Triple

T23510702
Position Surface form Disambiguated ID Type / Status
Subject 岐阜市 E572412 entity
Predicate hasAttraction P105 FINISHED
Object 長良川鵜飼 — 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: 長良川鵜飼 | Statement: [岐阜市, hasAttraction, 長良川鵜飼]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 長良川鵜飼
Context triple: [岐阜市, hasAttraction, 長良川鵜飼]
  • A. 長良川 chosen
    長良川 is a major river in central Japan renowned for its clear waters, traditional cormorant fishing, and scenic valleys flowing through Gifu Prefecture.
  • B. 阿賀野川
    阿賀野川は福島県から新潟県へと流れ日本海に注ぐ、日本有数の流域面積と水力発電・灌漑機能を持つ大河川である。
  • C. 木曽川
    木曽川 is a major river in central Japan that flows through the Kiso Valley and is known for its scenic beauty and historical importance as part of the Nōbi Plain river system.
  • D. 魚野川
    魚野川 is a river in Niigata Prefecture, Japan, known as a major tributary of the Shinano River and for its rich fishing and scenic valley landscapes.
  • E. 千歳川
    千歳川は北海道石狩平野を流れ石狩川に合流する、支笏湖を水源とする代表的な河川です。
  • 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_69e245b5e4208190bac8a6509867e394 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1aa7e99b081909620c4f951100023 completed April 29, 2026, 6:51 a.m.
Created at: April 17, 2026, 6:07 p.m.