Triple

T2406741
Position Surface form Disambiguated ID Type / Status
Subject Skytrax Airline of the Year 2014 E50292 entity
Predicate winner P354 FINISHED
Object Cathay Pacific E8737 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: Cathay Pacific | Statement: [Skytrax Airline of the Year 2014, winner, Cathay Pacific]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cathay Pacific
Context triple: [Skytrax Airline of the Year 2014, winner, Cathay Pacific]
  • A. Cathay Pacific chosen
    Cathay Pacific is a major Hong Kong-based international airline known for its extensive global network and premium full-service operations.
  • B. Air Hong Kong
    Air Hong Kong is a Hong Kong-based all-cargo airline that primarily operates regional freight services across Asia.
  • C. 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.
  • D. 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.
  • E. China Airlines
    China Airlines is the flag carrier of Taiwan, operating an extensive network of international passenger and cargo flights across Asia, Europe, North America, and Oceania.
  • 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_69a88b0339a88190a1207333cd271cc9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc8fcd3008190b27325e6829ae7ce completed March 7, 2026, 6:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbad005881909797050a2dfc3d38 completed March 10, 2026, 6:35 a.m.
Created at: March 4, 2026, 7:58 p.m.