Triple

T183736
Position Surface form Disambiguated ID Type / Status
Subject Cascadia Cup E3933 entity
Predicate hasParticipantCity P6632 FINISHED
Object Vancouver E9370 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: Vancouver | Statement: [Cascadia Cup, hasParticipantCity, Vancouver]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vancouver
Context triple: [Cascadia Cup, hasParticipantCity, Vancouver]
  • A. Vancouver chosen
    Vancouver is a major coastal city in western Canada known for its scenic natural surroundings, multicultural population, and role as a hub for film, technology, and tourism.
  • B. Victoria, British Columbia
    Victoria, British Columbia is the capital city of the Canadian province of British Columbia, known for its historic architecture, coastal scenery, and mild climate on the southern tip of Vancouver Island.
  • C. 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.
  • 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. Montreal
    Montreal is the largest city in Quebec, Canada, known for its vibrant bilingual culture, historic architecture, and status as a major economic and cultural center.
  • 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_69a25497e2f08190a040f8c6e1842643 completed Feb. 28, 2026, 2:36 a.m.
NER Named-entity recognition batch_69a25bc834388190a93ec1ab0d5946de completed Feb. 28, 2026, 3:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69a389a873d48190ac41ff919027688a completed March 1, 2026, 12:34 a.m.
Created at: Feb. 28, 2026, 2:40 a.m.