Triple

T14859711
Position Surface form Disambiguated ID Type / Status
Subject Luxembourg Airport E349455 entity
Predicate hasPassengerAirline P71580 FINISHED
Object Luxair E862130 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: Luxair | Statement: [Luxembourg Airport, hasPassengerAirline, Luxair]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luxair
Context triple: [Luxembourg Airport, hasPassengerAirline, Luxair]
  • A. Luxair chosen
    Luxair is the national airline of Luxembourg, operating scheduled passenger and cargo flights across Europe and select destinations beyond.
  • B. Cargolux
    Cargolux is a major Luxembourg-based cargo airline and one of the world’s leading dedicated freight carriers.
  • C. Airbus Transport International
    Airbus Transport International is a specialized cargo airline that operates Airbus Beluga aircraft to transport oversized aircraft components and other outsize freight for Airbus and its partners.
  • D. Buraq Air
    Buraq Air is a Libyan airline that operates domestic and regional flights, primarily serving routes within Libya and neighboring countries.
  • E. Starlux Airlines
    Starlux Airlines is a Taiwanese full-service carrier based in Taipei, known for its premium cabins and stylish branding on regional and long-haul routes in Asia and beyond.
  • 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: hasPassengerAirline
Context triple: [Luxembourg Airport, hasPassengerAirline, Luxair]
  • A. hasPassengerAirlineService chosen
    Indicates that a location or facility is served by scheduled passenger airline flights.
  • B. hasPassengerOperator
    Indicates that an entity (such as a vehicle or service) is operated by an organization or person responsible for carrying passengers.
  • C. usedForPassengerFlights
    Indicates that something serves as a means or facility for transporting passengers on flights.
  • D. hasPassengerRole
    Indicates that an entity participates in a context or event specifically in the capacity or role of a passenger.
  • E. hasBaggageCheck
    Indicates that an entity provides or is associated with a service or facility for checking in baggage.
  • 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_69d822ed7e1881909b90fca143ad7e34 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded44598e48190b759a05ed2d9ecaf completed April 14, 2026, 11:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e7fc904819094269b7c785ead69 completed May 9, 2026, 12:23 a.m.
PD Predicate disambiguation batch_69de8c1798c08190b433e9ad21e41a42 completed April 14, 2026, 6:48 p.m.
Created at: April 10, 2026, 1:54 a.m.