Triple

T13664852
Position Surface form Disambiguated ID Type / Status
Subject central Vermont E327090 entity
Predicate contains P35 FINISHED
Object Cabot, Vermont E232701 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: Cabot, Vermont | Statement: [central Vermont, contains, Cabot, Vermont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cabot, Vermont
Context triple: [central Vermont, contains, Cabot, Vermont]
  • A. Cabot, Vermont chosen
    Cabot, Vermont is a small rural town in northern Vermont known for its agricultural heritage and as the namesake home of Cabot Creamery.
  • B. St. George, Vermont
    St. George, Vermont is a small town in northwestern Vermont known for being the least populous town in Chittenden County.
  • C. Hancock, Vermont
    Hancock, Vermont is a small rural town nestled in the Green Mountains of central Vermont, known for its scenic landscapes and outdoor recreation opportunities.
  • D. Warren, Vermont
    Warren, Vermont is a small New England town in the Mad River Valley known for its scenic mountain setting, outdoor recreation, and proximity to Sugarbush Resort.
  • E. Burke, Vermont
    Burke, Vermont is a small town in northeastern Vermont known for its rural character, outdoor recreation, and proximity to Burke Mountain ski area.
  • 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_69dbc622a07c81909ef7fb55e719dd9a completed April 12, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee5da6a2081909dcc9785598e1196 completed May 9, 2026, 7:44 a.m.
Created at: April 9, 2026, 9:52 p.m.