Triple

T15487920
Position Surface form Disambiguated ID Type / Status
Subject Izena Island E377099 entity
Predicate hasSettlement P1068 FINISHED
Object Izena Village E1163117 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: Izena Village | Statement: [Izena Island, hasSettlement, Izena Village]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Izena Village
Context triple: [Izena Island, hasSettlement, Izena Village]
  • A. Izena Village chosen
    Izena Village is the local governing municipality of Izena Island in Okinawa Prefecture, Japan.
  • B. Umaji Village
    Umaji Village is a small rural municipality in Japan known for its forested mountains, citrus (yuzu) production, and traditional lifestyle.
  • C. Neian Village
    Neian Village is a coastal settlement on Xiyu Island in Taiwan’s Penghu archipelago, known for its traditional fishing culture and scenic seaside views.
  • D. Geisei Village
    Geisei Village is a small rural municipality located on the eastern coast of Shikoku in Japan, known for its agricultural landscape and coastal scenery.
  • E. Kidani Village
    Kidani Village is a Disney Vacation Club resort area themed after an African village, featuring savanna-view accommodations and cultural theming adjacent to Disney’s Animal Kingdom.
  • 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03faaca588190b0397bc2e27a522a completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56b9238081908fb2e6a7dcc2296f completed May 9, 2026, 3:46 p.m.
Created at: April 10, 2026, 3:48 a.m.