Triple

T19163656
Position Surface form Disambiguated ID Type / Status
Subject Gypsum, Colorado E469121 entity
Predicate isResidentialCommunityNear P4647 FINISHED
Object Vail Valley NE NERFINISHED

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: Vail Valley | Statement: [Gypsum, Colorado, isResidentialCommunityNear, Vail Valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vail Valley
Context triple: [Gypsum, Colorado, isResidentialCommunityNear, Vail Valley]
  • A. Vail chosen
    Vail is a renowned Colorado mountain town best known for its large ski resort and upscale alpine tourism.
  • B. Vail
    Vail is a surname most notably associated with Alfred Vail, an American inventor who helped develop and commercialize the telegraph and Morse code.
  • C. Sun Valley
    Sun Valley is the internal codename Microsoft used for the major user interface redesign that debuted with Windows 11.
  • D. Sun Valley
    Sun Valley is a working-class neighborhood in the San Fernando Valley region of Los Angeles known for its industrial areas, residential communities, and proximity to major freeways.
  • E. Sun Valley
    Sun Valley is a small village located within the town of East Greenwich in the state of Rhode Island.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd084ff48190ac0f8c46ee722629 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5eebeb9848190ad4ae4c61fa14e08 completed April 20, 2026, 9:15 a.m.
Created at: April 10, 2026, 12:06 p.m.