Triple

T18229641
Position Surface form Disambiguated ID Type / Status
Subject Democracy for America E436510 entity
Predicate headquartersLocation P62 FINISHED
Object Burlington, 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: Burlington, Vermont | Statement: [Democracy for America, headquartersLocation, Burlington, Vermont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burlington, Vermont
Context triple: [Democracy for America, headquartersLocation, Burlington, Vermont]
  • A. Burlington, Vermont chosen
    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.
  • B. Newport, Vermont
    Newport, Vermont is a small city in northern Vermont located on the southern shore of Lake Memphremagog near the Canadian border.
  • C. 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.
  • D. Burlington
    Burlington is a mid-sized city in southern Ontario, Canada, located on the shores of Lake Ontario between Toronto and Hamilton.
  • E. Burlington
    Burlington is a national off-price retail chain in the United States known for selling discounted brand-name clothing, home goods, and accessories.
  • 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_69d8b9103a8081908bbb0836fef10efd completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4f4b1b2108190a5585bbfaf2d295b completed April 19, 2026, 3:28 p.m.
Created at: April 10, 2026, 10:33 a.m.