Triple

T19598911
Position Surface form Disambiguated ID Type / Status
Subject Incheon International Airport E470415 entity
Predicate hubFor P423 FINISHED
Object T’way Air NE NERFINISHED

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: T’way Air | Statement: [Incheon International Airport, hubFor, T’way Air]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: T’way Air
Context triple: [Incheon International Airport, hubFor, T’way Air]
  • A. T'way Air chosen
    T'way Air is a South Korean low-cost airline headquartered in Seoul that operates domestic and international flights across Asia.
  • B. Loong Air
    Loong Air is a Chinese passenger and cargo airline based in Hangzhou that operates domestic and regional routes across Asia.
  • C. Kingfisher Airlines
    Kingfisher Airlines was a now-defunct Indian private airline known for its full-service, premium offerings and high-profile financial collapse in the early 2010s.
  • D. Tigerair Taiwan
    Tigerair Taiwan is a Taiwanese low-cost airline based in Taoyuan that operates regional flights across East and Southeast Asia.
  • E. Cham Wings Airlines
    Cham Wings Airlines is a privately owned Syrian airline based in Damascus that operates regional and international passenger flights, often serving as an alternative to the state carrier Syrian Air.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e510024481908415c0d616fa6186 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e6407d46188190b9818665b2a698a5 completed April 20, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:43 p.m.