Triple

T20143746
Position Surface form Disambiguated ID Type / Status
Subject Lombok International Airport E491242 entity
Predicate hasHubAirline P423 FINISHED
Object Citilink 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: Citilink | Statement: [Lombok International Airport, hasHubAirline, Citilink]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Citilink
Context triple: [Lombok International Airport, hasHubAirline, Citilink]
  • A. Citilink chosen
    Citilink is an Indonesian low-cost airline operating domestic and regional flights as a subsidiary of the national carrier Garuda Indonesia.
  • B. Malindo Air
    Malindo Air is a Malaysian hybrid full-service and low-cost airline that became the first operator of the Boeing 737 MAX 8.
  • C. Dragonair
    Dragonair was a Hong Kong-based regional airline, later rebranded as Cathay Dragon, that primarily operated flights within Asia.
  • D. T'way Air
    T'way Air is a South Korean low-cost airline headquartered in Seoul that operates domestic and international flights across Asia.
  • E. Belau Air
    Belau Air is a small regional airline based in Palau that operates domestic and nearby international flights, primarily serving local island communities.
  • 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.