Triple

T4794584
Position Surface form Disambiguated ID Type / Status
Subject Incheon International Airport E106680 entity
Predicate hubFor P423 FINISHED
Object T’way Air E467929 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: 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. Tigerair Taiwan
    Tigerair Taiwan is a Taiwanese low-cost airline based in Taoyuan that operates regional flights across East and Southeast Asia.
  • 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. Akasa Air
    Akasa Air is an Indian low-cost airline that began operations in 2022, offering domestic flights with a focus on affordable fares and a modern fleet.
  • E. Mandarin Airlines
    Mandarin Airlines is a Taiwanese regional airline that operates domestic and short-haul international flights, primarily serving secondary routes within Taiwan and nearby Asian destinations.
  • 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_69bd43f591c881909e5a532388b0f3f3 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd66088d588190839acfbac6e1c3dd completed March 20, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69be43f512e0819086cc33009cd45c9a completed March 21, 2026, 7:08 a.m.
Created at: March 20, 2026, 1:22 p.m.