Triple

T152079
Position Surface form Disambiguated ID Type / Status
Subject Fortune E3452 entity
Predicate producesRanking P4846 FINISHED
Object Fortune 500 list of largest U.S. corporations by revenue LITERAL 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: Fortune 500 list of largest U.S. corporations by revenue | Statement: [Fortune, producesRanking, Fortune 500 list of largest U.S. corporations by revenue]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: producesRanking
Context triple: [Fortune, producesRanking, Fortune 500 list of largest U.S. corporations by revenue]
  • A. selectionRankingEndPoint
    Indicates the position or boundary in an ordered list at which a selection or ranking process concludes.
  • B. peakOutputRanking
    Indicates the relative position of an entity in an ordered list based on its maximum or peak output level.
  • C. rankedAs
    Indicates that one entity is assigned a specific position or level in an ordered ranking relative to others.
  • D. rankedBy chosen
    Indicates that one entity is ordered or assigned a position in a hierarchy or list according to criteria determined or applied by another entity.
  • E. selectionRankingFrequency
    Indicates how often an entity is chosen or ranked in a particular position within a selection or ordering process.
  • F. None of above.

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_69a252868de4819080e21c9938bfe8b6 completed Feb. 28, 2026, 2:27 a.m.
NER Named-entity recognition batch_69a2580f55a88190b37b54ee0ed5ac7c completed Feb. 28, 2026, 2:50 a.m.
PD Predicate disambiguation batch_69a2565adaf48190b68ae4444ff83ccd completed Feb. 28, 2026, 2:43 a.m.
Created at: Feb. 28, 2026, 2:31 a.m.