Triple

T8408232
Position Surface form Disambiguated ID Type / Status
Subject Berlin, Vermont E198555 entity
Predicate isNear P350 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: [Berlin, Vermont, isNear, Barre, Vermont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barre, Vermont
Context triple: [Berlin, Vermont, isNear, 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_69ca8310df9c8190b25f16161cca3e41 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb8315a8a8819097f6da11b909b527 completed March 31, 2026, 8:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d5434600c48190b584b6e791c4f3d6 completed April 7, 2026, 5:47 p.m.
Created at: March 30, 2026, 6:05 p.m.