Triple

T23491038
Position Surface form Disambiguated ID Type / Status
Subject Broadmoor E570672 entity
Predicate hasProvinceCode P3446 FINISHED
Object BC 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: BC | Statement: [Broadmoor, hasProvinceCode, BC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BC
Context triple: [Broadmoor, hasProvinceCode, BC]
  • A. BC
    BC is the IATA airline designator assigned to Skymark Airlines, a Japanese low-cost carrier.
  • B. BC
    BC is the Business Constituency, a group within the ICANN community that represents the interests of commercial Internet users in domain name policy development.
  • C. BC
    BC is a private Jesuit research university located in Chestnut Hill, Massachusetts, known for its strong liberal arts programs and competitive NCAA Division I athletics.
  • D. BC chosen
    BC is the Canadian province of British Columbia, located on the west coast of Canada with Vancouver as its largest city.
  • E. BC
    BC is the vehicle registration code for Bacău County in Romania.
  • 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_69e245b0b01481908f636939bedd804c completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a7dc631c819099027e3a1c755a66 completed April 29, 2026, 6:40 a.m.
Created at: April 17, 2026, 6:04 p.m.