Triple

T2651802
Position Surface form Disambiguated ID Type / Status
Subject Vail Resorts, Inc. E53915 entity
Predicate operates P24 FINISHED
Object Mount Snow E61420 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: Mount Snow | Statement: [Vail Resorts, Inc., operates, Mount Snow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Snow
Context triple: [Vail Resorts, Inc., operates, Mount Snow]
  • A. Mount Snow chosen
    Mount Snow is a popular ski resort in southern Vermont known for its extensive terrain, snowmaking, and winter sports facilities.
  • B. Whiteface Mountain
    Whiteface Mountain is a prominent peak in New York’s Adirondack Mountains, known for its ski resort and expansive summit views accessible by a scenic highway.
  • C. Mount Bachelor ski area
    Mount Bachelor ski area is a major ski and snowboard resort in central Oregon known for its extensive terrain, long season, and 360-degree skiing off a dormant volcanic peak.
  • D. Sugarloaf Mountain
    Sugarloaf Mountain is a famous granite peak at the entrance of Guanabara Bay in Rio de Janeiro, Brazil, renowned for its panoramic city and ocean views and its cable car rides.
  • E. Mad River Mountain
    Mad River Mountain is a popular ski and snowboard resort in Ohio known for its extensive snowmaking, varied terrain, and vibrant winter sports scene.
  • 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_69ab495e192081909c77b622e8e7e15a completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd93071248190820197936e3167f7 completed March 7, 2026, 7:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa052c91c8190abfd49dbc62a4448 completed March 10, 2026, 4:38 a.m.
Created at: March 6, 2026, 9:53 p.m.