Triple

T36193106
Position Surface form Disambiguated ID Type / Status
Subject Kyushu Saga International Airport E1047042 entity
Predicate internationalDestinationsRegion P54353 FINISHED
Object East Asia 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: East Asia | Statement: [Kyushu Saga International Airport, internationalDestinationsRegion, East Asia]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: internationalDestinationsRegion
Context triple: [Kyushu Saga International Airport, internationalDestinationsRegion, East Asia]
  • A. internationalDestinationsInclude chosen
    Indicates that a given entity’s set of international destinations contains or covers the specified destination(s).
  • B. typicalDestinationsRegion
    Indicates that a region is a common or characteristic destination area associated with something (such as travelers, routes, or activities).
  • C. countryRegion
    Indicates that a country is located within, or belongs to, a specific geographic or administrative region.
  • D. worldRegion
    Indicates that one entity is a geographic region that encompasses, contains, or is associated with the other entity within the world.
  • E. overseasRegionOf
    Indicates that one region is an overseas territory or administrative division belonging to another country or primary region.
  • F. None of above.

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_69f76e3d4fbc81908c159c7beeb4ce00 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69fe91383a1c81909266e40c3c3ede6c completed May 9, 2026, 1:43 a.m.
PD Predicate disambiguation batch_69fe8fde094081908f0f121664fbb5c7 completed May 9, 2026, 1:37 a.m.
Created at: May 3, 2026, 4:08 p.m.