Triple

T14859710
Position Surface form Disambiguated ID Type / Status
Subject Luxembourg Airport E349455 entity
Predicate hasCargoOperator P22785 FINISHED
Object Cargolux E708269 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: Cargolux | Statement: [Luxembourg Airport, hasCargoOperator, Cargolux]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cargolux
Context triple: [Luxembourg Airport, hasCargoOperator, Cargolux]
  • A. Cargolux chosen
    Cargolux is a major Luxembourg-based cargo airline and one of the world’s leading dedicated freight carriers.
  • B. Cargolux Italia
    Cargolux Italia is an Italian cargo airline based in Milan that operates international freight services as part of the Cargolux Group.
  • 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. Luxair
    Luxair is the national airline of Luxembourg, operating scheduled passenger and cargo flights across Europe and select destinations beyond.
  • E. Grands Express Aériens
    Grands Express Aériens was an early French airline that operated luxury passenger services in the interwar period before becoming part of larger national carriers.
  • 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_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_69fe72a87dd88190b0f0c3b9b625a7e6 completed May 8, 2026, 11:32 p.m.
Created at: April 10, 2026, 1:54 a.m.