Triple

T13282390
Position Surface form Disambiguated ID Type / Status
Subject Lebanon, New Hampshire E316355 entity
Predicate borders P224 FINISHED
Object Hartford, Vermont E471928 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: Hartford, Vermont | Statement: [Lebanon, New Hampshire, borders, Hartford, Vermont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hartford, Vermont
Context triple: [Lebanon, New Hampshire, borders, Hartford, Vermont]
  • A. Hartford, Vermont chosen
    Hartford, Vermont is a town in Windsor County known for encompassing several villages, including the historic railroad hub of White River Junction, at the junction of the White and Connecticut Rivers.
  • B. New Haven, Vermont
    New Haven, Vermont is a small rural town in Addison County known for its agricultural landscape and views of the Green Mountains.
  • C. Newport, Vermont
    Newport, Vermont is a small city in northern Vermont located on the southern shore of Lake Memphremagog near the Canadian border.
  • D. 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.
  • E. Waterbury, Vermont
    Waterbury, Vermont is a small New England town known for its scenic Green Mountain setting, craft beer and food scene, and attractions like the Ben & Jerry’s factory.
  • 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_69d806b349908190a9a61dd9323bf153 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9904507588190a303686d176ec3e1 completed April 11, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe64e2991c81908f474fe07a6ba10a completed May 8, 2026, 10:34 p.m.
Created at: April 9, 2026, 9:27 p.m.