Triple

T3795484
Position Surface form Disambiguated ID Type / Status
Subject Malaysia Aviation Group E89758 entity
Predicate owns P347 FINISHED
Object Malaysia Airlines E13188 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: Malaysia Airlines | Statement: [Malaysia Aviation Group, owns, Malaysia Airlines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malaysia Airlines
Context triple: [Malaysia Aviation Group, owns, Malaysia Airlines]
  • A. Malaysia Airlines chosen
    Malaysia Airlines is the flag carrier of Malaysia, operating international and domestic flights across Asia, Europe, and other regions from its main hub in Kuala Lumpur.
  • B. 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.
  • C. Lion Air
    Lion Air is a major Indonesian low-cost airline operating extensive domestic and regional routes across Southeast Asia.
  • D. Jin Air
    Jin Air is a South Korean low-cost airline that operates domestic and international passenger flights.
  • E. Sriwijaya Air
    Sriwijaya Air is an Indonesian airline that operates domestic and regional flights across Southeast Asia.
  • 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_69aed9597d6881909b6ee3b9de859223 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee79f09bc8190b7514a11a030eba5 completed March 9, 2026, 3:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f05ea5e081908c4714ca35aed48b completed March 14, 2026, 5:21 a.m.
Created at: March 9, 2026, 3:15 p.m.