Triple

T18314047
Position Surface form Disambiguated ID Type / Status
Subject Whitingham, Vermont E438707 entity
Predicate borders P224 FINISHED
Object Wilmington, Vermont NE NERFINISHED

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: Wilmington, Vermont | Statement: [Whitingham, Vermont, borders, Wilmington, Vermont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wilmington, Vermont
Context triple: [Whitingham, Vermont, borders, Wilmington, Vermont]
  • A. Wilmington, Vermont chosen
    Wilmington, Vermont is a small town in southern Vermont’s Green Mountains known as a gateway to the Mount Snow ski resort and a hub for year-round outdoor recreation.
  • B. Richmond, Vermont
    Richmond, Vermont is a small New England town in northwestern Vermont known for its rural character, historic architecture, and proximity to the Green Mountains.
  • C. Williston, Vermont
    Williston, Vermont is a suburban town in northwestern Vermont known for its rapid commercial growth and proximity to Burlington.
  • D. Newark, Vermont
    Newark, Vermont is a small rural town in northeastern Vermont known for its forested landscape, outdoor recreation, and quiet, close-knit community.
  • E. Williamstown, Vermont
    Williamstown, Vermont is a small rural town in central Vermont known for its scenic landscape and traditional New England character.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b916a2d081909e249e4902f6aad9 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5021b7e2c81908cd3b6684ab899f6 completed April 19, 2026, 4:26 p.m.
Created at: April 10, 2026, 10:36 a.m.