Triple

T2004166
Position Surface form Disambiguated ID Type / Status
Subject Commonwealth Games sports program E43540 entity
Predicate includesExamplesOfSports P15165 FINISHED
Object athletics 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: athletics | Statement: [Commonwealth Games sports program, includesExamplesOfSports, athletics]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: includesExamplesOfSports
Context triple: [Commonwealth Games sports program, includesExamplesOfSports, athletics]
  • A. includesSport chosen
    Indicates that one entity contains, offers, or features a particular sport as part of its activities, content, or composition.
  • B. appliesToSports
    Indicates that something is relevant, appropriate, or specifically intended for use in the context of sports.
  • C. usedInSport
    Indicates that something (such as an object, technique, or concept) is employed or utilized within the context of a particular sport.
  • D. representsInSport
    Indicates that one entity serves as an official representative of another entity within the context of a particular sport or sporting domain.
  • E. sportsInvolvement
    Indicates the nature or extent of an entity’s participation in, association with, or role within a sport or sporting activity.
  • 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_69a88715dbbc8190b2299e29e955d997 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb8833a54819096301f3ea29ff3a1 completed March 7, 2026, 5:32 a.m.
PD Predicate disambiguation batch_69abb79e63c08190982c8b44a557266f completed March 7, 2026, 5:29 a.m.
Created at: March 4, 2026, 7:37 p.m.