Triple

T15765399
Position Surface form Disambiguated ID Type / Status
Subject Centrair E382206 entity
Predicate focusCityFor P164 FINISHED
Object AirAsia Japan E774483 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: AirAsia Japan | Statement: [Centrair, focusCityFor, AirAsia Japan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AirAsia Japan
Context triple: [Centrair, focusCityFor, AirAsia Japan]
  • A. AirAsia Japan (first incarnation) chosen
    AirAsia Japan (first incarnation) was a short-lived low-cost airline based in Japan that operated as a joint venture between AirAsia and All Nippon Airways before being restructured and rebranded.
  • B. AirAsia
    AirAsia is a Malaysian low-cost airline known for its extensive network of domestic and international routes across Asia and beyond.
  • C. AirAsia Indonesia
    AirAsia Indonesia is a low-cost airline based in Indonesia and a subsidiary of the Malaysia-based AirAsia Group, operating domestic and international flights across Asia.
  • D. Thai AirAsia
    Thai AirAsia is a Thai low-cost airline operating domestic and international flights, and is part of the wider AirAsia group based in Southeast Asia.
  • E. AirAsia India
    AirAsia India is a low-cost airline based in India that operates domestic flights across the country as part of the AirAsia group.
  • 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_69d86da09a10819082fe9797b23e4664 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e050b8154881908afe5191e6424f15 completed April 16, 2026, 3 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff998559088190b1f2942564a42ace completed May 9, 2026, 8:31 p.m.
Created at: April 10, 2026, 4:47 a.m.