Triple

T6353377
Position Surface form Disambiguated ID Type / Status
Subject Wedge Mountain E142930 entity
Predicate locatedNear P294 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: [Wedge Mountain, locatedNear, Whistler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Whistler
Context triple: [Wedge Mountain, locatedNear, Whistler]
  • A. Whistler
    Whistler is a small unincorporated community located in Mobile County, Alabama, known historically as a railroad town.
  • B. Whistler chosen
    Whistler is a renowned resort town in British Columbia, Canada, famous for its world-class skiing, mountain biking, and outdoor recreation.
  • 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_69c008d6dcbc8190aa1c2f1fd8916b42 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c067dec4a88190992d57a0cc7782ad completed March 22, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c60459a7c081909b551dcf1735bf75 completed March 27, 2026, 4:15 a.m.
Created at: March 22, 2026, 4:31 p.m.