Triple

T12908189
Position Surface form Disambiguated ID Type / Status
Subject Peak 8 E308780 entity
Predicate hasOwner P347 FINISHED
Object Vail Resorts E9673 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: Vail Resorts | Statement: [Peak 8, hasOwner, Vail Resorts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vail Resorts
Context triple: [Peak 8, hasOwner, Vail Resorts]
  • A. Vail Resorts chosen
    Vail Resorts is a major American mountain resort company that owns and operates numerous ski areas and related hospitality properties across North America and beyond.
  • B. Montage Mountain Resorts
    Montage Mountain Resorts is a ski and water park destination in Scranton, Pennsylvania, offering year-round outdoor recreation and entertainment.
  • C. Boyne Resorts
    Boyne Resorts is a major American owner and operator of ski and golf resorts across North America.
  • D. Eldorado Resorts
    Eldorado Resorts was a major U.S. casino and hospitality company that grew through acquisitions before merging with Caesars Entertainment to form one of the world’s largest gaming corporations.
  • E. Deer Valley Resort
    Deer Valley Resort is a renowned luxury ski resort in Park City, Utah, known for its upscale amenities, meticulously groomed slopes, and skiers-only policy.
  • 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_69d7bdf92b588190acdf2a2291ac4590 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9719d4d1c8190a2c4f362e1772a73 completed April 10, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8d101e08190b31d6aaaecf96507 completed May 3, 2026, 2:54 a.m.
Created at: April 9, 2026, 5:41 p.m.