Triple

T21970105
Position Surface form Disambiguated ID Type / Status
Subject Seto Inland Sea islands E542563 entity
Predicate hasIsland P970 FINISHED
Object Genkaijima 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: Genkaijima | Statement: [Seto Inland Sea islands, hasIsland, Genkaijima]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Genkaijima
Context triple: [Seto Inland Sea islands, hasIsland, Genkaijima]
  • A. Yumeshima
    Yumeshima is a large artificial island in Osaka, Japan, known for planned large-scale developments including expo and integrated resort projects.
  • B. Meijima
    Meijima is one of the small islands that make up Japan’s Mukojima Islands group in the Ogasawara (Bonin) archipelago.
  • C. Yoroshima
    Yoroshima is a small island that is part of Japan’s subtropical Amami archipelago in Kagoshima Prefecture.
  • D. Minnajima
    Minnajima is a small island located off the coast of Motobu in Okinawa, Japan, known for its scenic coastal environment and marine activities.
  • E. Genkaijima Island chosen
    Genkaijima Island is a small inhabited island off the coast of Fukuoka in southwestern Japan, known for its fishing community and scenic views within Hakata Bay.
  • 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_69e0c48070988190909db97667b9a0ac completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1245e4ebc8190968108cc95a22fe4 completed April 28, 2026, 9:19 p.m.
Created at: April 16, 2026, 8:02 p.m.