Triple

T7463153
Position Surface form Disambiguated ID Type / Status
Subject Whistler Olympic Park E176300 entity
Predicate locatedIn P40 FINISHED
Object Whistler E292096 NE 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: Whistler | Statement: [Whistler Olympic Park, locatedIn, Whistler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Whistler
Context triple: [Whistler Olympic Park, locatedIn, Whistler]
  • A. Whistler chosen
    Whistler is a renowned resort town in British Columbia, Canada, famous for its world-class skiing, mountain biking, and outdoor recreation.
  • B. Whistler
    Whistler is a small unincorporated community located in Mobile County, Alabama, known historically as a railroad town.
  • C. Whistler
    Whistler was the internal codename used by Microsoft during the development of the Windows XP operating system.
  • D. Whitemark
    Whitemark is the principal township and administrative centre of Flinders Island in Tasmania, Australia.
  • E. Revelstoke, British Columbia
    Revelstoke, British Columbia is a small mountain city in southeastern Canada known for its world-class skiing, outdoor recreation, and dramatic setting amid the Selkirk and Monashee ranges.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c69f21632481908bf83f6c6da897e3 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f3d80ae08190ba383066cf0cb2ce completed March 27, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c845f494b481908c1860ad1662fa92 completed March 28, 2026, 9:19 p.m.
Created at: March 27, 2026, 3:39 p.m.