Triple

T12400171
Position Surface form Disambiguated ID Type / Status
Subject AirAsia Indonesia E296230 entity
Predicate parentOrganization P254 FINISHED
Object AirAsia Group E398414 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 Group | Statement: [AirAsia Indonesia, parentOrganization, AirAsia Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AirAsia Group
Context triple: [AirAsia Indonesia, parentOrganization, AirAsia Group]
  • A. AirAsia chosen
    AirAsia is a Malaysian low-cost airline known for its extensive network of domestic and international routes across Asia and beyond.
  • B. 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.
  • 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. Malaysia Aviation Group
    Malaysia Aviation Group is a Malaysian state-owned aviation holding company that oversees Malaysia Airlines and several related aviation and travel businesses.
  • E. 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.
  • 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_69d6ad9f464c81909db36d7e96e34b9e completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9401cbfd481908ee6e765da3d12cb completed April 10, 2026, 6:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63efc0c7081909fe7d1818a081684 completed May 2, 2026, 6:14 p.m.
Created at: April 8, 2026, 9:55 p.m.