Triple

T681368
Position Surface form Disambiguated ID Type / Status
Subject Malaysia Airlines E13188 entity
Predicate formerName P65 FINISHED
Object Malayan Airways 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: Malayan Airways | Statement: [Malaysia Airlines, formerName, Malayan Airways]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malayan Airways
Context triple: [Malaysia Airlines, formerName, Malayan Airways]
  • 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. Singapore Airlines
    Singapore Airlines is the flag carrier of Singapore, renowned for its premium service, extensive international network, and consistently high rankings among the world’s best airlines.
  • C. Cathay Pacific
    Cathay Pacific is a major Hong Kong-based international airline known for its extensive global network and premium full-service operations.
  • D. Philippine Airlines
    Philippine Airlines is the flag carrier of the Philippines, operating a wide network of domestic and international flights across Asia, North America, Oceania, and beyond.
  • E. EVA Air
    EVA Air is a major Taiwanese international airline known for its extensive global route network, high service standards, and innovative themed flights such as its Hello Kitty jets.
  • 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_69a4933d3bf88190972041cd8cf143b9 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a06e294c8190873116a3253e04f9 completed March 1, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5c3a5701c8190810e5e52bc2b61f7 completed March 2, 2026, 5:06 p.m.
Created at: March 1, 2026, 7:36 p.m.