Triple

T21261751
Position Surface form Disambiguated ID Type / Status
Subject JR Sekihoku Main Line E524019 entity
Predicate connectsRegion P845 FINISHED
Object Kamikawa region E1287764 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: Kamikawa region | Statement: [JR Sekihoku Main Line, connectsRegion, Kamikawa region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kamikawa region
Context triple: [JR Sekihoku Main Line, connectsRegion, Kamikawa region]
  • A. Inaba region
    The Inaba region is the eastern historical area of Tottori Prefecture in Japan, centered around the city of Tottori and known for its coastal landscapes and cultural heritage.
  • B. Kaniaga region
    The Kaniaga region was a historic area in West Africa that served as the core territory and stronghold of the medieval Sosso state.
  • C. Okutama region
    The Okutama region is a mountainous, forested area on the western edge of Tokyo known for its hiking trails, rivers, and natural scenery.
  • D. Hokusetsu region
    The Hokusetsu region is an area in northern Osaka Prefecture, Japan, known for its suburban cities and natural landscapes centered around the Hokusetsu Mountains.
  • E. Shiribeshi region chosen
    The Shiribeshi region is an area in western Hokkaido, Japan, known for its mountainous landscapes, ski resorts, and coastal scenery along the Sea of Japan.
  • 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_69e0b5156d7881909bd4f83676590715 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e735e899e081909d3c98fb12a8b476 completed April 21, 2026, 8:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a098ffe7b2c8190b80df1c552c84cdd completed May 17, 2026, 9:53 a.m.
Created at: April 16, 2026, 3:59 p.m.