Triple

T17966252
Position Surface form Disambiguated ID Type / Status
Subject Matsue E449214 entity
Predicate locatedInRegion P40 FINISHED
Object San’in region 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: San’in region | Statement: [Matsue, locatedInRegion, San’in region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San’in region
Context triple: [Matsue, locatedInRegion, San’in region]
  • A. San’in region chosen
    The San’in region is a coastal area along the Sea of Japan in western Honshu, known for its rural landscapes, historic towns, and relatively cooler, cloudier climate compared to other parts of Japan.
  • B. Bungo Suido region
    The Bungo Suido region is a maritime area in southwestern Japan encompassing the waters and coastal zones around the Bungo Channel between Kyushu and Shikoku.
  • C. Mikawa region
    The Mikawa region is an eastern part of Aichi Prefecture in Japan, known for its industrial cities, historical ties to Tokugawa Ieyasu, and a mix of coastal and inland landscapes.
  • D. Chikuho region
    The Chikuho region is a former coal-mining area in central Fukuoka Prefecture, Japan, known for its industrial history and working-class culture.
  • E. Oshikoto Region
    Oshikoto Region is an administrative region in northern Namibia known for its mix of rural communities, agriculture, and the town of Tsumeb as its economic center.
  • 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_69d8b9f9927c8190a006110c8b996e61 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4b1380960819089a3c0dd7cd57e5e completed April 19, 2026, 10:40 a.m.
Created at: April 10, 2026, 10:22 a.m.