Triple

T12255840
Position Surface form Disambiguated ID Type / Status
Subject Whistler E292096 entity
Predicate olympicRole P52749 FINISHED
Object co-host city with Vancouver 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: co-host city with Vancouver | Statement: [Whistler, olympicRole, co-host city with Vancouver]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: olympicRole
Context triple: [Whistler, olympicRole, co-host city with Vancouver]
  • A. OlympicStatus
    Indicates that an entity holds a particular status or role in relation to the Olympic Games (e.g., being an Olympic sport, event, athlete, or host).
  • B. OlympicAthleteFor
    Indicates a relationship where an athlete competes in the Olympic Games representing a specific country, team, or organization.
  • C. representedAtOlympics
    Indicates that an entity served as an official representative (e.g., athlete, team, or delegation) for another entity at a specific edition of the Olympic Games.
  • D. OlympicGoldMedalSport
    Indicates that the subject sport is one in which the object athlete or team has won an Olympic gold medal.
  • E. olympicParticipationType chosen
    Indicates the specific role or category of involvement an entity has in the Olympic Games (e.g., as an athlete, team, official, or other participation type).
  • 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_69d6ab67950c8190be08450a06228c4b completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91d38ee10819093ed41d2954bf4ef completed April 10, 2026, 3:54 p.m.
PD Predicate disambiguation batch_69d91c46dcd88190a263db30804bff36 completed April 10, 2026, 3:50 p.m.
Created at: April 8, 2026, 9:52 p.m.