Triple

T13089469
Position Surface form Disambiguated ID Type / Status
Subject WJA E310421 entity
Predicate airlineSecondaryHubAirportCode P94001 FINISHED
Object YYZ E77965 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: YYZ | Statement: [WJA, airlineSecondaryHubAirportCode, YYZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: YYZ
Context triple: [WJA, airlineSecondaryHubAirportCode, YYZ]
  • A. YYZ chosen
    YYZ is the IATA airport code for Toronto Pearson International Airport, the primary and busiest airport serving the Toronto metropolitan area in Canada.
  • B. Toronto/Downsview Airport
    Toronto/Downsview Airport is a former military and testing airfield in Toronto, Canada, historically used by de Havilland and later Bombardier for aircraft manufacturing and flight operations.
  • C. PortsToronto
    PortsToronto is a government business enterprise that manages and operates key transportation and waterfront assets in Toronto, including Billy Bishop Toronto City Airport and the city’s port and marina facilities.
  • D. Toronto Centre
    Toronto Centre is a densely populated federal electoral district in downtown Toronto, Ontario, known for its diverse communities and significant political prominence.
  • E. North York
    North York is a major district in the north end of Toronto, Ontario, known for its dense urban development, shopping centers, and mixed residential and commercial areas.
  • 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: airlineSecondaryHubAirportCode
Context triple: [WJA, airlineSecondaryHubAirportCode, YYZ]
  • A. operatorSecondaryHubAirportIATA
    Indicates the IATA airport code of a secondary hub airport used by the operator.
  • B. secondaryHubOfAirline chosen
    Indicates that an airport serves as a secondary operational hub for a particular airline, supporting but not replacing its primary hub activities.
  • C. hasSecondaryAirport
    Indicates that an entity is associated with an additional, typically smaller or alternative, airport beyond its primary one.
  • D. otherAirportOfCity
    Indicates that the subject airport is another airport serving the same city as the object airport.
  • E. associatedAirport
    Indicates a relationship where an entity is linked or connected to a specific airport, typically as its relevant or corresponding airport.
  • 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d98138a1d481908a139f2f67eb3472 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d614704481908758cf8691a941ea completed May 3, 2026, 4:59 a.m.
PD Predicate disambiguation batch_69d9803f6c508190bfadfbc2d00c2c64 completed April 10, 2026, 10:57 p.m.
Created at: April 9, 2026, 9:03 p.m.