Triple

T6986782
Position Surface form Disambiguated ID Type / Status
Subject Soekarno–Hatta International Airport E161983 entity
Predicate hubFor P423 FINISHED
Object Citilink E159131 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: Citilink | Statement: [Soekarno–Hatta International Airport, hubFor, Citilink]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Citilink
Context triple: [Soekarno–Hatta International Airport, hubFor, 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. T'way Air
    T'way Air is a South Korean low-cost airline headquartered in Seoul that operates domestic and international flights across Asia.
  • D. Airlink
    Airlink is a South African regional airline that operates scheduled passenger services connecting smaller cities and remote destinations with major hubs in Southern Africa.
  • E. PAL Airlines
    PAL Airlines is a Canadian regional airline that operates passenger and cargo flights primarily throughout Newfoundland and Labrador and other parts of eastern Canada.
  • 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_69c68856d7808190ab33ee914640281b completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db93c0ac8190a752a633247bb439 completed March 27, 2026, 7:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c761cfda14819088e11889f0151a37 completed March 28, 2026, 5:06 a.m.
Created at: March 27, 2026, 2:32 p.m.