Triple

T7503965
Position Surface form Disambiguated ID Type / Status
Subject Tomogashima Islands E177337 entity
Predicate hasViewOf P854 FINISHED
Object Awaji Island E149696 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: Awaji Island | Statement: [Tomogashima Islands, hasViewOf, Awaji Island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Awaji Island
Context triple: [Tomogashima Islands, hasViewOf, Awaji Island]
  • A. Awaji Island chosen
    Awaji Island is a large island in Japan’s Seto Inland Sea, known as the epicenter of the 1995 Great Hanshin earthquake and for its scenic landscapes and cultural heritage.
  • B. Onekotan Island
    Onekotan Island is a remote volcanic island in Russia’s Kuril Islands chain, known for its dramatic caldera landscapes and rugged, uninhabited terrain.
  • C. Yumeshima Island
    Yumeshima Island is a large artificial island in Osaka Bay, Japan, being developed as a major waterfront district and international event site.
  • D. Ninoshima Island
    Ninoshima Island is a small island in Hiroshima Bay, Japan, known for its historical role during World War II and its proximity to the city of Hiroshima.
  • 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_69c69f2696688190915a8458f2398211 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5b32c708190bb3a92d0d949304a completed March 27, 2026, 9:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf4205d7a08190839c10bdfc476d9f completed April 3, 2026, 4:28 a.m.
Created at: March 27, 2026, 3:44 p.m.