Triple

T1722006
Position Surface form Disambiguated ID Type / Status
Subject Airbus A300 E37411 entity
Predicate usedBy P260 FINISHED
Object Thai Airways International E50293 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: Thai Airways International | Statement: [Airbus A300, usedBy, Thai Airways International]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thai Airways International
Context triple: [Airbus A300, usedBy, Thai Airways International]
  • A. Thai Airways International chosen
    Thai Airways International is the flag carrier airline of Thailand, operating an extensive network of domestic and international flights from its main hub in Bangkok.
  • 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. 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.
  • D. Jin Air
    Jin Air is a South Korean low-cost airline that operates domestic and international passenger flights.
  • E. Asia Pacific Airlines
    Asia Pacific Airlines is a cargo and charter airline based in Guam that primarily serves destinations across Micronesia and the Western Pacific region.
  • 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_69a8861acab88190bb43cde203429399 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa635703dc8190809260de43b72ea3 completed March 6, 2026, 5:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada0d58cd08190bdda9f03ca458081 completed March 8, 2026, 4:16 p.m.
Created at: March 4, 2026, 7:30 p.m.