Triple

T5753575
Position Surface form Disambiguated ID Type / Status
Subject Burlington City Park Carousel E126910 entity
Predicate owner P347 FINISHED
Object City of Burlington E72669 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: City of Burlington | Statement: [Burlington City Park Carousel, owner, City of Burlington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Burlington
Context triple: [Burlington City Park Carousel, owner, City of Burlington]
  • A. city of Burlington
    The city of Burlington is a small rural community in eastern Colorado known as a regional agricultural and service center near the Kansas border.
  • B. Burlington
    Burlington is a mid-sized city in southern Ontario, Canada, located on the shores of Lake Ontario between Toronto and Hamilton.
  • C. Burlington chosen
    Burlington is a historic city in present-day New Jersey that once served as the colonial capital of the Province of New Jersey.
  • D. Burlington
    Burlington is a small city in northwestern Washington State known as a commercial hub for the surrounding Skagit Valley region.
  • E. Burlington
    Burlington is a small, primarily residential town in central Connecticut known for its rural character and access to outdoor recreation areas.
  • 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_69c00832aedc81909899801b141fa3b4 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c029032ba08190ae4062d74ab271ee completed March 22, 2026, 5:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c097ffbf848190ba20a72c676d2c8e completed March 23, 2026, 1:31 a.m.
Created at: March 22, 2026, 3:48 p.m.