Triple

T13665150
Position Surface form Disambiguated ID Type / Status
Subject Killington Resort E327097 entity
Predicate locatedIn P40 FINISHED
Object Killington, Vermont E1027394 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: Killington, Vermont | Statement: [Killington Resort, locatedIn, Killington, Vermont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Killington, Vermont
Context triple: [Killington Resort, locatedIn, Killington, Vermont]
  • A. Killington, Vermont chosen
    Killington, Vermont is a mountain town in central Vermont best known for the Killington Resort, one of the largest and most popular ski areas in the eastern United States.
  • B. Whitingham, Vermont
    Whitingham, Vermont is a small rural town in southern Vermont known for its scenic landscapes and historic New England character.
  • C. Marlboro, Vermont
    Marlboro, Vermont is a small rural town in southern Vermont known for its scenic Green Mountain setting and its former Marlboro College campus.
  • D. Killington Resort
    Killington Resort is a major ski and snowboard destination in Vermont, known for its extensive trail network and long winter season.
  • E. Woodstock, Vermont
    Woodstock, Vermont is a historic New England town known for its picturesque village green, classic covered bridges, and well-preserved 19th-century architecture.
  • 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_69d8076d8270819092afc2f0e9c359a8 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc623fcc88190bbad97541c040b7a completed April 12, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78b0ac4c88190ab6f753c6847eb6e completed May 3, 2026, 5:51 p.m.
Created at: April 9, 2026, 9:52 p.m.