Here is a description of the Edges Set to be used in our data processing pipeline.
The list is ordered by the frequency of each relationship type found during evaluation:
Elaboration/Expansion
Represents relationships where a positive statement provides additional details or context.Financial Performance
Covers various financial metrics, earnings, and market performance indicators.Company Background
Includes information about the company’s history, operations, or market position.Product/Service Description
Describes features, benefits, or applications of products and services.Market Trends
Discusses industry trends, market dynamics, and economic conditions.Strategic Initiatives
Captures information about company plans, partnerships, and strategic moves.Statistical Data
Provides numerical data, percentages, or other statistical information.Technological Advancements
Relates to innovations, new technologies, or product developments.Comparison
Contrasts or compares different aspects, companies, or time periods.Future Outlook
Refers to predictions or projections about future performance or market conditions.Industry-Specific Information
Focuses on details about particular sectors or industry-specific trends.Regulatory/Legal
Discusses legal matters, regulations, or compliance issues.Environmental/Social Impact
Addresses sustainability, social responsibility, or environmental initiatives.Competitive Positioning
Describes a company’s standing relative to its competitors.Geographic Expansion
Covers company growth or presence in different regions.Cause and Effect
Highlights relationships between actions or events and their consequences.Investment Analysis
Provides investment-related insights or recommendations.Customer/User Impact
Describes how products, services, or company actions affect customers or users.Leadership/Management
Relates to information about company executives, board members, or management changes.Event Details
Provides information about specific events, conferences, or product launches.
This edges set forms a critical part of the data evaluation process, capturing key relationships between entities in our system. Each relationship type is mapped to relevant content in the dataset, helping to structure and understand the information more efficiently.