Triple

T22924892
Position Surface form Disambiguated ID Type / Status
Subject Hawker Siddeley Trident E569274 entity
Predicate airlineOperator P89671 FINISHED
Object Channel Airways NE NERFINISHED

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: Channel Airways | Statement: [Hawker Siddeley Trident, airlineOperator, Channel Airways]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Channel Airways
Context triple: [Hawker Siddeley Trident, airlineOperator, Channel Airways]
  • A. Channel Airways chosen
    Channel Airways was a British independent airline that operated domestic and European holiday charter flights primarily during the 1950s–1970s.
  • B. Link Airways
    Link Airways is an Australian regional airline operating scheduled passenger services between smaller cities and major hubs.
  • C. Silver Airways
    Silver Airways is a U.S. regional airline that primarily operates short-haul flights within Florida and the southeastern United States, as well as to nearby Caribbean destinations.
  • D. Atlantic Airways
    Atlantic Airways is the national airline of the Faroe Islands, operating domestic helicopter services and international flights primarily within Europe.
  • E. Crossair
    Crossair was a former Swiss regional airline that served as the main predecessor to Swiss International Air Lines after the collapse of Swissair.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2458f7d008190901dccbaebeaba24 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f180d84fc08190b747c3f9052c657a completed April 29, 2026, 3:54 a.m.
Created at: April 17, 2026, 3:43 p.m.