Triple

T13805539
Position Surface form Disambiguated ID Type / Status
Subject Telus Cup E331751 entity
Predicate predecessorNameSponsor P15098 FINISHED
Object Air Canada E42187 NE FINISHED

How this triple was built (3 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: [Telus Cup, predecessorNameSponsor, Air Canada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Air Canada
Context triple: [Telus Cup, predecessorNameSponsor, 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.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: predecessorNameSponsor
Context triple: [Telus Cup, predecessorNameSponsor, Air Canada]
  • A. predecessorName
    Indicates that the value is the name of an entity that directly precedes another in an ordered sequence or lineage.
  • B. previousSponsorshipName chosen
    Indicates that an entity had a different sponsorship name in the past, specifying what that prior sponsored name was.
  • C. formerSponsor
    Indicates that an entity previously acted as a sponsor for another entity but no longer holds that sponsoring role.
  • D. predecessorRealName
    Indicates that one entity is the real (actual) name of the predecessor of another entity.
  • E. predecessorCEO
    Indicates that one person previously held the position of CEO before another specific person.
  • F. None of above.

Provenance (4 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de026d98108190acf366a36d97bf92 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b08db39c8190a76637b36b77d643 completed May 3, 2026, 8:31 p.m.
PD Predicate disambiguation batch_69dbc862e9608190bd8a3d883959b7e4 completed April 12, 2026, 4:29 p.m.
Created at: April 9, 2026, 10:12 p.m.