Triple

T22917652
Position Surface form Disambiguated ID Type / Status
Subject Tristar Gym E568775 entity
Predicate associatedWithFighterRole P68183 FINISHED
Object UFC champion training 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: UFC champion training | Statement: [Tristar Gym, associatedWithFighterRole, UFC champion training]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithFighterRole
Context triple: [Tristar Gym, associatedWithFighterRole, UFC champion training]
  • A. hasFighter
    Indicates that an entity possesses, controls, or is associated with a fighter (such as a combatant, combat vehicle, or fighting unit).
  • B. roleInUFC chosen
    Indicates the specific capacity or position an entity holds within the context of the Ultimate Fighting Championship (UFC), such as fighter, referee, coach, or official.
  • C. associatedWithCharacterRole
    Indicates that one entity has a connection or linkage to a specific character role played or held by another entity.
  • D. associatedPlayerRole
    Indicates a relationship where a specific role or function is linked to, or held by, a particular player.
  • E. featuredFighter
    Indicates that a particular fighter is highlighted or prominently showcased in a given context or event.
  • 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_69e2458d90c88190a58cead4e781ca6a completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1807b254c8190bb84596dcacaa35e completed April 29, 2026, 3:52 a.m.
PD Predicate disambiguation batch_69ef3b7c5fc081909ac50c5c8569cc19 completed April 27, 2026, 10:33 a.m.
Created at: April 17, 2026, 3:42 p.m.