Triple

T6701306
Position Surface form Disambiguated ID Type / Status
Subject Shodoshima, Kagawa E152884 entity
Predicate hasAlternativeName P39 FINISHED
Object Shōdoshima 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: Shōdoshima | Statement: [Shodoshima, Kagawa, hasAlternativeName, Shōdoshima]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shōdoshima
Context triple: [Shodoshima, Kagawa, hasAlternativeName, Shōdoshima]
  • 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. 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.
  • C. Shikanoshima
    Shikanoshima is a small island in Japan known for its scenic coastal landscapes, historical sites, and proximity to the city of Fukuoka.
  • D. Kikaijima
    Kikaijima is a small coral island in Japan’s Kagoshima Prefecture, known for its limestone plateau landscape, sugarcane cultivation, and location within the Amami archipelago.
  • E. Etajima Island
    Etajima Island is a Japanese island in Hiroshima Prefecture best known as the historic site of the former Imperial Japanese Naval Academy.
  • 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_69c68807adbc8190b8632df42b39eda0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d0e4a1848190997520ddd7808cc6 completed March 27, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8c7aa218081908cba76a4fdaa9f10 completed March 29, 2026, 6:33 a.m.
Created at: March 27, 2026, 2:05 p.m.