Triple

T4907760
Position Surface form Disambiguated ID Type / Status
Subject Isaac Barré E109952 entity
Predicate inspiredNameOf P63 FINISHED
Object Barre, Vermont E73526 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: Barre, Vermont | Statement: [Isaac Barré, inspiredNameOf, Barre, Vermont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barre, Vermont
Context triple: [Isaac Barré, inspiredNameOf, Barre, Vermont]
  • A. Barre, Vermont chosen
    Barre, Vermont is a small city in central Vermont known historically for its granite quarries and stonecutting industry.
  • B. Bennington, Vermont
    Bennington, Vermont is a historic town in southwestern Vermont known for its role in the American Revolutionary War and its prominent Revolutionary War monument.
  • 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. 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.
  • E. 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.
  • 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_69bd441180708190ba42ffb44fea533a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e7452d481909078a0027e2a4566 completed March 20, 2026, 3:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6fe098b081908e17d6d349b76364 completed March 21, 2026, 10:16 a.m.
Created at: March 20, 2026, 1:29 p.m.