Triple

T9253875
Position Surface form Disambiguated ID Type / Status
Subject Air Canada Express E222391 entity
Predicate parentCompany P254 FINISHED
Object Air Canada E42187 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: Air Canada | Statement: [Air Canada Express, parentCompany, Air Canada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Air Canada
Context triple: [Air Canada Express, parentCompany, Air Canada]
  • A. Air Canada chosen
    Air Canada is the flag carrier and largest airline of Canada, operating extensive domestic and international passenger and cargo services.
  • B. Canadian Airlines
    Canadian Airlines was a former major Canadian carrier that operated extensive domestic and international routes before being acquired by Air Canada in 2000.
  • C. WestJet
    WestJet is a major Canadian low-cost airline known for its extensive domestic and international route network and customer-friendly service.
  • D. Canadian Airways Limited
    Canadian Airways Limited was an early 20th-century Canadian airline that played a key role in pioneering commercial aviation and regional air services across Canada.
  • E. Air Canada Express
    Air Canada Express is a regional airline brand that operates short-haul feeder flights on behalf of Air Canada, connecting smaller communities to the mainline carrier’s network.
  • 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_69ca841e4cd481908e738c74e958eaea completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd06b1f6bc81908115e22652d0c85e completed April 1, 2026, 11:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1610abbec81908743c1ef20fb39d4 completed April 4, 2026, 7:05 p.m.
Created at: March 30, 2026, 7:31 p.m.