Triple

T10939730
Position Surface form Disambiguated ID Type / Status
Subject Kagawa Prefecture E258435 entity
Predicate knownFor P22 FINISHED
Object Shodoshima E498853 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: Shodoshima | Statement: [Kagawa Prefecture, knownFor, Shodoshima]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shodoshima
Context triple: [Kagawa Prefecture, knownFor, Shodoshima]
  • A. Shodoshima chosen
    Shodoshima is a scenic Japanese island in the Seto Inland Sea known for its olive cultivation, Mediterranean-like climate, and dramatic coastal landscapes.
  • B. Innoshima
    Innoshima is a small island in Japan’s Seto Inland Sea, known for its scenic coastal views and its role as a key link along the Shimanami Kaido cycling route.
  • C. Tokunoshima
    Tokunoshima is a subtropical Japanese island in Kagoshima Prefecture known for its unique biodiversity, traditional culture, and role as part of the Amami archipelago.
  • D. Shikanoshima
    Shikanoshima is a small island in Japan known for its scenic coastal landscapes, historical sites, and proximity to the city of Fukuoka.
  • E. Shimoshima Island
    Shimoshima Island is the largest and most populous island of the Amakusa archipelago, known for its scenic coastal landscapes, historic Christian sites, and role as a cultural and tourism hub in Kumamoto Prefecture, Japan.
  • 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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770c1389881909341170984211810 completed April 9, 2026, 9:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69f74602a7ec8190980e5e6a80aa1235 completed May 3, 2026, 12:56 p.m.
Created at: April 8, 2026, 9:23 p.m.