Triple

T4203304
Position Surface form Disambiguated ID Type / Status
Subject Kagoshima Airport E86120 entity
Predicate internationalDestinationsInclude P54353 FINISHED
Object Taipei E14412 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: Taipei | Statement: [Kagoshima Airport, internationalDestinationsInclude, Taipei]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taipei
Context triple: [Kagoshima Airport, internationalDestinationsInclude, Taipei]
  • A. Taipei, Taiwan chosen
    Taipei, Taiwan is the capital and largest city of Taiwan, known as a major political, economic, and cultural center in East Asia.
  • B. Tainan
    Tainan is a historic city in southern Taiwan known for its well-preserved temples, traditional culture, and status as the island’s former capital.
  • C. Kaohsiung
    Kaohsiung is a major port city in southern Taiwan known for its heavy industry, modern harborfront, and growing cultural and arts scene.
  • D. Keelung
    Keelung is a major port city in northeastern Taiwan known for its busy harbor, seafood markets, and coastal scenery.
  • E. New Taipei City
    New Taipei City is a populous special municipality in northern Taiwan that encircles Taipei and serves as a major residential, industrial, and transportation hub of the Taipei metropolitan area.
  • 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_69aed93b89f48190a31f6d57c760e42f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af0b2db368819080c1d652b4acfd0c completed March 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69b66b21271c81909f1cf3239bc1b7eb completed March 15, 2026, 8:17 a.m.
Created at: March 9, 2026, 3:49 p.m.