Triple

T21996446
Position Surface form Disambiguated ID Type / Status
Subject フィリピン・ルソン島 E543217 entity
Predicate 英語名 P3437 FINISHED
Object Luzon 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: Luzon | Statement: [フィリピン・ルソン島, 英語名, Luzon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luzon
Context triple: [フィリピン・ルソン島, 英語名, Luzon]
  • A. Luzon chosen
    Luzon is the largest and most populous island in the Philippines, home to the nation’s capital, Manila, and its main political and economic centers.
  • B. Visayas
    Visayas is a central group of islands in the Philippines known for its rich cultural heritage, vibrant festivals, and popular beach and diving destinations.
  • C. Northern Luzon, Philippines
    Northern Luzon, Philippines is a major geographic region on the island of Luzon known for its mountainous terrain, diverse indigenous cultures, and distinct Northern Luzon languages.
  • D. Mindanao
    Mindanao is the second-largest and southernmost major island of the Philippines, known for its diverse cultures, rich natural resources, and significant agricultural and economic role in the country.
  • E. Luzon Central Plain
    The Luzon Central Plain is a vast, fertile lowland region in central Luzon, Philippines, known as a major agricultural and population center of the country.
  • 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_69e11e2c814c8190837d072789000486 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12765fb0c81908f7b7acda065ee2f completed April 28, 2026, 9:32 p.m.
Created at: April 16, 2026, 8:19 p.m.