Triple

T23510714
Position Surface form Disambiguated ID Type / Status
Subject 岐阜市 E572412 entity
Predicate knownFor P22 FINISHED
Object 長良川の鵜飼
長良川の鵜飼は、岐阜市の長良川で夏の夜に行われる、かがり火を焚いて鵜を使ってアユを捕る日本の伝統的な漁法兼観光行事です。
E1591488 NE FINISHED

How this triple was built (4 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: 長良川の鵜飼 | Statement: [岐阜市, knownFor, 長良川の鵜飼]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 長良川の鵜飼
Context triple: [岐阜市, knownFor, 長良川の鵜飼]
  • A. Sugano no Mamichi
    Sugano no Mamichi was an 8th-century Japanese court noble and scholar of the Nara period, known for his role in government and contributions to classical historiography.
  • B. Shiotsuchi no Okina
    Shiotsuchi no Okina is a Shinto sea and salt deity venerated in Japanese mythology and worshipped at shrines such as Aoshima Shrine.
  • C. Shunpanrō
    Shunpanrō is a historic inn in Shimonoseki, Japan, best known as the site where the Treaty of Shimonoseki ending the First Sino-Japanese War was signed.
  • D. Kashiwa-no-ha
    Kashiwa-no-ha is a modern, planned district in Kashiwa, Chiba Prefecture, Japan, known for its smart-city initiatives, research institutions, and residential developments centered around Kashiwa-no-ha Campus Station.
  • E. Nawate-dori
    Nawate-dori is a historic, frog-themed shopping street in Matsumoto, Nagano, known for its traditional atmosphere, small shops, and proximity to Matsumoto Castle.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: 長良川の鵜飼
Triple: [岐阜市, knownFor, 長良川の鵜飼]
Generated description
長良川の鵜飼は、岐阜市の長良川で夏の夜に行われる、かがり火を焚いて鵜を使ってアユを捕る日本の伝統的な漁法兼観光行事です。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 長良川の鵜飼
Target entity description: 長良川の鵜飼は、岐阜市の長良川で夏の夜に行われる、かがり火を焚いて鵜を使ってアユを捕る日本の伝統的な漁法兼観光行事です。
  • A. Sugano no Mamichi
    Sugano no Mamichi was an 8th-century Japanese court noble and scholar of the Nara period, known for his role in government and contributions to classical historiography.
  • B. Shiotsuchi no Okina
    Shiotsuchi no Okina is a Shinto sea and salt deity venerated in Japanese mythology and worshipped at shrines such as Aoshima Shrine.
  • C. Shunpanrō
    Shunpanrō is a historic inn in Shimonoseki, Japan, best known as the site where the Treaty of Shimonoseki ending the First Sino-Japanese War was signed.
  • D. Kashiwa-no-ha
    Kashiwa-no-ha is a modern, planned district in Kashiwa, Chiba Prefecture, Japan, known for its smart-city initiatives, research institutions, and residential developments centered around Kashiwa-no-ha Campus Station.
  • E. Nawate-dori
    Nawate-dori is a historic, frog-themed shopping street in Matsumoto, Nagano, known for its traditional atmosphere, small shops, and proximity to Matsumoto Castle.
  • F. None of above. chosen

Provenance (5 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.
NED1 Entity disambiguation (via context triple) batch_6a0cdf46f18c81908dfe27a37d667f18 completed May 19, 2026, 10:08 p.m.
NEDg Description generation batch_6a0ce1e95ad48190bcf2f07f169b8276 completed May 19, 2026, 10:19 p.m.
NED2 Entity disambiguation (via description) batch_6a0ce26bb9bc8190826a14b9c894bfd9 completed May 19, 2026, 10:21 p.m.
Created at: April 17, 2026, 6:07 p.m.