Triple

T17444676
Position Surface form Disambiguated ID Type / Status
Subject Tasks, Automation, and the Rise in US Wage Inequality E424749 entity
Predicate focusesOn P31 FINISHED
Object United States labor market NE NERFINISHED

How this triple was built (3 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: United States labor market | Statement: [Tasks, Automation, and the Rise in US Wage Inequality, focusesOn, United States labor market]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: United States labor market
Context triple: [Tasks, Automation, and the Rise in US Wage Inequality, focusesOn, United States labor market]
  • A. United States economy
    The United States economy is a highly developed, mixed-market system that is the world’s largest by nominal GDP and a central driver of global trade, finance, and innovation.
  • B. labor economics
    Labor economics is a branch of economics that studies how labor markets function, including the determination of wages, employment, and the allocation of workers to jobs.
  • C. United States labor law
    United States labor law is the body of federal and state statutes, regulations, and case law that governs the rights and obligations of workers, employers, and unions in the United States, including issues such as wages, hours, workplace safety, discrimination, and collective bargaining.
  • D. Labor Bureau
    The Labor Bureau is a governmental unit responsible for enforcing labor laws and protecting workers’ rights within its jurisdiction.
  • E. Bureau of Labor Statistics
    The Bureau of Labor Statistics is the principal U.S. federal agency responsible for collecting, analyzing, and disseminating essential economic data on labor market activity, prices, and productivity.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: United States labor market
Target entity description: The United States labor market is the dynamic system of employment, wages, and workforce participation in the U.S., shaped by technological change, globalization, policy, and shifting demand for skills.
  • A. United States economy
    The United States economy is a highly developed, mixed-market system that is the world’s largest by nominal GDP and a central driver of global trade, finance, and innovation.
  • B. labor economics
    Labor economics is a branch of economics that studies how labor markets function, including the determination of wages, employment, and the allocation of workers to jobs.
  • C. United States labor law
    United States labor law is the body of federal and state statutes, regulations, and case law that governs the rights and obligations of workers, employers, and unions in the United States, including issues such as wages, hours, workplace safety, discrimination, and collective bargaining.
  • D. Labor Bureau
    The Labor Bureau is a governmental unit responsible for enforcing labor laws and protecting workers’ rights within its jurisdiction.
  • E. Bureau of Labor Statistics
    The Bureau of Labor Statistics is the principal U.S. federal agency responsible for collecting, analyzing, and disseminating essential economic data on labor market activity, prices, and productivity.
  • F. None of above. chosen

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d889db0ba481908402409af3b37917 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e44ffa2d84819086474649eba1065c completed April 19, 2026, 3:46 a.m.
Created at: April 10, 2026, 5:47 a.m.