Triple

T121292
Position Surface form Disambiguated ID Type / Status
Subject Inside Passage E2448 entity
Predicate hasPort P35 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: [Inside Passage, hasPort, Vancouver]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vancouver
Context triple: [Inside Passage, hasPort, 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_69a2506c5428819085c28a8884790e29 completed Feb. 28, 2026, 2:18 a.m.
NER Named-entity recognition batch_69a25739ef28819093f3f0e6bb670201 completed Feb. 28, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3280fa2e08190a367f06d721ed2a3 completed Feb. 28, 2026, 5:38 p.m.
Created at: Feb. 28, 2026, 2:24 a.m.