Triple

T8148491
Position Surface form Disambiguated ID Type / Status
Subject Sea-to-Sky Corridor E190272 entity
Predicate stretchesTo P1673 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: [Sea-to-Sky Corridor, stretchesTo, Whistler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Whistler
Context triple: [Sea-to-Sky Corridor, stretchesTo, 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_69ca82be7ba8819087de0147e9292c83 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb447e74e081908df774edb2134209 completed March 31, 2026, 3:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69cced3839b4819081a811fcebc51ff7 completed April 1, 2026, 10:02 a.m.
Created at: March 30, 2026, 5:36 p.m.