Triple

T1180118
Position Surface form Disambiguated ID Type / Status
Subject Canadian Airlines E25115 entity
Predicate formedByMergerOf P77 FINISHED
Object Nordair E134567 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: Nordair | Statement: [Canadian Airlines, formedByMergerOf, Nordair]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nordair
Context triple: [Canadian Airlines, formedByMergerOf, Nordair]
  • A. Canadian Pacific Air Lines chosen
    Canadian Pacific Air Lines was a major Canadian airline that operated extensive domestic and international routes before becoming a key component of the later Canadian Airlines through merger.
  • 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. Air Canada
    Air Canada is the flag carrier and largest airline of Canada, operating extensive domestic and international passenger and cargo services.
  • E. Pan American World Airways
    Pan American World Airways was a pioneering and iconic American international airline that helped popularize long-haul jet travel in the mid-20th century.
  • 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_69a494267b4c819088c97a59182bf56a completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd32c5f48190b4e2d39fa052cbb7 completed March 1, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac764827b881908cd2bb1e11e179f3 completed March 7, 2026, 7:02 p.m.
Created at: March 1, 2026, 7:45 p.m.