Triple

T6830321
Position Surface form Disambiguated ID Type / Status
Subject Mackay Airport E157119 entity
Predicate hasAirlineService P12356 FINISHED
Object Jetstar Airways E63305 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: Jetstar Airways | Statement: [Mackay Airport, hasAirlineService, Jetstar Airways]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jetstar Airways
Context triple: [Mackay Airport, hasAirlineService, Jetstar Airways]
  • A. Jetstar Airways chosen
    Jetstar Airways is an Australian low-cost airline operating domestic and international flights, owned by the Qantas Group.
  • B. Jetstar Asia Airways
    Jetstar Asia Airways is a Singapore-based low-cost airline operating regional flights across Asia under the Jetstar brand.
  • C. Virgin Australia
    Virgin Australia is a major Australian airline offering domestic and international passenger services with a focus on full-service amenities and extensive route networks.
  • D. Jetstar Group
    Jetstar Group is a low-cost airline group in the Asia-Pacific region that operates and oversees Jetstar-branded carriers across multiple countries.
  • E. Jetstar Japan
    Jetstar Japan is a Japanese low-cost airline operating domestic and international flights, partly owned by Qantas and Japan Airlines.
  • 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_69c6882a5b5c8190917a7db9ed36bad1 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d62820808190ad3c244893e88699 completed March 27, 2026, 7:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72fab60708190825876e5715c0cc4 completed March 28, 2026, 1:32 a.m.
Created at: March 27, 2026, 2:18 p.m.