Triple

T17469302
Position Surface form Disambiguated ID Type / Status
Subject San’in region E425361 entity
Predicate majorCity P316 FINISHED
Object Izumo 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: Izumo | Statement: [San’in region, majorCity, Izumo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Izumo
Context triple: [San’in region, majorCity, Izumo]
  • A. Izumo chosen
    Izumo is a coastal city in Japan’s Shimane Prefecture, best known for the ancient Shinto shrine Izumo Taisha, one of the country’s most important religious sites.
  • B. Yamashiro
    Yamashiro was a World War II-era Imperial Japanese Navy battleship, notable as one of the last battleships sunk in a classic surface engagement during the Battle of Surigao Strait.
  • C. Yamashiro
    Yamashiro was a former town in Japan’s Soraku District, Kyoto Prefecture, known for its rural setting and eventual merger into a larger municipality.
  • D. Kumano
    Kumano was a Mogami-class heavy cruiser of the Imperial Japanese Navy that served during World War II.
  • E. Kumano
    Kumano is a coastal city in Japan’s Mie Prefecture known for its scenic Kumano Kodo pilgrimage routes and rugged natural landscapes.
  • 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_69d889dbc2e88190b18ea6115e819258 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451aad4a08190be7e25841da8e952 completed April 19, 2026, 3:53 a.m.
Created at: April 10, 2026, 5:47 a.m.