sexual assaults, U.S. mil.\", \"instrument: such as equipment, A large explosion, murder , starvation , suffocation, strikes, airstrikes and shelling.\", \"place: such as country, Syria, Aleppo, this audience.\", \"victim: such as 23 people, Clinton, people, civilian, Igor Plotnitsky.\"] to describe the event. If no theme can be derived, please provide ``NA`` as the output.\nText: 'Yet yellow fever is a grave illness , incurable once contracted . It kills 80,000 Africans a year . And that is a scandal , both because it can be prevented by a single inoculation and also because yellow <event> fever </event>now risks spreading to Asia , where it has never before taken hold . This is the background to the latest epidemic of the disease , in Angola . Since December , around 2,300 suspected cases have been reported there , with nearly 300 deaths .'.Please give the answer in the form \"[Answer]: {word}: {role}; \".", "role": "user" }, { "content": "[Answer]: Asia: place;", "role": "assistant" } ]
RAMS-eae
[ { "content": "Please analyze the text below and extract the main theme that it conveys. Use [\"injurer: such as mother, Ukrainian fighter, Jihadists, sexual assaults, U.S. mil.\", \"instrument: such as equipment, A large explosion, murder , starvation , suffocation, strikes, airstrikes and shelling.\", \"place: such as country, Syria, Aleppo, this audience.\", \"victim: such as 23 people, Clinton, people, civilian, Igor Plotnitsky.\"] to describe the event. If no theme can be derived, please provide ``NA`` as the output.\nText: 'Yet yellow fever is a grave illness , incurable once contracted . It kills 80,000 Africans a year . And that is a scandal , both because it can be prevented by a single inoculation and also because yellow <event> fever </event>now risks spreading to Asia , where it has never before taken hold . This is the background to the latest epidemic of the disease , in Angola . Since December , around 2,300 suspected cases have been reported there , with nearly 300 deaths .'.Please give the answer in the form \"[Answer]: {word}: {role}; \".", "role": "user" }, { "content": "[Answer]: Asia: victim;", "role": "assistant" } ]
4462
[ { "content": "Please analyze the text below and extract the main theme that it conveys. Use [\"injurer: such as mother, Ukrainian fighter, Jihadists, sexual assaults, U.S. mil.\", \"instrument: such as equipment, A large explosion, murder , starvation , suffocation, strikes, airstrikes and shelling.\", \"place: such as country, Syria, Aleppo, this audience.\", \"victim: such as 23 people, Clinton, people, civilian, Igor Plotnitsky.\"] to describe the event. If no theme can be derived, please provide ``NA`` as the output.\nText: 'Yet yellow fever is a grave illness , incurable once contracted . It kills 80,000 Africans a year . And that is a scandal , both because it can be prevented by a single inoculation and also because yellow <event> fever </event>now risks spreading to Asia , where it has never before taken hold . This is the background to the latest epidemic of the disease , in Angola . Since December , around 2,300 suspected cases have been reported there , with nearly 300 deaths .'.Please give the answer in the form \"[Answer]: {word}: {role}; \".", "role": "user" }, { "content": "[Answer]: Africans: victim; yellow fever: injurer; Angola: place;", "role": "assistant" } ]
[ { "content": "Analyze the sentence \"<text>\" and recognize distinct categories [\"Date: Absolute or relative dates or periods. For example, two years ago, today, daily, August, the late 1990s.\", \"NORP: Nationalities or religious or political groups. For example, Palestinian, Saudi, Japanese, French.\", \"Quantity: Such as four, 20, 15,417, 60 feet, 45 - acre.\", \"Product: Objects, vehicles, foods, etc. (Not services). For example, Mir, Air Force One, Coors Rocky Mountain Sparkling Water, Wheel Of Fortune, 747.\", \"Organization: Companies, agencies, institutions, etc. For example, American Telephone & Telegraph Co., Olivetti, B.A.T Industries, Senate, Tele - Communications.\", \"Facility: Such as New Trier High School, White House, Bay Bridge, the Art Alliance, the Bay Bridge.\", \"Cardinal: two, one, three, One, four, five, six, seven, Two, half. For example, one, Seven, 800, More than a thousand, thirty thousand.\", \"GPE: Countries, cities, states. For example, Macau, Taipei, Singapore, Atlanta, Egypt.\", \"Percentage: Percentage, including ”%“. For example, 8.7 %, 8.42 %, 55 %, 8 3/4 %, 11.6.\", \"Event: Named hurricanes, battles, wars, sports events, etc. For example, the War of Resistance, Black Monday, this NATO summit, Hugo, Hurricane Hugo.\"]. If there are no entities in the text that match the given entity category set, answer \"None\"Make analysis according to the sentence and give the answer. Please give the answer in the form \"[Answer]: {entity}: {type}; \".\n\nText: 'Those are three planes hit today .'", "role": "user" }, { "content": "[Explanation]: Based on the given predefined entity type and text: \"three\" represents the \"Cardinal\". \"today\" represents the \"Date\". To sum up, [Answer]: three: Cardinal; today: Date;", "role": "assistant" }, { "content": "Text: 'Regarding the investment in the Bank of China , Prince Al - Waleed said that the company had applied to invest as a representative of the Arab world and the Middle East , based on a request made by the Chinese authorities .'", "role": "user" }, { "content": "[Explanation]: Based on the given predefined entity type and text: \"the Bank of China\" represents the \"Organization\". \"Arab\" represents the \"NORP\". \"Chinese\" represents the \"NORP\". To sum up, [Answer]: the Bank of China: Organization; Arab: NORP; Chinese: NORP;", "role": "assistant" }, { "content": "Text: 'Last year 's figure was down from 13.4 % in 1987 and marked the fifth consecutive annual decline in the poverty rate .'", "role": "user" }, { "content": "[Explanation]: According to the given entity type and text, \"Last year 's\" is identified as the \"Date\". \"13.4 %\" is identified as the \"Percentage\". \"1987\" is identified as the \"Date\". \"annual\" is identified as the \"Date\". In brief, [Answer]: Last year 's: Date; 13.4 %: Percentage; 1987: Date; annual: Date;", "role": "assistant" }, { "content": "Text: 'So far this year , rising demand for OPEC oil and production restraint by some members have kept prices firm despite rampant cheating by others .'", "role": "user" }, { "content": "[Explanation]: Based on the given predefined entity type and text: \"this year\" represents the \"Date\". \"OPEC\" represents the \"Organization\". To sum up, [Answer]: this year: Date; OPEC: Organization;", "role": "assistant" }, { "content": "Text: 'The sales recovery screeched to a halt this month , some analysts say .'", "role": "user" }, { "content": "[Explanation]: In accordance with the specified entity type and text, \"this month\" is recognized as the \"Date\". To recap, [Answer]: this month: Date;", "role": "assistant" }, { "content": "Text: 'The United States is requesting more co-operation from Yemen in the investigation of the terrorist attack on the USS Cole that killed 17 US sailors .'", "role": "user" }, { "content": "[Explanation]: Based on the predefined entity type and text, \"United States\" is acknowledged as the \"GPE\" category. \"Yemen\" is acknowledged as the \"GPE\" category. \"USS Cole\" is acknowledged as the \"Facility\" category. \"17\" is acknowledged as the \"Cardinal\" category. \"US\" is acknowledged as the \"GPE\" category. To summarize, [Answer]: United States: GPE; Yemen: GPE; USS Cole: Facility; 17: Cardinal; US: GPE;", "role": "assistant" } ]
ontonote5
[ { "content": "Analyze the sentence \"<text>\" and recognize distinct categories [\"Date: Absolute or relative dates or periods. For example, two years ago, today, daily, August, the late 1990s.\", \"NORP: Nationalities or religious or political groups. For example, Palestinian, Saudi, Japanese, French.\", \"Quantity: Such as four, 20, 15,417, 60 feet, 45 - acre.\", \"Product: Objects, vehicles, foods, etc. (Not services). For example, Mir, Air Force One, Coors Rocky Mountain Sparkling Water, Wheel Of Fortune, 747.\", \"Organization: Companies, agencies, institutions, etc. For example, American Telephone & Telegraph Co., Olivetti, B.A.T Industries, Senate, Tele - Communications.\", \"Facility: Such as New Trier High School, White House, Bay Bridge, the Art Alliance, the Bay Bridge.\", \"Cardinal: two, one, three, One, four, five, six, seven, Two, half. For example, one, Seven, 800, More than a thousand, thirty thousand.\", \"GPE: Countries, cities, states. For example, Macau, Taipei, Singapore, Atlanta, Egypt.\", \"Percentage: Percentage, including ”%“. For example, 8.7 %, 8.42 %, 55 %, 8 3/4 %, 11.6.\", \"Event: Named hurricanes, battles, wars, sports events, etc. For example, the War of Resistance, Black Monday, this NATO summit, Hugo, Hurricane Hugo.\"]. If there are no entities in the text that match the given entity category set, answer \"None\"Make analysis according to the sentence and give the answer. Please give the answer in the form \"[Answer]: {entity}: {type}; \".\n\nText: 'Those are three planes hit today .'", "role": "user" }, { "content": "[Explanation]: Based on the given predefined entity type and text: \"three\" represents the \"Cardinal\". \"today\" represents the \"Date\". To sum up, [Answer]: three: Cardinal; today: Date;", "role": "assistant" }, { "content": "Text: 'Regarding the investment in the Bank of China , Prince Al - Waleed said that the company had applied to invest as a representative of the Arab world and the Middle East , based on a request made by the Chinese authorities .'", "role": "user" }, { "content": "[Explanation]: Based on the given predefined entity type and text: \"the Bank of China\" represents the \"Organization\". \"Arab\" represents the \"NORP\". \"Chinese\" represents the \"NORP\". To sum up, [Answer]: the Bank of China: Organization; Arab: NORP; Chinese: NORP;", "role": "assistant" }, { "content": "Text: 'Last year 's figure was down from 13.4 % in 1987 and marked the fifth consecutive annual decline in the poverty rate .'", "role": "user" }, { "content": "[Explanation]: According to the given entity type and text, \"Last year 's\" is identified as the \"Date\". \"13.4 %\" is identified as the \"Percentage\". \"1987\" is identified as the \"Date\". \"annual\" is identified as the \"Date\". In brief, [Answer]: Last year 's: Date; 13.4 %: Percentage; 1987: Date; annual: Date;", "role": "assistant" }, { "content": "Text: 'So far this year , rising demand for OPEC oil and production restraint by some members have kept prices firm despite rampant cheating by others .'", "role": "user" }, { "content": "[Explanation]: Based on the given predefined entity type and text: \"this year\" represents the \"Date\". \"OPEC\" represents the \"Organization\". To sum up, [Answer]: this year: Date; OPEC: Organization;", "role": "assistant" }, { "content": "Text: 'The sales recovery screeched to a halt this month , some analysts say .'", "role": "user" }, { "content": "[Explanation]: In accordance with the specified entity type and text, \"this month\" is recognized as the \"Date\". To recap, [Answer]: this month: Date;", "role": "assistant" }, { "content": "Text: 'The United States is requesting more co-operation from Yemen in the investigation of the terrorist attack on the USS Cole that killed 17 US sailors .'", "role": "user" }, { "content": "[Explanation]: The sentence provided mentions several entities that fit into distinct categories. \"The United States\" and \"Yemen\" are recognized as \"GPE\" (Geopolitical Entities), indicating countries. \"The USS Cole\" is categorized under \"Product,\" as it refers to a specific naval vessel, thus fitting the criteria for objects or vehicles. The number \"17\" falls under the \"Cardinal\" category, representing a count of individuals. Lastly, \"US\" is again identified as a \"GPE,\" denoting the country, the United States. These categorizations help in understanding the entities involved in the context of the sentence. [Answer]: The United States: GPE; Yemen: GPE; the USS Cole: Product; 17: Cardinal; US: GPE;", "role": "assistant" } ]
21533
[ { "content": "Analyze the sentence \"<text>\" and recognize distinct categories [\"Date: Absolute or relative dates or periods. For example, two years ago, today, daily, August, the late 1990s.\", \"NORP: Nationalities or religious or political groups. For example, Palestinian, Saudi, Japanese, French.\", \"Quantity: Such as four, 20, 15,417, 60 feet, 45 - acre.\", \"Product: Objects, vehicles, foods, etc. (Not services). For example, Mir, Air Force One, Coors Rocky Mountain Sparkling Water, Wheel Of Fortune, 747.\", \"Organization: Companies, agencies, institutions, etc. For example, American Telephone & Telegraph Co., Olivetti, B.A.T Industries, Senate, Tele - Communications.\", \"Facility: Such as New Trier High School, White House, Bay Bridge, the Art Alliance, the Bay Bridge.\", \"Cardinal: two, one, three, One, four, five, six, seven, Two, half. For example, one, Seven, 800, More than a thousand, thirty thousand.\", \"GPE: Countries, cities, states. For example, Macau, Taipei, Singapore, Atlanta, Egypt.\", \"Percentage: Percentage, including ”%“. For example, 8.7 %, 8.42 %, 55 %, 8 3/4 %, 11.6.\", \"Event: Named hurricanes, battles, wars, sports events, etc. For example, the War of Resistance, Black Monday, this NATO summit, Hugo, Hurricane Hugo.\"]. If there are no entities in the text that match the given entity category set, answer \"None\"Make analysis according to the sentence and give the answer. Please give the answer in the form \"[Answer]: {entity}: {type}; \".\n\nText: 'Those are three planes hit today .'", "role": "user" }, { "content": "[Explanation]: Based on the given predefined entity type and text: \"three\" represents the \"Cardinal\". \"today\" represents the \"Date\". To sum up, [Answer]: three: Cardinal; today: Date;", "role": "assistant" }, { "content": "Text: 'Regarding the investment in the Bank of China , Prince Al - Waleed said that the company had applied to invest as a representative of the Arab world and the Middle East , based on a request made by the Chinese authorities .'", "role": "user" }, { "content": "[Explanation]: Based on the given predefined entity type and text: \"the Bank of China\" represents the \"Organization\". \"Arab\" represents the \"NORP\". \"Chinese\" represents the \"NORP\". To sum up, [Answer]: the Bank of China: Organization; Arab: NORP; Chinese: NORP;", "role": "assistant" }, { "content": "Text: 'Last year 's figure was down from 13.4 % in 1987 and marked the fifth consecutive annual decline in the poverty rate .'", "role": "user" }, { "content": "[Explanation]: According to the given entity type and text, \"Last year 's\" is identified as the \"Date\". \"13.4 %\" is identified as the \"Percentage\". \"1987\" is identified as the \"Date\". \"annual\" is identified as the \"Date\". In brief, [Answer]: Last year 's: Date; 13.4 %: Percentage; 1987: Date; annual: Date;", "role": "assistant" }, { "content": "Text: 'So far this year , rising demand for OPEC oil and production restraint by some members have kept prices firm despite rampant cheating by others .'", "role": "user" }, { "content": "[Explanation]: Based on the given predefined entity type and text: \"this year\" represents the \"Date\". \"OPEC\" represents the \"Organization\". To sum up, [Answer]: this year: Date; OPEC: Organization;", "role": "assistant" }, { "content": "Text: 'The sales recovery screeched to a halt this month , some analysts say .'", "role": "user" }, { "content": "[Explanation]: In accordance with the specified entity type and text, \"this month\" is recognized as the \"Date\". To recap, [Answer]: this month: Date;", "role": "assistant" }, { "content": "Text: 'The United States is requesting more co-operation from Yemen in the investigation of the terrorist attack on the USS Cole that killed 17 US sailors .'", "role": "user" }, { "content": "[Explanation]: Given the provided predefined entity type and text, \"The United States\" is identified as the \"GPE\" entity. \"Yemen\" is identified as the \"GPE\" entity. \"17\" is identified as the \"Cardinal\" entity. In summary, [Answer]: The United States: GPE; Yemen: GPE; 17: Cardinal;", "role": "assistant" } ]
[ { "content": "Please extract and classify the named entities present in the given text: Text: 'Banda , a vegetarian teetotaller believed to be 97 , walked unaided but supporting himself on a walking stick . '. The categories of entities are: [Location, Miscellaneous, Person, Organization]. If there are no entities in the text, please output 'No entities found'.Make analysis according to the sentence and give the answer. Please give the answer in the form \"[Answer]: {entity}: {type}; \".", "role": "user" }, { "content": "[Explanation]: The text mentions \"Banda,\" which is identified as a named entity and classified under the category \"Person\" because it refers to an individual, specifically a person's name. This classification is based on the context provided in the text, where \"Banda\" is used as a proper noun referring to an individual. [Answer]: Banda: Person;", "role": "assistant" } ]
conll-2003
[ { "content": "Please extract and classify the named entities present in the given text: Text: 'Banda , a vegetarian teetotaller believed to be 97 , walked unaided but supporting himself on a walking stick . '. The categories of entities are: [Location, Miscellaneous, Person, Organization]. If there are no entities in the text, please output 'No entities found'.Make analysis according to the sentence and give the answer. Please give the answer in the form \"[Answer]: {entity}: {type}; \".", "role": "user" }, { "content": "[Explanation]: The text mentions \"Banda\" as a named entity, which is classified under the category \"Person\" because it refers to an individual. The classification is based on the context provided in the text, where \"Banda\" is described as a person with specific characteristics (a vegetarian teetotaller believed to be 97, who walked unaided but supported himself on a walking stick). No other named entities falling under the specified categories (Location, Miscellaneous, Organization) are mentioned in the given text. [Answer]: Banda: Person;", "role": "assistant" } ]
4186
[ { "content": "Please extract and classify the named entities present in the given text: Text: 'Banda , a vegetarian teetotaller believed to be 97 , walked unaided but supporting himself on a walking stick . '. The categories of entities are: [Location, Miscellaneous, Person, Organization]. If there are no entities in the text, please output 'No entities found'.Make analysis according to the sentence and give the answer. Please give the answer in the form \"[Answer]: {entity}: {type}; \".", "role": "user" }, { "content": "[Explanation]: No named entities were recognized in the text.[Answer]: NA", "role": "assistant" } ]
[ { "content": "Is there are any entities in the following sentence?\n\n<text>\n\nIf any, extract and classify them into the category: [Ordinal, Percentage, Money, Person, Organization, GPE, Product, Time, Language, Cardinal, NORP, Quantity, Date, Location]\n\nPlease give the analysis first. Please give the answer in the form \"[Answer]: {entity}: {type}; \".\n\nText: 'Japanese government bonds showed little change .'", "role": "user" }, { "content": "[Explanation]: According to the given entity type and text, \"Japanese\" is identified as the \"NORP\". In brief, [Answer]: Japanese: NORP;", "role": "assistant" }, { "content": "Text: 'If you ask the shopkeepers in the main streets or back alleys , they will tell you that the favorite figure of the moment is the Maneki Neko , or Japanese \" beckoning cat , \" whose Chinese name is literally \" wealth - attracting cat \" -LRB- -LRB-c-RRB-?Ìö]o? -RRB- .'", "role": "user" }, { "content": "[Explanation]: According to the given entity type and text, \"Japanese\" is identified as the \"NORP\". \"Chinese\" is identified as the \"NORP\". In brief, [Answer]: Japanese: NORP; Chinese: NORP;", "role": "assistant" }, { "content": "Text: 'Marreiros emphasizes that in addition to Chinese and Portuguese influences , Macau also has its own unique blend of culture - Macaense , which is exhibited in \" local Portuguese \" of mixed ancestry such as himself .'", "role": "user" }, { "content": "[Explanation]: According to the given entity type and text, \"Chinese\" is identified as the \"NORP\". \"Portuguese\" is identified as the \"NORP\". \"Macau\" is identified as the \"GPE\". \"Macaense\" is identified as the \"NORP\". \"Portuguese\" is identified as the \"NORP\". In brief, [Answer]: Chinese: NORP; Portuguese: NORP; Macau: GPE; Macaense: NORP; Portuguese: NORP;", "role": "assistant" }, { "content": "Text: 'The Securities and Exchange Commission gave provisional six - month approval to the Big Board basket at a meeting late yesterday .'", "role": "user" }, { "content": "[Explanation]: Based on the given predefined entity type and text: \"The Securities and Exchange Commission\" represents the \"Organization\". \"six - month\" represents the \"Date\". \"Big Board\" represents the \"Organization\". \"late yesterday\" represents the \"Date\". To sum up, [Answer]: The Securities and Exchange Commission: Organization; six - month: Date; Big Board: Organization; late yesterday: Date;", "role": "assistant" }, { "content": "Text: 'But it has left holders of SCI TV 's junk bonds holding the bag , including some heavyweights that KKR might need to finance future deals , such as Kemper Financial Services , First Executive , Columbia Savings & Loan and Prudential Insurance Co. of America .'", "role": "user" }, { "content": "[Explanation]: According to the given entity type and text, \"SCI TV 's\" is identified as the \"Organization\". \"KKR\" is identified as the \"Organization\". \"Kemper Financial Services\" is identified as the \"Organization\". \"First Executive\" is identified as the \"Organization\". \"Columbia Savings & Loan\" is identified as the \"Organization\". \"Prudential Insurance Co. of America\" is identified as the \"Organization\". In brief, [Answer]: SCI TV 's: Organization; KKR: Organization; Kemper Financial Services: Organization; First Executive: Organization; Columbia Savings & Loan: Organization; Prudential Insurance Co. of America: Organization;", "role": "assistant" }, { "content": "Text: 'Gov. George Deukmejian and key legislators agreed to back a temporary one - quarter - cent increase in the state sales tax to raise $ 800 million for repairs and relief associated with last month 's earthquake .'", "role": "user" }, { "content": "[Explanation]: In accordance with the specified entity type and text, \"George Deukmejian\" is recognized as the \"Person\". \"one - quarter - cent\" is recognized as the \"Money\". \"$ 800 million\" is recognized as the \"Money\". \"last month 's\" is recognized as the \"Date\". To recap, [Answer]: George Deukmejian: Person; one - quarter - cent: Money; $ 800 million: Money; last month 's: Date;", "role": "assistant" }, { "content": "Text: 'Tandem , which already specializes in on - line transaction processing , is a potent competitor in that market .'", "role": "user" }, { "content": "[Explanation]: Given the provided predefined entity type and text, \"Tandem\" is identified as the \"Organization\" entity. In summary, [Answer]: Tandem: Organization;", "role": "assistant" }, { "content": "Text: 'In direct cash assistance , $ 1 billion is provided in federal highway construction funds , and $ 1.35 billion is divided between general emergency aid and a reserve to be available to the president to meet unanticipated costs from the two disasters .'", "role": "user" }, { "content": "[Explanation]: According to the given entity type and text, \"$ 1 billion\" is identified as the \"Money\". \"$ 1.35 billion\" is identified as the \"Money\". In brief, [Answer]: $ 1 billion: Money; $ 1.35 billion: Money;", "role": "assistant" }, { "content": "Text: 'The following cases , currently under investigation , have attracted particular attention : the alleged involvement of Linkou mayor Tsai Tzung - yi , Yingko Township chief Hsu Yuan - ho and Linkou council deputy chairman Chou Yeh - feng in the operation of an illegal waste dump at a disused brickyard ; alleged fraud by Nantou County commissioner Peng Pai - hsien in connection with construction projects ; allegations of corruption against Hsinchu mayor Tsai Jen - chien ; and the suspected embezzlement of post-921 earthquake relief funds by Hsinchu municipal council speaker Cheng Cheng - kuang .'", "role": "user" }, { "content": "[Explanation]: The sentence contains several entities classified into two categories: \"Person\" and \"GPE\" (Geopolitical Entity). \"Tsai Tzung - yi,\" \"Hsu Yuan - ho,\" \"Chou Yeh - feng,\" \"Peng Pai - hsien,\" \"Tsai Jen - chien,\" and \"Cheng Cheng - kuang\" are classified as \"Person\" because they refer to individuals. \"Linkou,\" \"Yingko Township,\" \"Nantou County,\" and \"Hsinchu\" are classified as \"GPE\" because they refer to specific geographic or political regions. These entities are extracted based on their relevance to the context of alleged illegal activities and positions of authority. [Answer]: Linkou: GPE; Tsai Tzung - yi: Person; Yingko Township: GPE; Hsu Yuan - ho: Person; Linkou: GPE; Chou Yeh - feng: Person; Nantou County: GPE; Peng Pai - hsien: Person; Hsinchu: GPE; Tsai Jen - chien: Person; Hsinchu: GPE; Cheng Cheng - kuang: Person;", "role": "assistant" } ]
ontonote5
[ { "content": "Is there are any entities in the following sentence?\n\n<text>\n\nIf any, extract and classify them into the category: [Ordinal, Percentage, Money, Person, Organization, GPE, Product, Time, Language, Cardinal, NORP, Quantity, Date, Location]\n\nPlease give the analysis first. Please give the answer in the form \"[Answer]: {entity}: {type}; \".\n\nText: 'Japanese government bonds showed little change .'", "role": "user" }, { "content": "[Explanation]: According to the given entity type and text, \"Japanese\" is identified as the \"NORP\". In brief, [Answer]: Japanese: NORP;", "role": "assistant" }, { "content": "Text: 'If you ask the shopkeepers in the main streets or back alleys , they will tell you that the favorite figure of the moment is the Maneki Neko , or Japanese \" beckoning cat , \" whose Chinese name is literally \" wealth - attracting cat \" -LRB- -LRB-c-RRB-?Ìö]o? -RRB- .'", "role": "user" }, { "content": "[Explanation]: According to the given entity type and text, \"Japanese\" is identified as the \"NORP\". \"Chinese\" is identified as the \"NORP\". In brief, [Answer]: Japanese: NORP; Chinese: NORP;", "role": "assistant" }, { "content": "Text: 'Marreiros emphasizes that in addition to Chinese and Portuguese influences , Macau also has its own unique blend of culture - Macaense , which is exhibited in \" local Portuguese \" of mixed ancestry such as himself .'", "role": "user" }, { "content": "[Explanation]: According to the given entity type and text, \"Chinese\" is identified as the \"NORP\". \"Portuguese\" is identified as the \"NORP\". \"Macau\" is identified as the \"GPE\". \"Macaense\" is identified as the \"NORP\". \"Portuguese\" is identified as the \"NORP\". In brief, [Answer]: Chinese: NORP; Portuguese: NORP; Macau: GPE; Macaense: NORP; Portuguese: NORP;", "role": "assistant" }, { "content": "Text: 'The Securities and Exchange Commission gave provisional six - month approval to the Big Board basket at a meeting late yesterday .'", "role": "user" }, { "content": "[Explanation]: Based on the given predefined entity type and text: \"The Securities and Exchange Commission\" represents the \"Organization\". \"six - month\" represents the \"Date\". \"Big Board\" represents the \"Organization\". \"late yesterday\" represents the \"Date\". To sum up, [Answer]: The Securities and Exchange Commission: Organization; six - month: Date; Big Board: Organization; late yesterday: Date;", "role": "assistant" }, { "content": "Text: 'But it has left holders of SCI TV 's junk bonds holding the bag , including some heavyweights that KKR might need to finance future deals , such as Kemper Financial Services , First Executive , Columbia Savings & Loan and Prudential Insurance Co. of America .'", "role": "user" }, { "content": "[Explanation]: According to the given entity type and text, \"SCI TV 's\" is identified as the \"Organization\". \"KKR\" is identified as the \"Organization\". \"Kemper Financial Services\" is identified as the \"Organization\". \"First Executive\" is identified as the \"Organization\". \"Columbia Savings & Loan\" is identified as the \"Organization\". \"Prudential Insurance Co. of America\" is identified as the \"Organization\". In brief, [Answer]: SCI TV 's: Organization; KKR: Organization; Kemper Financial Services: Organization; First Executive: Organization; Columbia Savings & Loan: Organization; Prudential Insurance Co. of America: Organization;", "role": "assistant" }, { "content": "Text: 'Gov. George Deukmejian and key legislators agreed to back a temporary one - quarter - cent increase in the state sales tax to raise $ 800 million for repairs and relief associated with last month 's earthquake .'", "role": "user" }, { "content": "[Explanation]: In accordance with the specified entity type and text, \"George Deukmejian\" is recognized as the \"Person\". \"one - quarter - cent\" is recognized as the \"Money\". \"$ 800 million\" is recognized as the \"Money\". \"last month 's\" is recognized as the \"Date\". To recap, [Answer]: George Deukmejian: Person; one - quarter - cent: Money; $ 800 million: Money; last month 's: Date;", "role": "assistant" }, { "content": "Text: 'Tandem , which already specializes in on - line transaction processing , is a potent competitor in that market .'", "role": "user" }, { "content": "[Explanation]: Given the provided predefined entity type and text, \"Tandem\" is identified as the \"Organization\" entity. In summary, [Answer]: Tandem: Organization;", "role": "assistant" }, { "content": "Text: 'In direct cash assistance , $ 1 billion is provided in federal highway construction funds , and $ 1.35 billion is divided between general emergency aid and a reserve to be available to the president to meet unanticipated costs from the two disasters .'", "role": "user" }, { "content": "[Explanation]: According to the given entity type and text, \"$ 1 billion\" is identified as the \"Money\". \"$ 1.35 billion\" is identified as the \"Money\". In brief, [Answer]: $ 1 billion: Money; $ 1.35 billion: Money;", "role": "assistant" }, { "content": "Text: 'The following cases , currently under investigation , have attracted particular attention : the alleged involvement of Linkou mayor Tsai Tzung - yi , Yingko Township chief Hsu Yuan - ho and Linkou council deputy chairman Chou Yeh - feng in the operation of an illegal waste dump at a disused brickyard ; alleged fraud by Nantou County commissioner Peng Pai - hsien in connection with construction projects ; allegations of corruption against Hsinchu mayor Tsai Jen - chien ; and the suspected embezzlement of post-921 earthquake relief funds by Hsinchu municipal council speaker Cheng Cheng - kuang .'", "role": "user" }, { "content": "[Explanation]: The sentence contains several entities classified into two categories: \"Person\" and \"GPE\" (Geopolitical Entity). \"Tsai Tzung - yi,\" \"Hsu Yuan - ho,\" \"Chou Yeh - feng,\" \"Peng Pai - hsien,\" \"Tsai Jen - chien,\" and \"Cheng Cheng - kuang\" are classified as \"Person\" because they refer to individuals. \"Linkou,\" \"Yingko Township,\" \"Nantou County,\" and \"Hsinchu\" are classified as \"GPE\" because they refer to specific geographic or political regions. These entities are extracted based on their relevance to the context of alleged illegal activities and positions of authority. [Answer]: Linkou: GPE; Tsai Tzung - yi: Person; Yingko Township: GPE; Hsu Yuan - ho: Person; Linkou: GPE; Chou Yeh - feng: Person; Nantou County: GPE; Peng Pai - hsien: Person; Hsinchu: GPE; Tsai Jen - chien: Person; Hsinchu: GPE; Cheng Cheng - kuang: Person;", "role": "assistant" } ]
26952
[ { "content": "Is there are any entities in the following sentence?\n\n<text>\n\nIf any, extract and classify them into the category: [Ordinal, Percentage, Money, Person, Organization, GPE, Product, Time, Language, Cardinal, NORP, Quantity, Date, Location]\n\nPlease give the analysis first. Please give the answer in the form \"[Answer]: {entity}: {type}; \".\n\nText: 'Japanese government bonds showed little change .'", "role": "user" }, { "content": "[Explanation]: According to the given entity type and text, \"Japanese\" is identified as the \"NORP\". In brief, [Answer]: Japanese: NORP;", "role": "assistant" }, { "content": "Text: 'If you ask the shopkeepers in the main streets or back alleys , they will tell you that the favorite figure of the moment is the Maneki Neko , or Japanese \" beckoning cat , \" whose Chinese name is literally \" wealth - attracting cat \" -LRB- -LRB-c-RRB-?Ìö]o? -RRB- .'", "role": "user" }, { "content": "[Explanation]: According to the given entity type and text, \"Japanese\" is identified as the \"NORP\". \"Chinese\" is identified as the \"NORP\". In brief, [Answer]: Japanese: NORP; Chinese: NORP;", "role": "assistant" }, { "content": "Text: 'Marreiros emphasizes that in addition to Chinese and Portuguese influences , Macau also has its own unique blend of culture - Macaense , which is exhibited in \" local Portuguese \" of mixed ancestry such as himself .'", "role": "user" }, { "content": "[Explanation]: According to the given entity type and text, \"Chinese\" is identified as the \"NORP\". \"Portuguese\" is identified as the \"NORP\". \"Macau\" is identified as the \"GPE\". \"Macaense\" is identified as the \"NORP\". \"Portuguese\" is identified as the \"NORP\". In brief, [Answer]: Chinese: NORP; Portuguese: NORP; Macau: GPE; Macaense: NORP; Portuguese: NORP;", "role": "assistant" }, { "content": "Text: 'The Securities and Exchange Commission gave provisional six - month approval to the Big Board basket at a meeting late yesterday .'", "role": "user" }, { "content": "[Explanation]: Based on the given predefined entity type and text: \"The Securities and Exchange Commission\" represents the \"Organization\". \"six - month\" represents the \"Date\". \"Big Board\" represents the \"Organization\". \"late yesterday\" represents the \"Date\". To sum up, [Answer]: The Securities and Exchange Commission: Organization; six - month: Date; Big Board: Organization; late yesterday: Date;", "role": "assistant" }, { "content": "Text: 'But it has left holders of SCI TV 's junk bonds holding the bag , including some heavyweights that KKR might need to finance future deals , such as Kemper Financial Services , First Executive , Columbia Savings & Loan and Prudential Insurance Co. of America .'", "role": "user" }, { "content": "[Explanation]: According to the given entity type and text, \"SCI TV 's\" is identified as the \"Organization\". \"KKR\" is identified as the \"Organization\". \"Kemper Financial Services\" is identified as the \"Organization\". \"First Executive\" is identified as the \"Organization\". \"Columbia Savings & Loan\" is identified as the \"Organization\". \"Prudential Insurance Co. of America\" is identified as the \"Organization\". In brief, [Answer]: SCI TV 's: Organization; KKR: Organization; Kemper Financial Services: Organization; First Executive: Organization; Columbia Savings & Loan: Organization; Prudential Insurance Co. of America: Organization;", "role": "assistant" }, { "content": "Text: 'Gov. George Deukmejian and key legislators agreed to back a temporary one - quarter - cent increase in the state sales tax to raise $ 800 million for repairs and relief associated with last month 's earthquake .'", "role": "user" }, { "content": "[Explanation]: In accordance with the specified entity type and text, \"George Deukmejian\" is recognized as the \"Person\". \"one - quarter - cent\" is recognized as the \"Money\". \"$ 800 million\" is recognized as the \"Money\". \"last month 's\" is recognized as the \"Date\". To recap, [Answer]: George Deukmejian: Person; one - quarter - cent: Money; $ 800 million: Money; last month 's: Date;", "role": "assistant" }, { "content": "Text: 'Tandem , which already specializes in on - line transaction processing , is a potent competitor in that market .'", "role": "user" }, { "content": "[Explanation]: Given the provided predefined entity type and text, \"Tandem\" is identified as the \"Organization\" entity. In summary, [Answer]: Tandem: Organization;", "role": "assistant" }, { "content": "Text: 'In direct cash assistance , $ 1 billion is provided in federal highway construction funds , and $ 1.35 billion is divided between general emergency aid and a reserve to be available to the president to meet unanticipated costs from the two disasters .'", "role": "user" }, { "content": "[Explanation]: According to the given entity type and text, \"$ 1 billion\" is identified as the \"Money\". \"$ 1.35 billion\" is identified as the \"Money\". In brief, [Answer]: $ 1 billion: Money; $ 1.35 billion: Money;", "role": "assistant" }, { "content": "Text: 'The following cases , currently under investigation , have attracted particular attention : the alleged involvement of Linkou mayor Tsai Tzung - yi , Yingko Township chief Hsu Yuan - ho and Linkou council deputy chairman Chou Yeh - feng in the operation of an illegal waste dump at a disused brickyard ; alleged fraud by Nantou County commissioner Peng Pai - hsien in connection with construction projects ; allegations of corruption against Hsinchu mayor Tsai Jen - chien ; and the suspected embezzlement of post-921 earthquake relief funds by Hsinchu municipal council speaker Cheng Cheng - kuang .'", "role": "user" }, { "content": "[Explanation]: The answer identifies four entities from the provided text. \"Linkou\" is classified under \"GPE\" (Geopolitical Entity), indicating a territorial subdivision like a city, district, or country. \"Tsai Tzung - yi\" and \"Yingko Township\" are classified under \"Person\" due to their names being individuals. Lastly, \"Cheng Cheng - kuang\" is also classified as \"Person,\" presumably a further detail about the 'municipal council speaker' mentioned in the context of investigations. These identifications help in understanding hierarchical jurisdictions or personnel mentioned in the text, showing the roles and entities involved. [Answer]: Linkou: GPE; Tsai Tzung - yi: Person; Yingko Township: GPE; Cheng Cheng - kuang: Person;", "role": "assistant" } ]
[ { "content": "Dive into the Open Information Extraction task by extracting relational tuples from the provided text, which include subjects, predicates, objects, and possibly, time and location details. If no relational tuples are present, simply state 'Relationships not found.'Please give the answer in the tuple form \"[Answer]: ({predicate}; {subject}; {object}; {time}; {location})\n\". If one or more of the last three elements does not exist, it can be omitted.\n\nText: 'The largest online rewards program is RewardsCentral .'", "role": "user" }, { "content": "[Answer]: (is; The largest online rewards program; RewardsCentral);", "role": "assistant" }, { "content": "Text: 'Asser 's account of the raid places the Danish raiders at the Saxon city of Rochester , where they built a temporary fortress in order to besiege the city .'", "role": "user" }, { "content": "[Answer]: (places; Asser 's account of the raid; the Danish raiders at the Saxon city of Rochester); \n(built; they; a temporary fortress in order);", "role": "assistant" }, { "content": "Text: 'Most survivors reunited with the Otoe , while some joined the Osage and Kansa .'", "role": "user" }, { "content": "[Answer]: (reunited; Most survivors; with the Otoe; while some joined the Osage and Kansa); \n(joined; some; the Osage and Kansa);", "role": "assistant" }, { "content": "Text: 'Lexeme is an abstract unit of morphological analysis in linguistics , that roughly corresponds to a set of forms taken by a single word .'", "role": "user" }, { "content": "[Answer]: (is; Lexeme; an abstract unit of morphological analysis in linguistics , that roughly corresponds to a set of forms taken by a single word; None); \n(taken; a set of forms; by a single word; None);", "role": "assistant" } ]
openie4
[ { "content": "Dive into the Open Information Extraction task by extracting relational tuples from the provided text, which include subjects, predicates, objects, and possibly, time and location details. If no relational tuples are present, simply state 'Relationships not found.'Please give the answer in the tuple form \"[Answer]: ({predicate}; {subject}; {object}; {time}; {location})\n\". If one or more of the last three elements does not exist, it can be omitted.\n\nText: 'The largest online rewards program is RewardsCentral .'", "role": "user" }, { "content": "[Answer]: (is; The largest online rewards program; RewardsCentral);", "role": "assistant" }, { "content": "Text: 'Asser 's account of the raid places the Danish raiders at the Saxon city of Rochester , where they built a temporary fortress in order to besiege the city .'", "role": "user" }, { "content": "[Answer]: (places; Asser 's account of the raid; the Danish raiders at the Saxon city of Rochester); \n(built; they; a temporary fortress in order);", "role": "assistant" }, { "content": "Text: 'Most survivors reunited with the Otoe , while some joined the Osage and Kansa .'", "role": "user" }, { "content": "[Answer]: (reunited; Most survivors; with the Otoe; while some joined the Osage and Kansa); \n(joined; some; the Osage and Kansa);", "role": "assistant" }, { "content": "Text: 'Lexeme is an abstract unit of morphological analysis in linguistics , that roughly corresponds to a set of forms taken by a single word .'", "role": "user" }, { "content": "[Answer]: (is; Lexeme; an abstract unit of morphological analysis in linguistics , that roughly corresponds to a set of forms); \n(roughly corresponds; an abstract unit of morphological analysis in linguistics; to a set of forms); \n(taken; forms; by a single word);", "role": "assistant" } ]
39538
[ { "content": "Dive into the Open Information Extraction task by extracting relational tuples from the provided text, which include subjects, predicates, objects, and possibly, time and location details. If no relational tuples are present, simply state 'Relationships not found.'Please give the answer in the tuple form \"[Answer]: ({predicate}; {subject}; {object}; {time}; {location})\n\". If one or more of the last three elements does not exist, it can be omitted.\n\nText: 'The largest online rewards program is RewardsCentral .'", "role": "user" }, { "content": "[Answer]: (is; The largest online rewards program; RewardsCentral);", "role": "assistant" }, { "content": "Text: 'Asser 's account of the raid places the Danish raiders at the Saxon city of Rochester , where they built a temporary fortress in order to besiege the city .'", "role": "user" }, { "content": "[Answer]: (places; Asser 's account of the raid; the Danish raiders at the Saxon city of Rochester); \n(built; they; a temporary fortress in order);", "role": "assistant" }, { "content": "Text: 'Most survivors reunited with the Otoe , while some joined the Osage and Kansa .'", "role": "user" }, { "content": "[Answer]: (reunited; Most survivors; with the Otoe; while some joined the Osage and Kansa); \n(joined; some; the Osage and Kansa);", "role": "assistant" }, { "content": "Text: 'Lexeme is an abstract unit of morphological analysis in linguistics , that roughly corresponds to a set of forms taken by a single word .'", "role": "user" }, { "content": "[Answer]: (is; Leopoldine cell line; an abstract unit of morphological analysis); \n(taken; a single word; by a set of forms);", "role": "assistant" } ]
[ { "content": "Extract the [\"'Component' means 'The subject before the formation of the agent can be a previous composition element or a previous stage of development, a weaker level, etc.'\", \"'Agent' means 'The main body that newly emerges and develops can be objects, hurricanes, storms, etc.'\", \"'Location' means 'Agent formation, development location, place.'\"] related to the event mentioned in the following sentence: <text>. If there are no related <options>, answer with ``No related <options>``.Please give the analysis first. Please give the answer in the form \"[Answer]: {word}: {role}; \".\n\nText: 'The 2011 anti-cuts protest in London, also known as the March for the Alternative, was a demonstration held in central London on 26 March 2011.Organised by the Trades Union Congress ( TUC ) , it was a protest march against planned public spending cuts by the Conservative-Liberal Democrat coalition government that was <event> formed </event> in May 2010 . Various sources estimated that the demonstration was attended by between 250,000 and 500,000 people. It was described as the largest protest in the United Kingdom since the 15 February 2003 anti-Iraq War protest and the largest union-organised rally in London since the Second World War. Demonstrators marched from the Thames Embankment, via the Houses of Parliament, to Hyde Park where a rally took place with speakers including the TUC general secretary Brendan Barber and leader of the opposition Ed Miliband, who addressed the assembled crowds. Several independent protesting groups, some of whom had moved from the main march, assembled further north in the heart of London's West End, where shops and banks were vandalised and some individuals clashed with police. Further clashes were reported later in Trafalgar Square. 201 people were arrested, and 66 were injured, including 31 police officers.'", "role": "user" }, { "content": "[Explanation]: According to the context, the event \"formed\" is correlated with the event type \"Coming_to_be\".According to the context, the event \"formed\" is correlated with the event type \"Coming_to_be\".[Answer]: London: Location; Conservative-Liberal Democrat coalition government: Agent;", "role": "assistant" }, { "content": "Text: 'Hurricane Gonzalo was the second tropical cyclone, after Hurricane Fay, to directly strike the island of Bermuda in a one-week time frame in October 2014, and was the first Category 4 Atlantic hurricane since Hurricane Ophelia in 2011. At the time, it was the strongest hurricane in the Atlantic since Igor in 2010. Gonzalo struck Bermuda less than a week after the surprisingly fierce Fay; 2014 was the first season in recorded history to feature two hurricane landfalls in Bermuda. A powerful Atlantic tropical cyclone that wrought destruction in the Leeward Islands and Bermuda, Gonzalo was the seventh named storm, sixth and final hurricane and only the second major hurricane of the below-average 2014 Atlantic hurricane season.The storm <event> formed </event> from a tropical wave on October 12 , while located east of the Lesser Antilles . It made landfall on Antigua, Saint Martin, and Anguilla as a Category 1 hurricane, causing damage on those and nearby islands. Antigua and Barbuda sustained US$40 million in losses, and boats were abundantly damaged or destroyed throughout the northern Leeward Islands. The storm killed three people on Saint Martin and Saint Barthélemy. Gonzalo tracked northwestward as it intensified into a major hurricane. Eyewall replacement cycles led to fluctuations in the hurricane's structure and intensity, but on October 16, Gonzalo peaked with maximum sustained winds of 145 mph (230 km/h). After Hurricane Fay caused extensive power outages on the island just days before, residents of Bermuda were forced to complete preparations for Gonzalo in haste. Banks, businesses, schools, and government offices closed in advance of the storm, while the Royal Navy ship HMS \"Argyll\" left its post in the Caribbean to provide Bermuda with emergency assistance. The cyclone gradually weakened before crossing directly over central Bermuda at Category 2 strength around 00:30 UTC on October 18. Gonzalo battered the island with wind gusts as high as , downing hundreds of trees and creating widespread roof damage. At the height of the storm, about 31,000 out of 36,000 total electricity customers were without power; service was not fully restored until early November. Many roads were impassable immediately following the hurricane, and in many cases the damage done by Gonzalo was indistinguishable from that of Fay. Bermuda Regiment soldiers and sailors from the \"Argyll\" took part in initial cleanup and repairs on the territory, and preliminary assessments revealed that the storm did not compare to the devastation of Hurricane Fabian in 2003. Catastrophe modelling firms estimated that Bermuda suffered at least $200 million in insured losses, and despite the heavy disruptions, no deaths or serious injuries were reported there. Departing Bermuda, Gonzalo accelerated toward the waters of the North Atlantic, passing close to southeastern Newfoundland before becoming extratropical on October 19. Gusty winds and bands of heavy rain in the southeastern Avalon Peninsula engendered minor flooding and power outages. A large storm system involving the remnants of Gonzalo battered the British Isles and central Europe on October 21, killing three people in the United Kingdom and severely hindering transportation. The system later played a role in triggering torrential rains over the Balkans, which resulted in severe flooding in Greece and Bulgaria.'", "role": "user" }, { "content": "[Explanation]: Upon examining the \"formed\", it becomes clear that this event is categorized under the \"Coming_to_be\" type.[Answer]: east of the Lesser Antilles: Location; Hurricane Gonzalo: Agent;", "role": "assistant" } ]
maven-eae
[ { "content": "Extract the [\"'Component' means 'The subject before the formation of the agent can be a previous composition element or a previous stage of development, a weaker level, etc.'\", \"'Agent' means 'The main body that newly emerges and develops can be objects, hurricanes, storms, etc.'\", \"'Location' means 'Agent formation, development location, place.'\"] related to the event mentioned in the following sentence: <text>. If there are no related <options>, answer with ``No related <options>``.Please give the analysis first. Please give the answer in the form \"[Answer]: {word}: {role}; \".\n\nText: 'The 2011 anti-cuts protest in London, also known as the March for the Alternative, was a demonstration held in central London on 26 March 2011.Organised by the Trades Union Congress ( TUC ) , it was a protest march against planned public spending cuts by the Conservative-Liberal Democrat coalition government that was <event> formed </event> in May 2010 . Various sources estimated that the demonstration was attended by between 250,000 and 500,000 people. It was described as the largest protest in the United Kingdom since the 15 February 2003 anti-Iraq War protest and the largest union-organised rally in London since the Second World War. Demonstrators marched from the Thames Embankment, via the Houses of Parliament, to Hyde Park where a rally took place with speakers including the TUC general secretary Brendan Barber and leader of the opposition Ed Miliband, who addressed the assembled crowds. Several independent protesting groups, some of whom had moved from the main march, assembled further north in the heart of London's West End, where shops and banks were vandalised and some individuals clashed with police. Further clashes were reported later in Trafalgar Square. 201 people were arrested, and 66 were injured, including 31 police officers.'", "role": "user" }, { "content": "[Explanation]: According to the context, the event \"formed\" is correlated with the event type \"Coming_to_be\".According to the context, the event \"formed\" is correlated with the event type \"Coming_to_be\".[Answer]: London: Location; Conservative-Liberal Democrat coalition government: Agent;", "role": "assistant" }, { "content": "Text: 'Hurricane Gonzalo was the second tropical cyclone, after Hurricane Fay, to directly strike the island of Bermuda in a one-week time frame in October 2014, and was the first Category 4 Atlantic hurricane since Hurricane Ophelia in 2011. At the time, it was the strongest hurricane in the Atlantic since Igor in 2010. Gonzalo struck Bermuda less than a week after the surprisingly fierce Fay; 2014 was the first season in recorded history to feature two hurricane landfalls in Bermuda. A powerful Atlantic tropical cyclone that wrought destruction in the Leeward Islands and Bermuda, Gonzalo was the seventh named storm, sixth and final hurricane and only the second major hurricane of the below-average 2014 Atlantic hurricane season.The storm <event> formed </event> from a tropical wave on October 12 , while located east of the Lesser Antilles . It made landfall on Antigua, Saint Martin, and Anguilla as a Category 1 hurricane, causing damage on those and nearby islands. Antigua and Barbuda sustained US$40 million in losses, and boats were abundantly damaged or destroyed throughout the northern Leeward Islands. The storm killed three people on Saint Martin and Saint Barthélemy. Gonzalo tracked northwestward as it intensified into a major hurricane. Eyewall replacement cycles led to fluctuations in the hurricane's structure and intensity, but on October 16, Gonzalo peaked with maximum sustained winds of 145 mph (230 km/h). After Hurricane Fay caused extensive power outages on the island just days before, residents of Bermuda were forced to complete preparations for Gonzalo in haste. Banks, businesses, schools, and government offices closed in advance of the storm, while the Royal Navy ship HMS \"Argyll\" left its post in the Caribbean to provide Bermuda with emergency assistance. The cyclone gradually weakened before crossing directly over central Bermuda at Category 2 strength around 00:30 UTC on October 18. Gonzalo battered the island with wind gusts as high as , downing hundreds of trees and creating widespread roof damage. At the height of the storm, about 31,000 out of 36,000 total electricity customers were without power; service was not fully restored until early November. Many roads were impassable immediately following the hurricane, and in many cases the damage done by Gonzalo was indistinguishable from that of Fay. Bermuda Regiment soldiers and sailors from the \"Argyll\" took part in initial cleanup and repairs on the territory, and preliminary assessments revealed that the storm did not compare to the devastation of Hurricane Fabian in 2003. Catastrophe modelling firms estimated that Bermuda suffered at least $200 million in insured losses, and despite the heavy disruptions, no deaths or serious injuries were reported there. Departing Bermuda, Gonzalo accelerated toward the waters of the North Atlantic, passing close to southeastern Newfoundland before becoming extratropical on October 19. Gusty winds and bands of heavy rain in the southeastern Avalon Peninsula engendered minor flooding and power outages. A large storm system involving the remnants of Gonzalo battered the British Isles and central Europe on October 21, killing three people in the United Kingdom and severely hindering transportation. The system later played a role in triggering torrential rains over the Balkans, which resulted in severe flooding in Greece and Bulgaria.'", "role": "user" }, { "content": "[Explanation]: In the given context, the event \"formed\" is connected to the event type \"Coming_to_be\".In the given context, the event \"formed\" is connected to the event type \"Coming_to_be\".In the given context, the event \"formed\" is connected to the event type \"Coming_to_be\".[Answer]: Lesser Antilles: Location; Gonzalo: Agent; a tropical wave: Component;", "role": "assistant" } ]
26258
[ { "content": "Extract the [\"'Component' means 'The subject before the formation of the agent can be a previous composition element or a previous stage of development, a weaker level, etc.'\", \"'Agent' means 'The main body that newly emerges and develops can be objects, hurricanes, storms, etc.'\", \"'Location' means 'Agent formation, development location, place.'\"] related to the event mentioned in the following sentence: <text>. If there are no related <options>, answer with ``No related <options>``.Please give the analysis first. Please give the answer in the form \"[Answer]: {word}: {role}; \".\n\nText: 'The 2011 anti-cuts protest in London, also known as the March for the Alternative, was a demonstration held in central London on 26 March 2011.Organised by the Trades Union Congress ( TUC ) , it was a protest march against planned public spending cuts by the Conservative-Liberal Democrat coalition government that was <event> formed </event> in May 2010 . Various sources estimated that the demonstration was attended by between 250,000 and 500,000 people. It was described as the largest protest in the United Kingdom since the 15 February 2003 anti-Iraq War protest and the largest union-organised rally in London since the Second World War. Demonstrators marched from the Thames Embankment, via the Houses of Parliament, to Hyde Park where a rally took place with speakers including the TUC general secretary Brendan Barber and leader of the opposition Ed Miliband, who addressed the assembled crowds. Several independent protesting groups, some of whom had moved from the main march, assembled further north in the heart of London's West End, where shops and banks were vandalised and some individuals clashed with police. Further clashes were reported later in Trafalgar Square. 201 people were arrested, and 66 were injured, including 31 police officers.'", "role": "user" }, { "content": "[Explanation]: According to the context, the event \"formed\" is correlated with the event type \"Coming_to_be\".According to the context, the event \"formed\" is correlated with the event type \"Coming_to_be\".[Answer]: London: Location; Conservative-Liberal Democrat coalition government: Agent;", "role": "assistant" }, { "content": "Text: 'Hurricane Gonzalo was the second tropical cyclone, after Hurricane Fay, to directly strike the island of Bermuda in a one-week time frame in October 2014, and was the first Category 4 Atlantic hurricane since Hurricane Ophelia in 2011. At the time, it was the strongest hurricane in the Atlantic since Igor in 2010. Gonzalo struck Bermuda less than a week after the surprisingly fierce Fay; 2014 was the first season in recorded history to feature two hurricane landfalls in Bermuda. A powerful Atlantic tropical cyclone that wrought destruction in the Leeward Islands and Bermuda, Gonzalo was the seventh named storm, sixth and final hurricane and only the second major hurricane of the below-average 2014 Atlantic hurricane season.The storm <event> formed </event> from a tropical wave on October 12 , while located east of the Lesser Antilles . It made landfall on Antigua, Saint Martin, and Anguilla as a Category 1 hurricane, causing damage on those and nearby islands. Antigua and Barbuda sustained US$40 million in losses, and boats were abundantly damaged or destroyed throughout the northern Leeward Islands. The storm killed three people on Saint Martin and Saint Barthélemy. Gonzalo tracked northwestward as it intensified into a major hurricane. Eyewall replacement cycles led to fluctuations in the hurricane's structure and intensity, but on October 16, Gonzalo peaked with maximum sustained winds of 145 mph (230 km/h). After Hurricane Fay caused extensive power outages on the island just days before, residents of Bermuda were forced to complete preparations for Gonzalo in haste. Banks, businesses, schools, and government offices closed in advance of the storm, while the Royal Navy ship HMS \"Argyll\" left its post in the Caribbean to provide Bermuda with emergency assistance. The cyclone gradually weakened before crossing directly over central Bermuda at Category 2 strength around 00:30 UTC on October 18. Gonzalo battered the island with wind gusts as high as , downing hundreds of trees and creating widespread roof damage. At the height of the storm, about 31,000 out of 36,000 total electricity customers were without power; service was not fully restored until early November. Many roads were impassable immediately following the hurricane, and in many cases the damage done by Gonzalo was indistinguishable from that of Fay. Bermuda Regiment soldiers and sailors from the \"Argyll\" took part in initial cleanup and repairs on the territory, and preliminary assessments revealed that the storm did not compare to the devastation of Hurricane Fabian in 2003. Catastrophe modelling firms estimated that Bermuda suffered at least $200 million in insured losses, and despite the heavy disruptions, no deaths or serious injuries were reported there. Departing Bermuda, Gonzalo accelerated toward the waters of the North Atlantic, passing close to southeastern Newfoundland before becoming extratropical on October 19. Gusty winds and bands of heavy rain in the southeastern Avalon Peninsula engendered minor flooding and power outages. A large storm system involving the remnants of Gonzalo battered the British Isles and central Europe on October 21, killing three people in the United Kingdom and severely hindering transportation. The system later played a role in triggering torrential rains over the Balkans, which resulted in severe flooding in Greece and Bulgaria.'", "role": "user" }, { "content": "[Explanation]: In the given context, the event \"formed\" is connected to the event type \"Coming_to_be\".[Answer]: Lesser Antilles: Location;", "role": "assistant" } ]
[ { "content": "[\"Loss: such as two people were killed, up to $ 1.01 billion ( 2005 USD ), Rewa affected six countries, 200, estimated 1,425 trillion baht ( US $ 46.5 billion ) in economic damages.\", \"Content: such as The Norwegian vessel collided with , a French cargo ship laden with high explosives , in the Narrows , a strait connecting the upper Halifax Harbour to Bedford Basin , causing a large explosion on the French freighter , devastating the Richmond district of Halifax, capitol building, Cyclone Hyacinthe, maritime incidents, derailed.\", \"Patient: such as Boeing 737-800, South Korea, Hurricane Elena, eastern Florida, Bay Area 's major transportation structures.\", \"Location: such as Mountainous Region, an open field by a trailer park near the end of the runway, Augusta National Golf Club, Mauritius, Christchurch.\"]\n\n<text>\n\nPlease extract all the arguments for the given event mentioned in the above sentence.Please explain first. Please give the answer in the form \"[Answer]: {word}: {role}; \".\n\nText: 'Hurricane Kenna was the fourth-most intense tropical cyclone on record in the Eastern Pacific basin, and at the time the third-most intense Pacific hurricane to strike the west coast of Mexico. Kenna was the sixteenth tropical depression, thirteenth tropical storm, seventh hurricane, sixth major hurricane, and third Category 5 hurricane of the 2002 Pacific hurricane season. After forming on October 22 to the south of Mexico from a tropical wave, forecasters consistently predicted the storm to strengthen much less than it actually did.Moving into an area of favorable upper-level conditions and warm sea surface temperatures , Kenna quickly strengthened to reach peak winds of 165 mph ( 270 km/h ) as a Category 5 <event> hurricane </event> , on October 25 , while located about 255 mi ( 410 km ) southwest of Puerto Vallarta , Jalisco . Weakening as it turned to the northeast, the hurricane made landfall near San Blas, Nayarit as a Category 4 hurricane, with sustained winds of 140 mph (220 km/h), before dissipating on October 26 over the Sierra Madre Occidental mountains. The name \"Kenna\" was retired from the list of Pacific hurricane names due to its effects on Mexico, which included US$101 million in damage and four deaths. The worst of the hurricane's effects occurred between San Blas in Nayarit and Puerto Vallarta in Jalisco, where over 100 people were injured and thousands of homes and businesses were damaged or destroyed. 95% of the buildings in San Blas were damaged, and hundreds of buildings were destroyed along coastal areas of Puerto Vallarta.'", "role": "user" }, { "content": "[Explanation]: In the provided context, the event \"hurricane\" is aligned with the event type \"Catastrophe\".In the provided context, the event \"hurricane\" is aligned with the event type \"Catastrophe\".In the provided context, the event \"hurricane\" is aligned with the event type \"Catastrophe\".In the provided context, the event \"hurricane\" is aligned with the event type \"Catastrophe\".In the provided context, the event \"hurricane\" is aligned with the event type \"Catastrophe\".[Answer]: Mexico: Location; Mexico: Patient; US $ 101 million in damage: Loss; four deaths: Loss; where over 100 people were injured: Loss;", "role": "assistant" }, { "content": "Text: 'The Canoe River train <event> crash </event> occurred on November 21 , 1950 , near Valemount in eastern British Columbia , Canada , when a westbound troop train and the eastbound Canadian National Railway ( CNR ) `` Continental Limited '' collided head-on . The collision killed 21 people: 17 Canadian soldiers en route to the Korean War and the two-man locomotive crew of each train. The post-crash investigation found that the order given to the troop train differed from the intended message. Crucial words were missing, causing the troop train to proceed on its way rather than halt on a siding, resulting in the collision. A telegraph operator, Alfred John \"Jack\" Atherton, was charged with manslaughter; the Crown alleged that he was negligent in passing an incomplete message. His family hired his Member of Parliament, John Diefenbaker, as defence counsel. Diefenbaker joined the British Columbia bar to take the case, and obtained Atherton's acquittal. After the accident, the CNR installed block signals on the stretch of track on which the crash occurred. The railway later realigned the main line in that area, eliminating a sharp curve that prevented crews from seeing oncoming trains. Diefenbaker's successful defence of Atherton became an asset in his political rise. A number of monuments honour the dead.'", "role": "user" }, { "content": "[Explanation]: In the given context, the event \"crash\" is connected to the event type \"Catastrophe\".In the given context, the event \"crash\" is connected to the event type \"Catastrophe\".In the given context, the event \"crash\" is connected to the event type \"Catastrophe\".In the given context, the event \"crash\" is connected to the event type \"Catastrophe\".[Answer]: killed 21 people: Loss; eastern British Columbia: Location; a westbound troop train: Patient; Canoe River: Location;", "role": "assistant" } ]
maven-eae
[ { "content": "[\"Loss: such as two people were killed, up to $ 1.01 billion ( 2005 USD ), Rewa affected six countries, 200, estimated 1,425 trillion baht ( US $ 46.5 billion ) in economic damages.\", \"Content: such as The Norwegian vessel collided with , a French cargo ship laden with high explosives , in the Narrows , a strait connecting the upper Halifax Harbour to Bedford Basin , causing a large explosion on the French freighter , devastating the Richmond district of Halifax, capitol building, Cyclone Hyacinthe, maritime incidents, derailed.\", \"Patient: such as Boeing 737-800, South Korea, Hurricane Elena, eastern Florida, Bay Area 's major transportation structures.\", \"Location: such as Mountainous Region, an open field by a trailer park near the end of the runway, Augusta National Golf Club, Mauritius, Christchurch.\"]\n\n<text>\n\nPlease extract all the arguments for the given event mentioned in the above sentence.Please explain first. Please give the answer in the form \"[Answer]: {word}: {role}; \".\n\nText: 'Hurricane Kenna was the fourth-most intense tropical cyclone on record in the Eastern Pacific basin, and at the time the third-most intense Pacific hurricane to strike the west coast of Mexico. Kenna was the sixteenth tropical depression, thirteenth tropical storm, seventh hurricane, sixth major hurricane, and third Category 5 hurricane of the 2002 Pacific hurricane season. After forming on October 22 to the south of Mexico from a tropical wave, forecasters consistently predicted the storm to strengthen much less than it actually did.Moving into an area of favorable upper-level conditions and warm sea surface temperatures , Kenna quickly strengthened to reach peak winds of 165 mph ( 270 km/h ) as a Category 5 <event> hurricane </event> , on October 25 , while located about 255 mi ( 410 km ) southwest of Puerto Vallarta , Jalisco . Weakening as it turned to the northeast, the hurricane made landfall near San Blas, Nayarit as a Category 4 hurricane, with sustained winds of 140 mph (220 km/h), before dissipating on October 26 over the Sierra Madre Occidental mountains. The name \"Kenna\" was retired from the list of Pacific hurricane names due to its effects on Mexico, which included US$101 million in damage and four deaths. The worst of the hurricane's effects occurred between San Blas in Nayarit and Puerto Vallarta in Jalisco, where over 100 people were injured and thousands of homes and businesses were damaged or destroyed. 95% of the buildings in San Blas were damaged, and hundreds of buildings were destroyed along coastal areas of Puerto Vallarta.'", "role": "user" }, { "content": "[Explanation]: In the provided context, the event \"hurricane\" is aligned with the event type \"Catastrophe\".In the provided context, the event \"hurricane\" is aligned with the event type \"Catastrophe\".In the provided context, the event \"hurricane\" is aligned with the event type \"Catastrophe\".In the provided context, the event \"hurricane\" is aligned with the event type \"Catastrophe\".In the provided context, the event \"hurricane\" is aligned with the event type \"Catastrophe\".[Answer]: Mexico: Location; Mexico: Patient; US $ 101 million in damage: Loss; four deaths: Loss; where over 100 people were injured: Loss;", "role": "assistant" }, { "content": "Text: 'The Canoe River train <event> crash </event> occurred on November 21 , 1950 , near Valemount in eastern British Columbia , Canada , when a westbound troop train and the eastbound Canadian National Railway ( CNR ) `` Continental Limited '' collided head-on . The collision killed 21 people: 17 Canadian soldiers en route to the Korean War and the two-man locomotive crew of each train. The post-crash investigation found that the order given to the troop train differed from the intended message. Crucial words were missing, causing the troop train to proceed on its way rather than halt on a siding, resulting in the collision. A telegraph operator, Alfred John \"Jack\" Atherton, was charged with manslaughter; the Crown alleged that he was negligent in passing an incomplete message. His family hired his Member of Parliament, John Diefenbaker, as defence counsel. Diefenbaker joined the British Columbia bar to take the case, and obtained Atherton's acquittal. After the accident, the CNR installed block signals on the stretch of track on which the crash occurred. The railway later realigned the main line in that area, eliminating a sharp curve that prevented crews from seeing oncoming trains. Diefenbaker's successful defence of Atherton became an asset in his political rise. A number of monuments honour the dead.'", "role": "user" }, { "content": "[Explanation]: Within the provided context, the event \"crash\" is linked to the event type \"Catastrophe\".Within the provided context, the event \"crash\" is linked to the event type \"Catastrophe\".Within the provided context, the event \"crash\" is linked to the event type \"Catastrophe\".Within the provided context, the event \"crash\" is linked to the event type \"Catastrophe\".[Answer]: Valemount: Location; a westbound troop train: Patient; Continental Limited: Patient; killed 21 people: Loss;", "role": "assistant" } ]
34512
[ { "content": "[\"Loss: such as two people were killed, up to $ 1.01 billion ( 2005 USD ), Rewa affected six countries, 200, estimated 1,425 trillion baht ( US $ 46.5 billion ) in economic damages.\", \"Content: such as The Norwegian vessel collided with , a French cargo ship laden with high explosives , in the Narrows , a strait connecting the upper Halifax Harbour to Bedford Basin , causing a large explosion on the French freighter , devastating the Richmond district of Halifax, capitol building, Cyclone Hyacinthe, maritime incidents, derailed.\", \"Patient: such as Boeing 737-800, South Korea, Hurricane Elena, eastern Florida, Bay Area 's major transportation structures.\", \"Location: such as Mountainous Region, an open field by a trailer park near the end of the runway, Augusta National Golf Club, Mauritius, Christchurch.\"]\n\n<text>\n\nPlease extract all the arguments for the given event mentioned in the above sentence.Please explain first. Please give the answer in the form \"[Answer]: {word}: {role}; \".\n\nText: 'Hurricane Kenna was the fourth-most intense tropical cyclone on record in the Eastern Pacific basin, and at the time the third-most intense Pacific hurricane to strike the west coast of Mexico. Kenna was the sixteenth tropical depression, thirteenth tropical storm, seventh hurricane, sixth major hurricane, and third Category 5 hurricane of the 2002 Pacific hurricane season. After forming on October 22 to the south of Mexico from a tropical wave, forecasters consistently predicted the storm to strengthen much less than it actually did.Moving into an area of favorable upper-level conditions and warm sea surface temperatures , Kenna quickly strengthened to reach peak winds of 165 mph ( 270 km/h ) as a Category 5 <event> hurricane </event> , on October 25 , while located about 255 mi ( 410 km ) southwest of Puerto Vallarta , Jalisco . Weakening as it turned to the northeast, the hurricane made landfall near San Blas, Nayarit as a Category 4 hurricane, with sustained winds of 140 mph (220 km/h), before dissipating on October 26 over the Sierra Madre Occidental mountains. The name \"Kenna\" was retired from the list of Pacific hurricane names due to its effects on Mexico, which included US$101 million in damage and four deaths. The worst of the hurricane's effects occurred between San Blas in Nayarit and Puerto Vallarta in Jalisco, where over 100 people were injured and thousands of homes and businesses were damaged or destroyed. 95% of the buildings in San Blas were damaged, and hundreds of buildings were destroyed along coastal areas of Puerto Vallarta.'", "role": "user" }, { "content": "[Explanation]: In the provided context, the event \"hurricane\" is aligned with the event type \"Catastrophe\".In the provided context, the event \"hurricane\" is aligned with the event type \"Catastrophe\".In the provided context, the event \"hurricane\" is aligned with the event type \"Catastrophe\".In the provided context, the event \"hurricane\" is aligned with the event type \"Catastrophe\".In the provided context, the event \"hurricane\" is aligned with the event type \"Catastrophe\".[Answer]: Mexico: Location; Mexico: Patient; US $ 101 million in damage: Loss; four deaths: Loss; where over 100 people were injured: Loss;", "role": "assistant" }, { "content": "Text: 'The Canoe River train <event> crash </event> occurred on November 21 , 1950 , near Valemount in eastern British Columbia , Canada , when a westbound troop train and the eastbound Canadian National Railway ( CNR ) `` Continental Limited '' collided head-on . The collision killed 21 people: 17 Canadian soldiers en route to the Korean War and the two-man locomotive crew of each train. The post-crash investigation found that the order given to the troop train differed from the intended message. Crucial words were missing, causing the troop train to proceed on its way rather than halt on a siding, resulting in the collision. A telegraph operator, Alfred John \"Jack\" Atherton, was charged with manslaughter; the Crown alleged that he was negligent in passing an incomplete message. His family hired his Member of Parliament, John Diefenbaker, as defence counsel. Diefenbaker joined the British Columbia bar to take the case, and obtained Atherton's acquittal. After the accident, the CNR installed block signals on the stretch of track on which the crash occurred. The railway later realigned the main line in that area, eliminating a sharp curve that prevented crews from seeing oncoming trains. Diefenbaker's successful defence of Atherton became an asset in his political rise. A number of monuments honour the dead.'", "role": "user" }, { "content": "[Explanation]: In the given context, the event \"crash\" is associated with the event type \"Catastrophe\".In the given context, the event \"crash\" is associated with the event type \"Catastrophe\".In the given context, the event \"crash\" is associated with the event type \"Catastrophe\".In the given context, the event \"crash\" is associated with the event type \"Catastrophe\".[Answer]: Valemount: Location; killed 21 people: Loss; Canoe River: Patient; Canoe River: Location;", "role": "assistant" } ]
[ { "content": "Analyze the following sentence and identify all entities belonging to the following types: [\"Event: such as Hurricane Hugo, the World Cup, Occupation, / 11, the second world war.\", \"Language: such as Arabic, Taiwanese, English.\", \"WorkOfArt: such as Saturday Night With Connie Chung, '' Caddy Shack '', Fear and Loathing in the Corporate Boardrooms, Sixty Minutes, Hardball.\", \"Percentage: such as 15 %, 22 %, 50 %, a provisional 0.6 %.\", \"Cardinal: such as 919, 135 thousand, 29, two.\", \"Person: such as Reggie Jackson, Stern, Ye, Guber, Chang.\", \"Facility: such as the White House, Interstate 880, Potala Palace, The Zhanjiang Port, Wet 'n' Wild.\", \"Law: such as the \" Yalta agreement \", Bankruptcy Code, the First Amendment, Superfund, Chapter 11.\", \"GPE: such as Hangzhou, Ireland, Kirghizia, Rome, Calgary.\", \"Ordinal: such as first, second, third.\", \"Money: such as $ 13.4 billion, US$ 7, 1,000, $ 10 billion, 600 million US dollars.\", \"Location: such as Jupiter, Europe, Eastern Europe.\", \"NORP: such as Bulgarian, French, Republican, Israeli, Americans.\", \"Quantity: such as 7,839 metric tons, 200 mph, twenty - five thousand uh feet, two, 500 or so kilometers.\", \"Organization: such as the White House, al - Jazeera TV, NATO, Senate, Jinchuan Company.\"].\n\nSentence: <text>\n\nIf none of the entities match the given entity types, output \"None.\"Make analysis according to the sentence and give the answer. Please give the answer in the form \"[Answer]: {entity}: {type}; \".\n\nText: 'In blindly striking out after 9 / 11 -- a reflexive , grandly opportunistic , richly self - satisfying political act in America -- without seriously understanding the politics or history of either country , he plunged the Pentagon into blundering , plundering occupations that made the nightmares of 2007 and beyond nearly inevitable .'", "role": "user" }, { "content": "[Explanation]: Based on the given predefined entity type and text: \"9 / 11\" represents the \"Event\". \"America\" represents the \"GPE\". \"Pentagon\" represents the \"Organization\". To sum up, [Answer]: 9 / 11: Event; America: GPE; Pentagon: Organization;", "role": "assistant" }, { "content": "Text: 'I mean , that 's for two'", "role": "user" }, { "content": "[Explanation]: Based on the given predefined entity type and text: \"two\" represents the \"Cardinal\". To sum up, [Answer]: two: Cardinal;", "role": "assistant" }, { "content": "Text: 'Formal proceedings are now underway to prosecute Mr. Arivalo and the owners of the Jessica .'", "role": "user" }, { "content": "[Explanation]: Given the provided predefined entity type and text, \"Arivalo\" is identified as the \"Person\" entity. In summary, [Answer]: Arivalo: Person;", "role": "assistant" }, { "content": "Text: 'and first of all they 're like six two /.'", "role": "user" }, { "content": "[Explanation]: In accordance with the specified entity type and text, \"first\" is recognized as the \"Ordinal\". \"six\" is recognized as the \"Cardinal\". \"two\" is recognized as the \"Cardinal\". To recap, [Answer]: first: Ordinal; six: Cardinal; two: Cardinal;", "role": "assistant" }, { "content": "Text: 'At the time , Jia Bangyou said , go to a station at the mine 's mouth , women comrades come up first .'", "role": "user" }, { "content": "[Explanation]: Given the provided predefined entity type and text, \"Jia Bangyou\" is identified as the \"Person\" entity. \"first\" is identified as the \"Ordinal\" entity. In summary, [Answer]: Jia Bangyou: Person; first: Ordinal;", "role": "assistant" }, { "content": "Text: '4. Be tough and resilient : avoid the easy route .'", "role": "user" }, { "content": "[Explanation]: In accordance with the specified entity type and text, \"4.\" is recognized as the \"Cardinal\". To recap, [Answer]: 4.: Cardinal;", "role": "assistant" }, { "content": "Text: '-LRB- Jackie Chen / tr. by Brent Heinrich -RRB-'", "role": "user" }, { "content": "[Explanation]: Upon analyzing the context and entity types, \"Jackie Chen\" is a proper name distinguished as a Person, falling under the \"Person\" category. \"Brent Heinrich\" is a proper name distinguished as a Person, falling under the \"Person\" category. Summarizing, [Answer]: Jackie Chen: Person; Brent Heinrich: Person;", "role": "assistant" } ]
ontonote5
[ { "content": "Analyze the following sentence and identify all entities belonging to the following types: [\"Event: such as Hurricane Hugo, the World Cup, Occupation, / 11, the second world war.\", \"Language: such as Arabic, Taiwanese, English.\", \"WorkOfArt: such as Saturday Night With Connie Chung, '' Caddy Shack '', Fear and Loathing in the Corporate Boardrooms, Sixty Minutes, Hardball.\", \"Percentage: such as 15 %, 22 %, 50 %, a provisional 0.6 %.\", \"Cardinal: such as 919, 135 thousand, 29, two.\", \"Person: such as Reggie Jackson, Stern, Ye, Guber, Chang.\", \"Facility: such as the White House, Interstate 880, Potala Palace, The Zhanjiang Port, Wet 'n' Wild.\", \"Law: such as the \" Yalta agreement \", Bankruptcy Code, the First Amendment, Superfund, Chapter 11.\", \"GPE: such as Hangzhou, Ireland, Kirghizia, Rome, Calgary.\", \"Ordinal: such as first, second, third.\", \"Money: such as $ 13.4 billion, US$ 7, 1,000, $ 10 billion, 600 million US dollars.\", \"Location: such as Jupiter, Europe, Eastern Europe.\", \"NORP: such as Bulgarian, French, Republican, Israeli, Americans.\", \"Quantity: such as 7,839 metric tons, 200 mph, twenty - five thousand uh feet, two, 500 or so kilometers.\", \"Organization: such as the White House, al - Jazeera TV, NATO, Senate, Jinchuan Company.\"].\n\nSentence: <text>\n\nIf none of the entities match the given entity types, output \"None.\"Make analysis according to the sentence and give the answer. Please give the answer in the form \"[Answer]: {entity}: {type}; \".\n\nText: 'In blindly striking out after 9 / 11 -- a reflexive , grandly opportunistic , richly self - satisfying political act in America -- without seriously understanding the politics or history of either country , he plunged the Pentagon into blundering , plundering occupations that made the nightmares of 2007 and beyond nearly inevitable .'", "role": "user" }, { "content": "[Explanation]: Based on the given predefined entity type and text: \"9 / 11\" represents the \"Event\". \"America\" represents the \"GPE\". \"Pentagon\" represents the \"Organization\". To sum up, [Answer]: 9 / 11: Event; America: GPE; Pentagon: Organization;", "role": "assistant" }, { "content": "Text: 'I mean , that 's for two'", "role": "user" }, { "content": "[Explanation]: Based on the given predefined entity type and text: \"two\" represents the \"Cardinal\". To sum up, [Answer]: two: Cardinal;", "role": "assistant" }, { "content": "Text: 'Formal proceedings are now underway to prosecute Mr. Arivalo and the owners of the Jessica .'", "role": "user" }, { "content": "[Explanation]: Given the provided predefined entity type and text, \"Arivalo\" is identified as the \"Person\" entity. In summary, [Answer]: Arivalo: Person;", "role": "assistant" }, { "content": "Text: 'and first of all they 're like six two /.'", "role": "user" }, { "content": "[Explanation]: In accordance with the specified entity type and text, \"first\" is recognized as the \"Ordinal\". \"six\" is recognized as the \"Cardinal\". \"two\" is recognized as the \"Cardinal\". To recap, [Answer]: first: Ordinal; six: Cardinal; two: Cardinal;", "role": "assistant" }, { "content": "Text: 'At the time , Jia Bangyou said , go to a station at the mine 's mouth , women comrades come up first .'", "role": "user" }, { "content": "[Explanation]: Given the provided predefined entity type and text, \"Jia Bangyou\" is identified as the \"Person\" entity. \"first\" is identified as the \"Ordinal\" entity. In summary, [Answer]: Jia Bangyou: Person; first: Ordinal;", "role": "assistant" }, { "content": "Text: '4. Be tough and resilient : avoid the easy route .'", "role": "user" }, { "content": "[Explanation]: In accordance with the specified entity type and text, \"4.\" is recognized as the \"Cardinal\". To recap, [Answer]: 4.: Cardinal;", "role": "assistant" }, { "content": "Text: '-LRB- Jackie Chen / tr. by Brent Heinrich -RRB-'", "role": "user" }, { "content": "[Explanation]: In accordance with the specified entity type and text, \"Jackie Chen\" is recognized as the \"Person\". \"Brent Heinrich\" is recognized as the \"Person\". To recap, [Answer]: Jackie Chen: Person; Brent Heinrich: Person;", "role": "assistant" } ]
22727
[ { "content": "Analyze the following sentence and identify all entities belonging to the following types: [\"Event: such as Hurricane Hugo, the World Cup, Occupation, / 11, the second world war.\", \"Language: such as Arabic, Taiwanese, English.\", \"WorkOfArt: such as Saturday Night With Connie Chung, '' Caddy Shack '', Fear and Loathing in the Corporate Boardrooms, Sixty Minutes, Hardball.\", \"Percentage: such as 15 %, 22 %, 50 %, a provisional 0.6 %.\", \"Cardinal: such as 919, 135 thousand, 29, two.\", \"Person: such as Reggie Jackson, Stern, Ye, Guber, Chang.\", \"Facility: such as the White House, Interstate 880, Potala Palace, The Zhanjiang Port, Wet 'n' Wild.\", \"Law: such as the \" Yalta agreement \", Bankruptcy Code, the First Amendment, Superfund, Chapter 11.\", \"GPE: such as Hangzhou, Ireland, Kirghizia, Rome, Calgary.\", \"Ordinal: such as first, second, third.\", \"Money: such as $ 13.4 billion, US$ 7, 1,000, $ 10 billion, 600 million US dollars.\", \"Location: such as Jupiter, Europe, Eastern Europe.\", \"NORP: such as Bulgarian, French, Republican, Israeli, Americans.\", \"Quantity: such as 7,839 metric tons, 200 mph, twenty - five thousand uh feet, two, 500 or so kilometers.\", \"Organization: such as the White House, al - Jazeera TV, NATO, Senate, Jinchuan Company.\"].\n\nSentence: <text>\n\nIf none of the entities match the given entity types, output \"None.\"Make analysis according to the sentence and give the answer. Please give the answer in the form \"[Answer]: {entity}: {type}; \".\n\nText: 'In blindly striking out after 9 / 11 -- a reflexive , grandly opportunistic , richly self - satisfying political act in America -- without seriously understanding the politics or history of either country , he plunged the Pentagon into blundering , plundering occupations that made the nightmares of 2007 and beyond nearly inevitable .'", "role": "user" }, { "content": "[Explanation]: Based on the given predefined entity type and text: \"9 / 11\" represents the \"Event\". \"America\" represents the \"GPE\". \"Pentagon\" represents the \"Organization\". To sum up, [Answer]: 9 / 11: Event; America: GPE; Pentagon: Organization;", "role": "assistant" }, { "content": "Text: 'I mean , that 's for two'", "role": "user" }, { "content": "[Explanation]: Based on the given predefined entity type and text: \"two\" represents the \"Cardinal\". To sum up, [Answer]: two: Cardinal;", "role": "assistant" }, { "content": "Text: 'Formal proceedings are now underway to prosecute Mr. Arivalo and the owners of the Jessica .'", "role": "user" }, { "content": "[Explanation]: Given the provided predefined entity type and text, \"Arivalo\" is identified as the \"Person\" entity. In summary, [Answer]: Arivalo: Person;", "role": "assistant" }, { "content": "Text: 'and first of all they 're like six two /.'", "role": "user" }, { "content": "[Explanation]: In accordance with the specified entity type and text, \"first\" is recognized as the \"Ordinal\". \"six\" is recognized as the \"Cardinal\". \"two\" is recognized as the \"Cardinal\". To recap, [Answer]: first: Ordinal; six: Cardinal; two: Cardinal;", "role": "assistant" }, { "content": "Text: 'At the time , Jia Bangyou said , go to a station at the mine 's mouth , women comrades come up first .'", "role": "user" }, { "content": "[Explanation]: Given the provided predefined entity type and text, \"Jia Bangyou\" is identified as the \"Person\" entity. \"first\" is identified as the \"Ordinal\" entity. In summary, [Answer]: Jia Bangyou: Person; first: Ordinal;", "role": "assistant" }, { "content": "Text: '4. Be tough and resilient : avoid the easy route .'", "role": "user" }, { "content": "[Explanation]: In accordance with the specified entity type and text, \"4.\" is recognized as the \"Cardinal\". To recap, [Answer]: 4.: Cardinal;", "role": "assistant" }, { "content": "Text: '-LRB- Jackie Chen / tr. by Brent Heinrich -RRB-'", "role": "user" }, { "content": "[Explanation]: The given sentence contains two entities that are classified as follows:\n1. \"Jackie Chen\": This entity is classified as a \"Person\" because it has the name \"Jackie Chen,\" which is recognized as a human name and fits the type of entities that can be correctly associated with individuals.\n2. \"-LRB- Jackie Chen / tr. by Brent Heinrich -RRB-\": This entity is a combination of two entities: \"Jackie Chen\" and \"Brent Heinrich.\" The first part (\"Jackie Chen\") matches the \"Person\" entity category due to its classification as a name that identifies a specific individual, while the second part (\"by Brent Heinrich\") likely belongs to the \"Person\" category by the same reasoning. [Answer]: Jackie Chen: Person; -LRB- Jackie Chen / tr. by Brent Heinrich -RRB-: Person;", "role": "assistant" } ]
[ { "content": "Given the context \"Text: 'The 2011 anti-cuts protest in London, also known as the March for the Alternative, was a demonstration held in central London on 26 March 2011. Organised by the Trades Union Congress (TUC), it was a protest march against planned public spending cuts by the Conservative-Liberal Democrat coalition government that was formed in May 2010. Various sources estimated that the demonstration was attended by between 250,000 and 500,000 people. It was described as the largest protest in the United Kingdom since the 15 February 2003 anti-Iraq War protest and the largest union-organised rally in London since the Second World War. Demonstrators marched from the Thames Embankment, via the Houses of Parliament, to Hyde Park where a rally took place with speakers including the TUC general secretary Brendan Barber and leader of the opposition Ed Miliband, who addressed the assembled crowds. Several independent protesting groups, some of whom had moved from the main march, assembled further north in the heart of London's West End, where shops and banks were vandalised and some individuals clashed with police.Further <event> clashes </event> were reported later in Trafalgar Square . 201 people were arrested, and 66 were injured, including 31 police officers.'\", provide a list of potential [\"'Patient' means 'The other party hostile to the Agent, the entity involved in conflicts with the Agent.' For example, 'Henry III', 'the British mainland', 'winners', 'police', 'IMU'.\", \"'Agent' means 'The subject or party that initiates or causes hostilities or conflicts.' For example, 'Edwin Flavell', 'Alfonso XI', 'the XXI Corps', 'French Mediterranean Fleet', 'the Native American Modoc people'.\", \"'Location' means 'The location and position where Agent is when carrying out hostile and conflicting actions.' For example, 'cape barfleur on the french coast of the english channel', 'cove', 'Argentina', 'Falklands', 'Lens'.\"], if any. If there are no <options>, output \"There are no potential <options> mentioned.\".Please give the answer in the form \"[Answer]: {word}: {role}; \".", "role": "user" }, { "content": "[Answer]: police: Patient; Trafalgar Square: Location; Several independent protesting groups: Agent;", "role": "assistant" } ]
maven-eae
[ { "content": "Given the context \"Text: 'The 2011 anti-cuts protest in London, also known as the March for the Alternative, was a demonstration held in central London on 26 March 2011. Organised by the Trades Union Congress (TUC), it was a protest march against planned public spending cuts by the Conservative-Liberal Democrat coalition government that was formed in May 2010. Various sources estimated that the demonstration was attended by between 250,000 and 500,000 people. It was described as the largest protest in the United Kingdom since the 15 February 2003 anti-Iraq War protest and the largest union-organised rally in London since the Second World War. Demonstrators marched from the Thames Embankment, via the Houses of Parliament, to Hyde Park where a rally took place with speakers including the TUC general secretary Brendan Barber and leader of the opposition Ed Miliband, who addressed the assembled crowds. Several independent protesting groups, some of whom had moved from the main march, assembled further north in the heart of London's West End, where shops and banks were vandalised and some individuals clashed with police.Further <event> clashes </event> were reported later in Trafalgar Square . 201 people were arrested, and 66 were injured, including 31 police officers.'\", provide a list of potential [\"'Patient' means 'The other party hostile to the Agent, the entity involved in conflicts with the Agent.' For example, 'Henry III', 'the British mainland', 'winners', 'police', 'IMU'.\", \"'Agent' means 'The subject or party that initiates or causes hostilities or conflicts.' For example, 'Edwin Flavell', 'Alfonso XI', 'the XXI Corps', 'French Mediterranean Fleet', 'the Native American Modoc people'.\", \"'Location' means 'The location and position where Agent is when carrying out hostile and conflicting actions.' For example, 'cape barfleur on the french coast of the english channel', 'cove', 'Argentina', 'Falklands', 'Lens'.\"], if any. If there are no <options>, output \"There are no potential <options> mentioned.\".Please give the answer in the form \"[Answer]: {word}: {role}; \".", "role": "user" }, { "content": "[Answer]: police: Patient; Trafalgar Square: Location; Several independent protesting groups: Agent;", "role": "assistant" } ]
4499
[ { "content": "Given the context \"Text: 'The 2011 anti-cuts protest in London, also known as the March for the Alternative, was a demonstration held in central London on 26 March 2011. Organised by the Trades Union Congress (TUC), it was a protest march against planned public spending cuts by the Conservative-Liberal Democrat coalition government that was formed in May 2010. Various sources estimated that the demonstration was attended by between 250,000 and 500,000 people. It was described as the largest protest in the United Kingdom since the 15 February 2003 anti-Iraq War protest and the largest union-organised rally in London since the Second World War. Demonstrators marched from the Thames Embankment, via the Houses of Parliament, to Hyde Park where a rally took place with speakers including the TUC general secretary Brendan Barber and leader of the opposition Ed Miliband, who addressed the assembled crowds. Several independent protesting groups, some of whom had moved from the main march, assembled further north in the heart of London's West End, where shops and banks were vandalised and some individuals clashed with police.Further <event> clashes </event> were reported later in Trafalgar Square . 201 people were arrested, and 66 were injured, including 31 police officers.'\", provide a list of potential [\"'Patient' means 'The other party hostile to the Agent, the entity involved in conflicts with the Agent.' For example, 'Henry III', 'the British mainland', 'winners', 'police', 'IMU'.\", \"'Agent' means 'The subject or party that initiates or causes hostilities or conflicts.' For example, 'Edwin Flavell', 'Alfonso XI', 'the XXI Corps', 'French Mediterranean Fleet', 'the Native American Modoc people'.\", \"'Location' means 'The location and position where Agent is when carrying out hostile and conflicting actions.' For example, 'cape barfleur on the french coast of the english channel', 'cove', 'Argentina', 'Falklands', 'Lens'.\"], if any. If there are no <options>, output \"There are no potential <options> mentioned.\".Please give the answer in the form \"[Answer]: {word}: {role}; \".", "role": "user" }, { "content": "[Answer]: Trafalgar Square: Patient; demonstrators: Agent; police: Patient;", "role": "assistant" } ]
[ { "content": "[\"instrument: such as bomb, Russian air forces, their little boats, car, strangled.\", \"target: such as English fans, civilians, what little territory these rebels controlled, Israeli, Hasakah province.\", \"attacker: such as explosion, She, Hackers, Coalition, A man.\", \"artifact: such as his wallet, plane, planes, power, \" her turn \".\", \"place: such as New York City ’s Times Square, Cyprus, Deir Ezzor, Charleston, Syria.\"]\n\n<text>\n\nLet's do event argument extraction.First explain your thoughts and then give the answer. Please give the answer in the form \"[Answer]: {word}: {role}; \".\n\nText: '( CNN ) Regime <event> airstrikes </event>on a school complex in northwestern Syria killed at least 35 people , including 20 children , the Syria Civil Defense volunteer rescue group said , in what could be one of the deadliest strikes yet on a school in the nation 's five - year war , according to the UN . The death toll is expected to rise as dozens of others were injured in the Wednesday attacks , said Majd Khalaf , a communications officer with the rescue group , also known as the White Helmets . Another rescuer told the activist - run SMART News Agency that around 50 children were leaving the front door when the strikes hit .'", "role": "user" }, { "content": "[Explanation]: In the given context, the event \"airstrikes\" is associated with the event type \"conflict.attack\".In the given context, the event \"airstrikes\" is associated with the event type \"conflict.attack\".In the given context, the event \"airstrikes\" is associated with the event type \"conflict.attack\".In the given context, the event \"airstrikes\" is associated with the event type \"conflict.attack\".[Answer]: Regime: attacker; school complex: target; airstrikes: instrument; Syria: place;", "role": "assistant" }, { "content": "Text: '[ Hundreds attend vigil for slain DNC staffer ] Rich was shot twice in the back as he walked to his townhouse about 4:20 a.m. Nothing was taken , but police have said attempted <event> robbery </event>is their leading theory for a motive , noting a spike in robberies in the neighborhood in the preceding weeks . WikiLeaks released the trove of emails later that month , on July 22 . Rich , 27 , had worked for the DNC for two years and helped develop a computer program to make it easier for people to find polling places on Election Day .'", "role": "user" }, { "content": "[Explanation]: According to the context, the event \"robbery\" is correlated with the event type \"conflict.attack\".According to the context, the event \"robbery\" is correlated with the event type \"conflict.attack\".[Answer]: he: target; neighborhood: place;", "role": "assistant" }, { "content": "Text: 'When Berezovsky openly criticized Putin ’s anti - democratic behavior , particularly his push against press freedom and the Kremlin ’s posture during the sinking of the Kursk submarine in August 2000 , the new president moved to seize the oligarch ’s assets in Russia . Berezovsky went into self - imposed exile in London . After losing a major court battle with another Russian oligarch — Roman Abramovich — Berezovsky <event> hanged </event>himself in 2013 . Like Berezovsky , Zygar is himself a victim of Putin and his Kremlin handlers . He is the founding editor - in - chief of the independent Dozhd news channel , which came to prominence in 2011 as the only network to cover the massive protests against Putin .'", "role": "user" }, { "content": "[Explanation]: In the given context, the event \"hanged\" is connected to the event type \"conflict.attack\".In the given context, the event \"hanged\" is connected to the event type \"conflict.attack\".[Answer]: Berezovsky: attacker; himself: target;", "role": "assistant" }, { "content": "Text: 'The DNC breach occurred around the same time as breaches of US government systems at the State Department and the White House . Analysts from the NSA and FBI investigators found signatures in those breaches that led them to other intrusions outside the government , including at the DNC . Investigators have tracked the IP addresses and other data from the DNC hack and found they matched <event> attacks </event>around the same time at other federal agencies . Evidence points to at least one group of hackers that is familiar to US counterintelligence , officials said . This same group was involved in hacking into non - classified systems email systems at State , White House and other federal agencies .'", "role": "user" }, { "content": "[Explanation]: In the given context, the event \"attacks\" is connected to the event type \"conflict.attack\".In the given context, the event \"attacks\" is connected to the event type \"conflict.attack\".In the given context, the event \"attacks\" is connected to the event type \"conflict.attack\".[Answer]: hackers: attacker; other federal agencies: target; attacks: instrument;", "role": "assistant" } ]
RAMS-eae
[ { "content": "[\"instrument: such as bomb, Russian air forces, their little boats, car, strangled.\", \"target: such as English fans, civilians, what little territory these rebels controlled, Israeli, Hasakah province.\", \"attacker: such as explosion, She, Hackers, Coalition, A man.\", \"artifact: such as his wallet, plane, planes, power, \" her turn \".\", \"place: such as New York City ’s Times Square, Cyprus, Deir Ezzor, Charleston, Syria.\"]\n\n<text>\n\nLet's do event argument extraction.First explain your thoughts and then give the answer. Please give the answer in the form \"[Answer]: {word}: {role}; \".\n\nText: '( CNN ) Regime <event> airstrikes </event>on a school complex in northwestern Syria killed at least 35 people , including 20 children , the Syria Civil Defense volunteer rescue group said , in what could be one of the deadliest strikes yet on a school in the nation 's five - year war , according to the UN . The death toll is expected to rise as dozens of others were injured in the Wednesday attacks , said Majd Khalaf , a communications officer with the rescue group , also known as the White Helmets . Another rescuer told the activist - run SMART News Agency that around 50 children were leaving the front door when the strikes hit .'", "role": "user" }, { "content": "[Explanation]: In the given context, the event \"airstrikes\" is associated with the event type \"conflict.attack\".In the given context, the event \"airstrikes\" is associated with the event type \"conflict.attack\".In the given context, the event \"airstrikes\" is associated with the event type \"conflict.attack\".In the given context, the event \"airstrikes\" is associated with the event type \"conflict.attack\".[Answer]: Regime: attacker; school complex: target; airstrikes: instrument; Syria: place;", "role": "assistant" }, { "content": "Text: '[ Hundreds attend vigil for slain DNC staffer ] Rich was shot twice in the back as he walked to his townhouse about 4:20 a.m. Nothing was taken , but police have said attempted <event> robbery </event>is their leading theory for a motive , noting a spike in robberies in the neighborhood in the preceding weeks . WikiLeaks released the trove of emails later that month , on July 22 . Rich , 27 , had worked for the DNC for two years and helped develop a computer program to make it easier for people to find polling places on Election Day .'", "role": "user" }, { "content": "[Explanation]: According to the context, the event \"robbery\" is correlated with the event type \"conflict.attack\".According to the context, the event \"robbery\" is correlated with the event type \"conflict.attack\".[Answer]: he: target; neighborhood: place;", "role": "assistant" }, { "content": "Text: 'When Berezovsky openly criticized Putin ’s anti - democratic behavior , particularly his push against press freedom and the Kremlin ’s posture during the sinking of the Kursk submarine in August 2000 , the new president moved to seize the oligarch ’s assets in Russia . Berezovsky went into self - imposed exile in London . After losing a major court battle with another Russian oligarch — Roman Abramovich — Berezovsky <event> hanged </event>himself in 2013 . Like Berezovsky , Zygar is himself a victim of Putin and his Kremlin handlers . He is the founding editor - in - chief of the independent Dozhd news channel , which came to prominence in 2011 as the only network to cover the massive protests against Putin .'", "role": "user" }, { "content": "[Explanation]: In the given context, the event \"hanged\" is connected to the event type \"conflict.attack\".In the given context, the event \"hanged\" is connected to the event type \"conflict.attack\".[Answer]: Berezovsky: attacker; himself: target;", "role": "assistant" }, { "content": "Text: 'The DNC breach occurred around the same time as breaches of US government systems at the State Department and the White House . Analysts from the NSA and FBI investigators found signatures in those breaches that led them to other intrusions outside the government , including at the DNC . Investigators have tracked the IP addresses and other data from the DNC hack and found they matched <event> attacks </event>around the same time at other federal agencies . Evidence points to at least one group of hackers that is familiar to US counterintelligence , officials said . This same group was involved in hacking into non - classified systems email systems at State , White House and other federal agencies .'", "role": "user" }, { "content": "[Explanation]: Within the provided context, the event \"attacks\" is linked to the event type \"conflict.attack\".Within the provided context, the event \"attacks\" is linked to the event type \"conflict.attack\".Within the provided context, the event \"attacks\" is linked to the event type \"conflict.attack\".[Answer]: hackers: attacker; federal agencies: target; hack: instrument;", "role": "assistant" } ]
7234
[ { "content": "[\"instrument: such as bomb, Russian air forces, their little boats, car, strangled.\", \"target: such as English fans, civilians, what little territory these rebels controlled, Israeli, Hasakah province.\", \"attacker: such as explosion, She, Hackers, Coalition, A man.\", \"artifact: such as his wallet, plane, planes, power, \" her turn \".\", \"place: such as New York City ’s Times Square, Cyprus, Deir Ezzor, Charleston, Syria.\"]\n\n<text>\n\nLet's do event argument extraction.First explain your thoughts and then give the answer. Please give the answer in the form \"[Answer]: {word}: {role}; \".\n\nText: '( CNN ) Regime <event> airstrikes </event>on a school complex in northwestern Syria killed at least 35 people , including 20 children , the Syria Civil Defense volunteer rescue group said , in what could be one of the deadliest strikes yet on a school in the nation 's five - year war , according to the UN . The death toll is expected to rise as dozens of others were injured in the Wednesday attacks , said Majd Khalaf , a communications officer with the rescue group , also known as the White Helmets . Another rescuer told the activist - run SMART News Agency that around 50 children were leaving the front door when the strikes hit .'", "role": "user" }, { "content": "[Explanation]: In the given context, the event \"airstrikes\" is associated with the event type \"conflict.attack\".In the given context, the event \"airstrikes\" is associated with the event type \"conflict.attack\".In the given context, the event \"airstrikes\" is associated with the event type \"conflict.attack\".In the given context, the event \"airstrikes\" is associated with the event type \"conflict.attack\".[Answer]: Regime: attacker; school complex: target; airstrikes: instrument; Syria: place;", "role": "assistant" }, { "content": "Text: '[ Hundreds attend vigil for slain DNC staffer ] Rich was shot twice in the back as he walked to his townhouse about 4:20 a.m. Nothing was taken , but police have said attempted <event> robbery </event>is their leading theory for a motive , noting a spike in robberies in the neighborhood in the preceding weeks . WikiLeaks released the trove of emails later that month , on July 22 . Rich , 27 , had worked for the DNC for two years and helped develop a computer program to make it easier for people to find polling places on Election Day .'", "role": "user" }, { "content": "[Explanation]: According to the context, the event \"robbery\" is correlated with the event type \"conflict.attack\".According to the context, the event \"robbery\" is correlated with the event type \"conflict.attack\".[Answer]: he: target; neighborhood: place;", "role": "assistant" }, { "content": "Text: 'When Berezovsky openly criticized Putin ’s anti - democratic behavior , particularly his push against press freedom and the Kremlin ’s posture during the sinking of the Kursk submarine in August 2000 , the new president moved to seize the oligarch ’s assets in Russia . Berezovsky went into self - imposed exile in London . After losing a major court battle with another Russian oligarch — Roman Abramovich — Berezovsky <event> hanged </event>himself in 2013 . Like Berezovsky , Zygar is himself a victim of Putin and his Kremlin handlers . He is the founding editor - in - chief of the independent Dozhd news channel , which came to prominence in 2011 as the only network to cover the massive protests against Putin .'", "role": "user" }, { "content": "[Explanation]: In the given context, the event \"hanged\" is connected to the event type \"conflict.attack\".In the given context, the event \"hanged\" is connected to the event type \"conflict.attack\".[Answer]: Berezovsky: attacker; himself: target;", "role": "assistant" }, { "content": "Text: 'The DNC breach occurred around the same time as breaches of US government systems at the State Department and the White House . Analysts from the NSA and FBI investigators found signatures in those breaches that led them to other intrusions outside the government , including at the DNC . Investigators have tracked the IP addresses and other data from the DNC hack and found they matched <event> attacks </event>around the same time at other federal agencies . Evidence points to at least one group of hackers that is familiar to US counterintelligence , officials said . This same group was involved in hacking into non - classified systems email systems at State , White House and other federal agencies .'", "role": "user" }, { "content": "[Explanation]: According to the context, the event \"attacks\" is correlated with the event type \"conflict.attack\".According to the context, the event \"attacks\" is correlated with the event type \"conflict.attack\".[Answer]: Federal agencies: target; federal agencies: place;", "role": "assistant" } ]
[ { "content": "Event Temporal Relation Extraction\n\n<text>\n\n[ends-on: 'A(Event/Timex) terminates at the time of B(Event/Timex).', begins-on: 'A(Event/Timex) begins at the time of B(Event/Timex).', before: 'A(Event/Timex) is earlier than B(Event/Timex).', contains: 'the time range of A(Event/Timex) contains the time range of B(Event/Timex).', overlap: 'the time range of A(Event/Timex) overlaps with the time range of B(Event/Timex).', simultaneous: 'the time range of A(Event/Timex) is the same as the time range of B(Event/Timex).']Please give the analysis first. Please give the answer in the list form \"[Answer]: [{relation}]\".\n\nText: 'Document: Hurricane Shary was a short-lived tropical cyclone that stayed over the open waters of the North Atlantic in <Timex> late October 2010 </Timex>. The eighteenth named storm and eleventh hurricane of the unusually active 2010 Atlantic hurricane season, Shary originated from a weak area of convection over the Central Atlantic and became a tropical storm on October 28. Initially not expected to exceed wind speeds of 50 mph (85 km/h), Shary defied predictions and became a minimal hurricane on October 30, <Event> passing </Event> well east of Bermuda. Unfavorable conditions subsequently impacted the storm, and Shary quickly began to lose tropical characteristics. Later that day, Shary degenerated into a post-tropical cyclone, and the final advisory by the National Hurricane Center was issued. The storm brushed Bermuda with light rain, and wind gusts reached no more than 35 mph (55 km/h) as it made its closest point of approach to the territory.\n\nThe first event/\"Timex\": <Timex> late October 2010 </Timex>\nThe second event/\"Timex\": <Event> passing </Event>\n'", "role": "user" }, { "content": "[Explanation]: In the context of event relation extraction, the two specific time points are identified as \"late October 2010\" (classified as \"DATE\") and \"passing\" (classified as \"Motion_directional\"). the time range of late October 2010 contains the time range of passing. [Answer]: ['contains']", "role": "assistant" }, { "content": "Text: 'Document: Typhoon Maemi (), known in the Philippines as Typhoon Pogi, was the most powerful typhoon to strike South Korea since record-keeping began in the country in 1904. Maemi formed on September 4, 2003 from a disturbance in a monsoon trough in the western Pacific Ocean. It slowly intensified into Tropical Storm Maemi while moving northwestward, becoming a typhoon on September 8. That day, favorable conditions facilitated more rapid strengthening; the storm developed a well-defined eye and reached peak maximum sustained winds of 195 km/h (120 mph). While near peak intensity, Maemi decelerated and began turning to the north-northeast. Soon after, the eyewall passed over the Japanese island of Miyako-jima on September 10 and produced an air pressure reading of , the fourth-lowest recorded in the nation. Due to warm waters, Maemi was able to maintain much of its intensity before it made landfall just west of Busan, South Korea, on September 12. The typhoon became extratropical in the East Sea(Sea of Japan) the next day, although its remnants persisted for several days, lashing northern Japan with strong winds. The typhoon first affected the Ryukyu Islands of Japan. On Miyako-jima, strong winds damaged 104 buildings and left 95% of residents without power. Maemi caused heavy rainfall there, with rates of in an hour and in 24 hours, the latter setting a record. One person died on Miyako-jima after being <Event> struck </Event> by airborne debris. Elsewhere in Japan, the storm caused flights to be canceled, and rainfall-induced landslides blocked roads. There were two other deaths in Japan, and damage totaled ¥11.3 billion yen (JPY, $96 million USD). Damage was heaviest in South Korea, particularly where it moved ashore. On Jeju Island, Maemi produced a peak wind gust of 216 km/h (134 mph) and a minimum pressure of , both setting records for the country; the pressure reading broke the longstanding lowest pressure set by Typhoon Sarah in 1959. Winds in Busan near the landfall location reached 154 km/h (96 mph), the second-highest on record. The port there sustained heavy damage, restricting exports in the months following the storm. Nationwide, the high winds destroyed about 5,000 houses and <Event> damaged </Event> 13,000 homes and businesses, leaving 25,000 people homeless. About 1.47 million households lost power, and widespread crop damage occurred, resulting in the poorest rice harvest in 23 years. Across South Korea, Maemi killed 117 people, and overall damage totaled ₩5.52 trillion won (KRW, US$4.8 billion).\n\nThe first event/\"Timex\": <Event> struck </Event>\nThe second event/\"Timex\": <Event> damaged </Event>\n'", "role": "user" }, { "content": "[Explanation]: The analysis indicates that the events \"struck\" (belonging to the category \"Attack\") and \"damaged\" (belonging to the category \"Damaging\") have a relationship. struck is earlier than damaged. [Answer]: ['before']", "role": "assistant" } ]
MAVEN-ERE
[ { "content": "Event Temporal Relation Extraction\n\n<text>\n\n[ends-on: 'A(Event/Timex) terminates at the time of B(Event/Timex).', begins-on: 'A(Event/Timex) begins at the time of B(Event/Timex).', before: 'A(Event/Timex) is earlier than B(Event/Timex).', contains: 'the time range of A(Event/Timex) contains the time range of B(Event/Timex).', overlap: 'the time range of A(Event/Timex) overlaps with the time range of B(Event/Timex).', simultaneous: 'the time range of A(Event/Timex) is the same as the time range of B(Event/Timex).']Please give the analysis first. Please give the answer in the list form \"[Answer]: [{relation}]\".\n\nText: 'Document: Hurricane Shary was a short-lived tropical cyclone that stayed over the open waters of the North Atlantic in <Timex> late October 2010 </Timex>. The eighteenth named storm and eleventh hurricane of the unusually active 2010 Atlantic hurricane season, Shary originated from a weak area of convection over the Central Atlantic and became a tropical storm on October 28. Initially not expected to exceed wind speeds of 50 mph (85 km/h), Shary defied predictions and became a minimal hurricane on October 30, <Event> passing </Event> well east of Bermuda. Unfavorable conditions subsequently impacted the storm, and Shary quickly began to lose tropical characteristics. Later that day, Shary degenerated into a post-tropical cyclone, and the final advisory by the National Hurricane Center was issued. The storm brushed Bermuda with light rain, and wind gusts reached no more than 35 mph (55 km/h) as it made its closest point of approach to the territory.\n\nThe first event/\"Timex\": <Timex> late October 2010 </Timex>\nThe second event/\"Timex\": <Event> passing </Event>\n'", "role": "user" }, { "content": "[Explanation]: In the context of event relation extraction, the two specific time points are identified as \"late October 2010\" (classified as \"DATE\") and \"passing\" (classified as \"Motion_directional\"). the time range of late October 2010 contains the time range of passing. [Answer]: ['contains']", "role": "assistant" }, { "content": "Text: 'Document: Typhoon Maemi (), known in the Philippines as Typhoon Pogi, was the most powerful typhoon to strike South Korea since record-keeping began in the country in 1904. Maemi formed on September 4, 2003 from a disturbance in a monsoon trough in the western Pacific Ocean. It slowly intensified into Tropical Storm Maemi while moving northwestward, becoming a typhoon on September 8. That day, favorable conditions facilitated more rapid strengthening; the storm developed a well-defined eye and reached peak maximum sustained winds of 195 km/h (120 mph). While near peak intensity, Maemi decelerated and began turning to the north-northeast. Soon after, the eyewall passed over the Japanese island of Miyako-jima on September 10 and produced an air pressure reading of , the fourth-lowest recorded in the nation. Due to warm waters, Maemi was able to maintain much of its intensity before it made landfall just west of Busan, South Korea, on September 12. The typhoon became extratropical in the East Sea(Sea of Japan) the next day, although its remnants persisted for several days, lashing northern Japan with strong winds. The typhoon first affected the Ryukyu Islands of Japan. On Miyako-jima, strong winds damaged 104 buildings and left 95% of residents without power. Maemi caused heavy rainfall there, with rates of in an hour and in 24 hours, the latter setting a record. One person died on Miyako-jima after being <Event> struck </Event> by airborne debris. Elsewhere in Japan, the storm caused flights to be canceled, and rainfall-induced landslides blocked roads. There were two other deaths in Japan, and damage totaled ¥11.3 billion yen (JPY, $96 million USD). Damage was heaviest in South Korea, particularly where it moved ashore. On Jeju Island, Maemi produced a peak wind gust of 216 km/h (134 mph) and a minimum pressure of , both setting records for the country; the pressure reading broke the longstanding lowest pressure set by Typhoon Sarah in 1959. Winds in Busan near the landfall location reached 154 km/h (96 mph), the second-highest on record. The port there sustained heavy damage, restricting exports in the months following the storm. Nationwide, the high winds destroyed about 5,000 houses and <Event> damaged </Event> 13,000 homes and businesses, leaving 25,000 people homeless. About 1.47 million households lost power, and widespread crop damage occurred, resulting in the poorest rice harvest in 23 years. Across South Korea, Maemi killed 117 people, and overall damage totaled ₩5.52 trillion won (KRW, US$4.8 billion).\n\nThe first event/\"Timex\": <Event> struck </Event>\nThe second event/\"Timex\": <Event> damaged </Event>\n'", "role": "user" }, { "content": "[Explanation]: The event of being \"struck\" by airborne debris on Miyako-jima due to Typhoon Maemi is mentioned prior to the description of the widespread damage caused by the typhoon, including the damaging of 13,000 homes and businesses. This sequence suggests that the specific incident of someone being struck by debris occurred before the broader assessment of damage, leading to the conclusion that the \"struck\" event happened earlier than the \"damaged\" event. [Answer]: ['before']", "role": "assistant" } ]
814
[ { "content": "Event Temporal Relation Extraction\n\n<text>\n\n[ends-on: 'A(Event/Timex) terminates at the time of B(Event/Timex).', begins-on: 'A(Event/Timex) begins at the time of B(Event/Timex).', before: 'A(Event/Timex) is earlier than B(Event/Timex).', contains: 'the time range of A(Event/Timex) contains the time range of B(Event/Timex).', overlap: 'the time range of A(Event/Timex) overlaps with the time range of B(Event/Timex).', simultaneous: 'the time range of A(Event/Timex) is the same as the time range of B(Event/Timex).']Please give the analysis first. Please give the answer in the list form \"[Answer]: [{relation}]\".\n\nText: 'Document: Hurricane Shary was a short-lived tropical cyclone that stayed over the open waters of the North Atlantic in <Timex> late October 2010 </Timex>. The eighteenth named storm and eleventh hurricane of the unusually active 2010 Atlantic hurricane season, Shary originated from a weak area of convection over the Central Atlantic and became a tropical storm on October 28. Initially not expected to exceed wind speeds of 50 mph (85 km/h), Shary defied predictions and became a minimal hurricane on October 30, <Event> passing </Event> well east of Bermuda. Unfavorable conditions subsequently impacted the storm, and Shary quickly began to lose tropical characteristics. Later that day, Shary degenerated into a post-tropical cyclone, and the final advisory by the National Hurricane Center was issued. The storm brushed Bermuda with light rain, and wind gusts reached no more than 35 mph (55 km/h) as it made its closest point of approach to the territory.\n\nThe first event/\"Timex\": <Timex> late October 2010 </Timex>\nThe second event/\"Timex\": <Event> passing </Event>\n'", "role": "user" }, { "content": "[Explanation]: In the context of event relation extraction, the two specific time points are identified as \"late October 2010\" (classified as \"DATE\") and \"passing\" (classified as \"Motion_directional\"). the time range of late October 2010 contains the time range of passing. [Answer]: ['contains']", "role": "assistant" }, { "content": "Text: 'Document: Typhoon Maemi (), known in the Philippines as Typhoon Pogi, was the most powerful typhoon to strike South Korea since record-keeping began in the country in 1904. Maemi formed on September 4, 2003 from a disturbance in a monsoon trough in the western Pacific Ocean. It slowly intensified into Tropical Storm Maemi while moving northwestward, becoming a typhoon on September 8. That day, favorable conditions facilitated more rapid strengthening; the storm developed a well-defined eye and reached peak maximum sustained winds of 195 km/h (120 mph). While near peak intensity, Maemi decelerated and began turning to the north-northeast. Soon after, the eyewall passed over the Japanese island of Miyako-jima on September 10 and produced an air pressure reading of , the fourth-lowest recorded in the nation. Due to warm waters, Maemi was able to maintain much of its intensity before it made landfall just west of Busan, South Korea, on September 12. The typhoon became extratropical in the East Sea(Sea of Japan) the next day, although its remnants persisted for several days, lashing northern Japan with strong winds. The typhoon first affected the Ryukyu Islands of Japan. On Miyako-jima, strong winds damaged 104 buildings and left 95% of residents without power. Maemi caused heavy rainfall there, with rates of in an hour and in 24 hours, the latter setting a record. One person died on Miyako-jima after being <Event> struck </Event> by airborne debris. Elsewhere in Japan, the storm caused flights to be canceled, and rainfall-induced landslides blocked roads. There were two other deaths in Japan, and damage totaled ¥11.3 billion yen (JPY, $96 million USD). Damage was heaviest in South Korea, particularly where it moved ashore. On Jeju Island, Maemi produced a peak wind gust of 216 km/h (134 mph) and a minimum pressure of , both setting records for the country; the pressure reading broke the longstanding lowest pressure set by Typhoon Sarah in 1959. Winds in Busan near the landfall location reached 154 km/h (96 mph), the second-highest on record. The port there sustained heavy damage, restricting exports in the months following the storm. Nationwide, the high winds destroyed about 5,000 houses and <Event> damaged </Event> 13,000 homes and businesses, leaving 25,000 people homeless. About 1.47 million households lost power, and widespread crop damage occurred, resulting in the poorest rice harvest in 23 years. Across South Korea, Maemi killed 117 people, and overall damage totaled ₩5.52 trillion won (KRW, US$4.8 billion).\n\nThe first event/\"Timex\": <Event> struck </Event>\nThe second event/\"Timex\": <Event> damaged </Event>\n'", "role": "user" }, { "content": "[Explanation]: The interaction between the events \"struck\" (designated as \"Attack\") and \"damaged\" (designated as \"Damaging\") is scrutinized. struck ends on the time of damaged. [Answer]: [{'relation': 'ends-on'}, {'relation': 'ends-on'}]", "role": "assistant" } ]
[ { "content": "Given the context \"Text: 'The 1942 Matagorda hurricane was the most intense and costliest tropical cyclone of the 1942 Atlantic hurricane season. The second tropical storm and hurricane, as well as the first major hurricane of the year, it originated from a tropical wave near the island of St. Lucia on August 21. Moving generally westward across the Caribbean Sea, the storm remained weak for much of its early existence. However, it gradually intensified, and reach hurricane strength south of Jamaica on August 25 before coming ashore the Yucatán Peninsula late on August 27. Once in the Gulf of Mexico, the hurricane quickly strengthened, and attained its peak intensity on August 29 as a Category 3 hurricane with winds of 115 mph (185 km/h). However, nearing the Texas Gulf Coast, the storm waned in intensity, and was only a Category 1 hurricane by the time it made a final landfall near Matagorda, Texas on August 30. Continuing inland, the hurricane weakened, and dissipated into a remnant low on August 31. At the hurricane's first landfall near the northeastern tip of the Yucatán Peninsula, little information was documented on the storm's impacts. However, as the storm approached the Texas coast, widespread evacuations took place, including the evacuation of roughly 50,000 people from Galveston, Texas alone. Upon making landfall, the hurricane caused extensive damage in coastal regions. In Matagorda, storm surge peaking at inundated the city and damaged many others. Strong winds from the storm wreaked havoc as far inland as San Antonio, Texas. The winds leveled numerous buildings and uprooted trees, in addition to causing widespread power outages. Crops in the areas affected saw large losses, particularly the rice crop.Rainfall associated with the storm was relatively light , due to the hurricane 's rapid <event> forward </event> motion once inland , peaking at in Woodsboro , Texas . Overall, the storm caused $26.5 million in damages and eight deaths.'\", provide a list of potential [Destination, Purpose, Sender, Origin, Content], if any. If there are no <options>, output \"There are no potential <options> mentioned.\".First explain your thoughts and then give the answer. Please give the answer in the form \"[Answer]: {word}: {role}; \".", "role": "user" }, { "content": "[Explanation]: The question asks to identify the key components related to the event of a hurricane moving forward described in a given text. The listed options include Destination, Purpose, Sender, Origin, and Content as potential roles for understanding the context of the event. These options reflect information related to where or why the hurricane began, what specifically is being moved and how, and who might be involved in or affected by the event. The textcite identifying information and describing the 1942 Matagorda hurricane, focusing on its origins, intensification, path, and damage as it moved inland towards Texas and beyond. This helps determine the roles related to the event by filling in relevant details from the source text. [Answer]: the hurricane: Sender; inland: Destination; Woodsboro: Destination;", "role": "assistant" } ]
maven-eae
[ { "content": "Given the context \"Text: 'The 1942 Matagorda hurricane was the most intense and costliest tropical cyclone of the 1942 Atlantic hurricane season. The second tropical storm and hurricane, as well as the first major hurricane of the year, it originated from a tropical wave near the island of St. Lucia on August 21. Moving generally westward across the Caribbean Sea, the storm remained weak for much of its early existence. However, it gradually intensified, and reach hurricane strength south of Jamaica on August 25 before coming ashore the Yucatán Peninsula late on August 27. Once in the Gulf of Mexico, the hurricane quickly strengthened, and attained its peak intensity on August 29 as a Category 3 hurricane with winds of 115 mph (185 km/h). However, nearing the Texas Gulf Coast, the storm waned in intensity, and was only a Category 1 hurricane by the time it made a final landfall near Matagorda, Texas on August 30. Continuing inland, the hurricane weakened, and dissipated into a remnant low on August 31. At the hurricane's first landfall near the northeastern tip of the Yucatán Peninsula, little information was documented on the storm's impacts. However, as the storm approached the Texas coast, widespread evacuations took place, including the evacuation of roughly 50,000 people from Galveston, Texas alone. Upon making landfall, the hurricane caused extensive damage in coastal regions. In Matagorda, storm surge peaking at inundated the city and damaged many others. Strong winds from the storm wreaked havoc as far inland as San Antonio, Texas. The winds leveled numerous buildings and uprooted trees, in addition to causing widespread power outages. Crops in the areas affected saw large losses, particularly the rice crop.Rainfall associated with the storm was relatively light , due to the hurricane 's rapid <event> forward </event> motion once inland , peaking at in Woodsboro , Texas . Overall, the storm caused $26.5 million in damages and eight deaths.'\", provide a list of potential [Destination, Purpose, Sender, Origin, Content], if any. If there are no <options>, output \"There are no potential <options> mentioned.\".First explain your thoughts and then give the answer. Please give the answer in the form \"[Answer]: {word}: {role}; \".", "role": "user" }, { "content": "[Explanation]: Within the provided context, the event \"forward\" is linked to the event type \"Sending\".Within the provided context, the event \"forward\" is linked to the event type \"Sending\".Within the provided context, the event \"forward\" is linked to the event type \"Sending\".[Answer]: Texas: Destination; Texas: Content; Matagorda hurricane: Sender;", "role": "assistant" } ]
58678
[ { "content": "Given the context \"Text: 'The 1942 Matagorda hurricane was the most intense and costliest tropical cyclone of the 1942 Atlantic hurricane season. The second tropical storm and hurricane, as well as the first major hurricane of the year, it originated from a tropical wave near the island of St. Lucia on August 21. Moving generally westward across the Caribbean Sea, the storm remained weak for much of its early existence. However, it gradually intensified, and reach hurricane strength south of Jamaica on August 25 before coming ashore the Yucatán Peninsula late on August 27. Once in the Gulf of Mexico, the hurricane quickly strengthened, and attained its peak intensity on August 29 as a Category 3 hurricane with winds of 115 mph (185 km/h). However, nearing the Texas Gulf Coast, the storm waned in intensity, and was only a Category 1 hurricane by the time it made a final landfall near Matagorda, Texas on August 30. Continuing inland, the hurricane weakened, and dissipated into a remnant low on August 31. At the hurricane's first landfall near the northeastern tip of the Yucatán Peninsula, little information was documented on the storm's impacts. However, as the storm approached the Texas coast, widespread evacuations took place, including the evacuation of roughly 50,000 people from Galveston, Texas alone. Upon making landfall, the hurricane caused extensive damage in coastal regions. In Matagorda, storm surge peaking at inundated the city and damaged many others. Strong winds from the storm wreaked havoc as far inland as San Antonio, Texas. The winds leveled numerous buildings and uprooted trees, in addition to causing widespread power outages. Crops in the areas affected saw large losses, particularly the rice crop.Rainfall associated with the storm was relatively light , due to the hurricane 's rapid <event> forward </event> motion once inland , peaking at in Woodsboro , Texas . Overall, the storm caused $26.5 million in damages and eight deaths.'\", provide a list of potential [Destination, Purpose, Sender, Origin, Content], if any. If there are no <options>, output \"There are no potential <options> mentioned.\".First explain your thoughts and then give the answer. Please give the answer in the form \"[Answer]: {word}: {role}; \".", "role": "user" }, { "content": "[Explanation]: In the given context, the event \"forward\" is connected to the event type \"Motion\".[Answer]: inland: Origin;", "role": "assistant" } ]
[ { "content": "The essence of Open Information Extraction involves parsing the given text to identify and extract relational tuples, which include subjects, predicates, objects, and potentially, temporal and spatial information. If no such tuples are present in the text, your response should be 'Extraction of tuples is not possible.'Please explain first. Please give the answer in the tuple form \"[Answer]: ({predicate}; {subject}; {object}; {time}; {location})\n\". If one or more of the last three elements does not exist, it can be omitted.\nText: 'The academic study of salvation is called soteriology .'", "role": "user" }, { "content": "[Explanation]: The text illustrates a connection between \"The academic study of salvation\" and \"soteriology\" via \"is called\".[Answer]: (is called; The academic study of salvation; soteriology);", "role": "assistant" } ]
openie4
[ { "content": "The essence of Open Information Extraction involves parsing the given text to identify and extract relational tuples, which include subjects, predicates, objects, and potentially, temporal and spatial information. If no such tuples are present in the text, your response should be 'Extraction of tuples is not possible.'Please explain first. Please give the answer in the tuple form \"[Answer]: ({predicate}; {subject}; {object}; {time}; {location})\n\". If one or more of the last three elements does not exist, it can be omitted.\nText: 'The academic study of salvation is called soteriology .'", "role": "user" }, { "content": "[Explanation]: The text presents a definitional relationship where \"The academic study of salvation\" is defined as \"soteriology\". The predicate \"is called\" serves as the connector between the subject and object, indicating a naming or identification action. There are no temporal or spatial details provided in the text, hence \"None\" is specified for both time and location. [Answer]: (is called; The academic study of salvation; soteriology);", "role": "assistant" } ]
173764
[ { "content": "The essence of Open Information Extraction involves parsing the given text to identify and extract relational tuples, which include subjects, predicates, objects, and potentially, temporal and spatial information. If no such tuples are present in the text, your response should be 'Extraction of tuples is not possible.'Please explain first. Please give the answer in the tuple form \"[Answer]: ({predicate}; {subject}; {object}; {time}; {location})\n\". If one or more of the last three elements does not exist, it can be omitted.\nText: 'The academic study of salvation is called soteriology .'", "role": "user" }, { "content": "[Explanation]: The narrative thread between \"The academic study of salvation\" and \"soteriology\" is sewn by \"is called\".The narrative thread between \"The academic study of salvation\" and \"soteriology\" is sewn by \"is called\".[Answer]: (is called; The academic study of salvation; soteriology); (is called; The academic study of salvation; soteriology);", "role": "assistant" } ]

No dataset card yet

New: Create and edit this dataset card directly on the website!

Contribute a Dataset Card
Downloads last month
10
Add dataset card