Triple

T13664860
Position Surface form Disambiguated ID Type / Status
Subject central Vermont E327090 entity
Predicate contains P35 FINISHED
Object Tunbridge, Vermont E827161 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: Tunbridge, Vermont | Statement: [central Vermont, contains, Tunbridge, Vermont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tunbridge, Vermont
Context triple: [central Vermont, contains, Tunbridge, Vermont]
  • A. Tunbridge, Vermont chosen
    Tunbridge, Vermont is a small rural town in Orange County known for its historic agricultural character and the long-running Tunbridge World’s Fair.
  • B. Townshend, Vermont
    Townshend, Vermont is a small rural town in southeastern Vermont known for its scenic Green Mountain setting and traditional New England character.
  • C. Bridgewater, Vermont
    Bridgewater, Vermont is a small rural town in central Vermont known for its scenic Green Mountain setting and historic village character.
  • D. Underhill, Vermont
    Underhill, Vermont is a small rural town in northwestern Vermont known for its scenic landscapes near Mount Mansfield and its location within the Burlington metropolitan area.
  • E. Benson, Vermont
    Benson, Vermont is a small rural town in Rutland County known for its agricultural landscape and location near the western border of the state.
  • 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_69ff2189c1cc819080dc296b17e42374 completed May 9, 2026, 11:59 a.m.
Created at: April 9, 2026, 9:52 p.m.