Triple

T6765485
Position Surface form Disambiguated ID Type / Status
Subject Prince's Island Park E154707 entity
Predicate near P350 FINISHED
Object Calgary city centre E135449 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: Calgary city centre | Statement: [Prince's Island Park, near, Calgary city centre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Calgary city centre
Context triple: [Prince's Island Park, near, Calgary city centre]
  • A. Downtown Calgary chosen
    Downtown Calgary is the central business district and primary commercial, cultural, and entertainment hub of the city of Calgary, Alberta, Canada.
  • B. Calgary
    Calgary is a major city in the province of Alberta, Canada, known for its oil and gas industry, proximity to the Rocky Mountains, and the annual Calgary Stampede.
  • C. Calgary
    Calgary is a small coastal village on the Isle of Mull in Scotland, known for its scenic white-sand beach and surrounding natural beauty.
  • D. Edmonton
    Edmonton is a historic suburban area in the London Borough of Enfield, formerly part of the county of Middlesex in England.
  • E. Edmonton
    Edmonton is the capital city of the Canadian province of Alberta, known for its major role in the energy sector and its extensive river valley park system.
  • 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_69c688109c1c8190added9a221292af0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d22ed30881909e1bfcfb8cf175a2 completed March 27, 2026, 6:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c91b0ad9188190ad74c33802f50783 completed March 29, 2026, 12:28 p.m.
Created at: March 27, 2026, 2:12 p.m.