Triple

T22907803
Position Surface form Disambiguated ID Type / Status
Subject Central Cheetahs E568499 entity
Predicate alsoKnownAs P39 FINISHED
Object Cheetahs NE NERFINISHED

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: Cheetahs | Statement: [Central Cheetahs, alsoKnownAs, Cheetahs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cheetahs
Context triple: [Central Cheetahs, alsoKnownAs, Cheetahs]
  • A. Cheetahs
    Cheetahs is a South African domestic cricket team that has competed in the country’s provincial and franchise competitions.
  • B. Cheetahs chosen
    The Cheetahs are a South African professional rugby union team based in Bloemfontein that competes in domestic and international competitions.
  • C. Cheetah
    Cheetah is the internal codename for Mac OS X 10.0, the first major release of Apple's Mac OS X operating system.
  • D. Cheetah
    Cheetah is a classic DC Comics supervillain and archenemy of Wonder Woman, often depicted as a woman cursed or empowered with the speed, ferocity, and appearance of a cheetah.
  • E. Cheetah
    The cheetah is the world’s fastest land animal, a slender, spotted big cat renowned for its incredible acceleration and high-speed chases across open grasslands.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e2458cd9e48190943ad2e34485d939 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18071b9ec81908922d5f046f7930a completed April 29, 2026, 3:52 a.m.
Created at: April 17, 2026, 3:42 p.m.