Triple

T17162780
Position Surface form Disambiguated ID Type / Status
Subject Kosei Line E416522 entity
Predicate connects P390 FINISHED
Object Fukui Prefecture area E425352 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: Fukui Prefecture area | Statement: [Kosei Line, connects, Fukui Prefecture area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fukui Prefecture area
Context triple: [Kosei Line, connects, Fukui Prefecture area]
  • A. 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.
  • B. Fukui Prefecture chosen
    Fukui Prefecture is a coastal region in Japan’s Chūbu area known for its rugged Sea of Japan shoreline, rich history, and significant dinosaur fossil discoveries.
  • C. Settsu area
    The Settsu area is a historical region in Japan that once formed part of Settsu Province, now largely encompassed by parts of modern Osaka and Hyōgo Prefectures.
  • D. Kōga region
    The Kōga region is a historic area in Japan famed as one of the principal centers of ninja (shinobi) activity alongside Iga.
  • E. Xi Prefecture
    Xi Prefecture was a historical administrative division in imperial China corresponding to the area of modern Quzhou in Zhejiang province.
  • 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_69d886d279c081909f8ff1f743ddeb69 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f91316108190b0d856d6fa5cd509 completed April 18, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a050d5b83cc8190ba333d90973335a9 completed May 13, 2026, 11:46 p.m.
Created at: April 10, 2026, 5:37 a.m.