Triple

T16539801
Position Surface form Disambiguated ID Type / Status
Subject 1968 Winter Olympics E401790 entity
Predicate bidsFrom P31738 FINISHED
Object Calgary E23062 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 | Statement: [1968 Winter Olympics, bidsFrom, Calgary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Calgary
Context triple: [1968 Winter Olympics, bidsFrom, Calgary]
  • A. Calgary chosen
    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.
  • B. 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.
  • C. Kalgary
    Kalgary is a small unincorporated rural community located in Crosby County in the U.S. state of Texas.
  • D. 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.
  • E. Edmonton
    Edmonton is a historic suburban area in the London Borough of Enfield, formerly part of the county of Middlesex in England.
  • 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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3455bd43c8190b01560d4af55a9e0 completed April 18, 2026, 8:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006ed9fa988190892ca20939080f5f completed May 10, 2026, 11:41 a.m.
Created at: April 10, 2026, 5:15 a.m.