Triple

T10899318
Position Surface form Disambiguated ID Type / Status
Subject U.S. Route 302 E257395 entity
Predicate passesThrough P225 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: [U.S. Route 302, passesThrough, Barre, Vermont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barre, Vermont
Context triple: [U.S. Route 302, passesThrough, 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. Fairfield, Vermont
    Fairfield, Vermont is a small rural town in Franklin County best known as the birthplace of the 21st U.S. president, Chester A. Arthur.
  • 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_69d6aa8550c8819095508a2ed9acf3db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d761a2392c8190bc2c2359d63eff7a completed April 9, 2026, 8:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69e4f34d1e108190ad281dae6c92634e completed April 19, 2026, 3:22 p.m.
Created at: April 8, 2026, 9:21 p.m.