Triple

T20143745
Position Surface form Disambiguated ID Type / Status
Subject Lombok International Airport E491242 entity
Predicate hasHubAirline P423 FINISHED
Object Wings Air 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: Wings Air | Statement: [Lombok International Airport, hasHubAirline, Wings Air]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wings Air
Context triple: [Lombok International Airport, hasHubAirline, Wings Air]
  • A. Wings Air chosen
    Wings Air is an Indonesian regional airline operating short-haul domestic routes with a focus on connecting smaller cities and remote areas.
  • B. West Air
    West Air is a Chinese low-cost airline based in Chongqing that operates domestic and regional passenger services.
  • C. McGee Airways
    McGee Airways was an early Alaskan airline founded in the 1930s that evolved through mergers and rebranding into what is now Alaska Airlines.
  • D. Red Wings Airlines
    Red Wings Airlines is a Russian passenger airline that operates scheduled and charter flights, primarily within Russia and to nearby international destinations.
  • E. 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.
  • 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_69da6265f8f0819080b29c752a574088 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e6679cbc388190bb2b444a69a597a6 completed April 20, 2026, 5:51 p.m.
Created at: April 11, 2026, 11:33 p.m.