Triple

T21343172
Position Surface form Disambiguated ID Type / Status
Subject Okamurajima E526252 entity
Predicate locatedNear P294 FINISHED
Object Etajima 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: Etajima | Statement: [Okamurajima, locatedNear, Etajima]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Etajima
Context triple: [Okamurajima, locatedNear, Etajima]
  • A. Etajima chosen
    Etajima is a city in Hiroshima Prefecture, Japan, historically known as the site of the Imperial Japanese Naval Academy.
  • B. Yugawara
    Yugawara is a coastal hot spring resort town in Kanagawa Prefecture, Japan, known for its onsen, scenic seaside views, and proximity to the Hakone and Izu regions.
  • C. Awashima
    Awashima is a small island in Japan’s Seto Inland Sea known for its contemporary art installations and participation in the Setouchi Triennale art festival.
  • D. Kaminoshima
    Kaminoshima is one of the uninhabited, forested islets of the Tomogashima archipelago in Wakayama Prefecture, Japan, known for its coastal scenery and wartime ruins.
  • E. Takashima
    Takashima is a lakeside city in western Shiga Prefecture, Japan, known for its scenic location along Lake Biwa and surrounding mountains.
  • 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_69e0b51c33048190ab27cede74ef798c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8a8515bc48190b79f80e505550cd5 completed April 22, 2026, 10:52 a.m.
Created at: April 16, 2026, 4:44 p.m.