Triple

T13664851
Position Surface form Disambiguated ID Type / Status
Subject central Vermont E327090 entity
Predicate contains P35 FINISHED
Object Roxbury, Vermont E219879 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: Roxbury, Vermont | Statement: [central Vermont, contains, Roxbury, Vermont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roxbury, Vermont
Context triple: [central Vermont, contains, Roxbury, Vermont]
  • A. Roxbury, Vermont chosen
    Roxbury, Vermont is a small rural town in central Vermont known for its mountainous landscape, forests, and outdoor recreation opportunities.
  • B. Duxbury, Vermont
    Duxbury, Vermont is a small rural town in central Vermont known for its forested landscape and proximity to the Green Mountains.
  • C. Royalton, Vermont
    Royalton, Vermont is a small New England town in central Vermont known for its rural landscape and as the home of Vermont Law and Graduate School.
  • D. Wheelock, Vermont
    Wheelock, Vermont is a small rural town located in Caledonia County in the northeastern region of the state.
  • E. Waltham, Vermont
    Waltham, Vermont is a small rural town located in Addison County in the western part 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_69fedd19164481909c2f35fbebf6150e completed May 9, 2026, 7:07 a.m.
Created at: April 9, 2026, 9:52 p.m.