Triple

T12370884
Position Surface form Disambiguated ID Type / Status
Subject Blackcomb Mountain E294996 entity
Predicate hasViewOf P854 FINISHED
Object Whistler Valley 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 Valley | Statement: [Blackcomb Mountain, hasViewOf, Whistler Valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Whistler Valley
Context triple: [Blackcomb Mountain, hasViewOf, Whistler Valley]
  • 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. Whistler
    Whistler is a surname most famously associated with the American-born artist James McNeill Whistler and his relatives, including Beatrice Whistler.
  • E. Whitemark
    Whitemark is the principal township and administrative centre of Flinders Island in Tasmania, Australia.
  • 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_69d6ab6d8a4081908636601e69ddf262 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93fa7c9ec81908c685612994543e3 completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a533a2788190b885c000c29f4e87 completed May 3, 2026, 1:30 a.m.
Created at: April 8, 2026, 9:54 p.m.