Triple

T8981756
Position Surface form Disambiguated ID Type / Status
Subject Mount Fee E214546 entity
Predicate near P350 FINISHED
Object Whistler, British Columbia 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, British Columbia | Statement: [Mount Fee, near, Whistler, British Columbia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Whistler, British Columbia
Context triple: [Mount Fee, near, Whistler, British Columbia]
  • 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. 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.
  • E. Lytton, British Columbia
    Lytton, British Columbia is a small village in the interior of the province known for its location at the confluence of the Fraser and Thompson Rivers and for often recording some of the highest temperatures in Canada.
  • 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_69ca839ea8b88190922c6a326ffcc0d3 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc67a76f748190a4abad5d53d58fa8 completed April 1, 2026, 12:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc974f0f8819085c63deb53b95b80 completed April 3, 2026, 2:06 p.m.
Created at: March 30, 2026, 7:03 p.m.