Triple

T19518804
Position Surface form Disambiguated ID Type / Status
Subject Vermont Route 62 E488349 entity
Predicate servesCity P82 FINISHED
Object Berlin, 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: Berlin, Vermont | Statement: [Vermont Route 62, servesCity, Berlin, Vermont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berlin, Vermont
Context triple: [Vermont Route 62, servesCity, Berlin, Vermont]
  • A. Berlin, Vermont chosen
    Berlin, Vermont is a small New England town in central Vermont known for its rural character and proximity to the state capital, Montpelier.
  • B. Burlington, Vermont
    Burlington, Vermont is the largest city in Vermont, known for its vibrant arts scene, waterfront on Lake Champlain, and home to the University of Vermont.
  • C. Berlin, New Hampshire
    Berlin, New Hampshire is a small industrial city in northern New Hampshire historically known for its paper mills and outdoor recreation along the Androscoggin River.
  • D. Brandon, Vermont
    Brandon, Vermont is a small historic town in Rutland County known for its 19th-century architecture, marble and iron industry heritage, and picturesque New England setting.
  • E. 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.
  • 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_69d8e8da8bec819081f400199491ccc3 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6359edd508190afd68739de676ed7 completed April 20, 2026, 2:18 p.m.
Created at: April 10, 2026, 1:40 p.m.