Triple

T866400
Position Surface form Disambiguated ID Type / Status
Subject Fortune 500 E18711 entity
Predicate relatedList P37 FINISHED
Object Global 500 E19928 NE FINISHED

How this triple was built (2 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: Global 500 | Statement: [Fortune 500, relatedList, Global 500]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Global 500
Context triple: [Fortune 500, relatedList, Global 500]
  • A. Fortune 500
    Fortune 500 is an annual ranking by Fortune magazine that lists the 500 largest U.S. companies by total revenue.
  • B. Fortune 1000
    Fortune 1000 is an annual ranking by Fortune magazine that lists the 1,000 largest U.S. companies based on their revenues.
  • C. World’s Most Admired Companies
    World’s Most Admired Companies is an annual Fortune magazine ranking that highlights global corporations recognized for their outstanding reputation and corporate performance.
  • D. Fortune Global 500 list of largest global corporations by revenue chosen
    The Fortune Global 500 list of largest global corporations by revenue is an annual ranking that catalogs and compares the world’s biggest companies based on their total revenues for the preceding fiscal year.
  • E. S&P Global 1200
    The S&P Global 1200 is a broad, multinational equity index designed to represent the performance of major stock markets around the world.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a4938ce8688190a24bdfef82ba7d21 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac7cb1888190a46c16b30256451b completed March 1, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7a3c9e7ec819081d58634fe0efdcb completed March 4, 2026, 3:15 a.m.
Created at: March 1, 2026, 7:39 p.m.