Triple

T12821222
Position Surface form Disambiguated ID Type / Status
Subject JST E306533 entity
Predicate airlineCallsign P13478 FINISHED
Object JETSTAR 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 | Statement: [JST, airlineCallsign, JETSTAR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JETSTAR
Context triple: [JST, airlineCallsign, JETSTAR]
  • A. Jetstar Asia Airways
    Jetstar Asia Airways is a Singapore-based low-cost airline operating regional flights across Asia under the Jetstar brand.
  • B. Jetstar Airways chosen
    Jetstar Airways is an Australian low-cost airline operating domestic and international flights, owned by the Qantas Group.
  • C. 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.
  • D. Jetstar Japan
    Jetstar Japan is a Japanese low-cost airline operating domestic and international flights, partly owned by Qantas and Japan Airlines.
  • E. AirAsia
    AirAsia is a Malaysian low-cost airline known for its extensive network of domestic and international routes across Asia and beyond.
  • 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_69d7bdf46c448190b1faa55aaacb6317 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e9fcc8c8190a926ab0481d28f14 completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e25f2c8481908ca9784a8e643a28 completed May 3, 2026, 5:51 a.m.
Created at: April 9, 2026, 5:31 p.m.