Triple

T12821261
Position Surface form Disambiguated ID Type / Status
Subject Value Alliance E306534 entity
Predicate hasMember P10 FINISHED
Object Tigerair Taiwan E168118 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: Tigerair Taiwan | Statement: [Value Alliance, hasMember, Tigerair Taiwan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tigerair Taiwan
Context triple: [Value Alliance, hasMember, Tigerair Taiwan]
  • A. Tigerair Taiwan chosen
    Tigerair Taiwan is a Taiwanese low-cost airline based in Taoyuan that operates regional flights across East and Southeast Asia.
  • B. T'way Air
    T'way Air is a South Korean low-cost airline headquartered in Seoul that operates domestic and international flights across Asia.
  • C. 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.
  • D. Loong Air
    Loong Air is a Chinese passenger and cargo airline based in Hangzhou that operates domestic and regional routes across Asia.
  • 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_69d7bdf46c448190b1faa55aaacb6317 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e9fcc8c8190a926ab0481d28f14 completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68ed165188190a4cac781c753fb23 completed May 2, 2026, 11:54 p.m.
Created at: April 9, 2026, 5:31 p.m.