Triple

T20946989
Position Surface form Disambiguated ID Type / Status
Subject Runway 16/34 E515867 entity
Predicate usedBy P260 FINISHED
Object Jetstar 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: Jetstar Airways | Statement: [Runway 16/34, usedBy, Jetstar Airways]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jetstar Airways
Context triple: [Runway 16/34, usedBy, 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 Pacific Airlines
    Jetstar Pacific Airlines was a Vietnamese low-cost carrier that operated domestic and regional flights under the Jetstar brand before rebranding back to Pacific Airlines.
  • C. Jetstar Asia Airways
    Jetstar Asia Airways is a Singapore-based low-cost airline operating regional flights across Asia under the Jetstar brand.
  • D. 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.
  • E. Tigerair Australia
    Tigerair Australia was a low-cost Australian airline that operated domestic and short-haul international flights before ceasing operations in 2020.
  • 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_69e0b4fcd678819087a304291f14330a completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fad97aa48190b4be692e3afce8c9 completed April 21, 2026, 4:19 a.m.
Created at: April 16, 2026, 12:56 p.m.