Triple

T23510709
Position Surface form Disambiguated ID Type / Status
Subject 岐阜市 E572412 entity
Predicate hasAttraction P105 FINISHED
Object 岐阜市歴史博物館
岐阜市歴史博物館は、岐阜市とその周辺地域の歴史や文化を、常設展示や体験型展示を通じて紹介する市立の歴史博物館です。
E1589243 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: 岐阜市歴史博物館 | Statement: [岐阜市, hasAttraction, 岐阜市歴史博物館]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 岐阜市歴史博物館
Context triple: [岐阜市, hasAttraction, 岐阜市歴史博物館]
  • A. 岐阜県美術館
    岐阜県美術館は、建築家・黒川紀章が設計したポストモダン建築として知られる岐阜県の公立美術館です。
  • B. Fuchu City Museum of Local History
    Fuchu City Museum of Local History is a local history museum in Fuchu, Tokyo, dedicated to preserving and showcasing the area's cultural and historical heritage.
  • C. Toyohashi City Museum of Art and History
    Toyohashi City Museum of Art and History is a cultural institution in Toyohashi, Japan, featuring exhibitions on local history, art, and regional heritage.
  • D. Gifu-Kakamigahara Air and Space Museum
    The Gifu-Kakamigahara Air and Space Museum is an aviation and space science museum in Kakamigahara, Japan, showcasing the history and technology of Japanese aircraft and aerospace development.
  • E. Sawanotsuru Museum
    Sawanotsuru Museum is a sake-themed museum in Kobe, Japan, showcasing the history and traditional brewing methods of the Sawanotsuru sake brewery and the Nada sake district.
  • 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: 岐阜市歴史博物館
Triple: [岐阜市, hasAttraction, 岐阜市歴史博物館]
Generated description
岐阜市歴史博物館は、岐阜市とその周辺地域の歴史や文化を、常設展示や体験型展示を通じて紹介する市立の歴史博物館です。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 岐阜市歴史博物館
Target entity description: 岐阜市歴史博物館は、岐阜市とその周辺地域の歴史や文化を、常設展示や体験型展示を通じて紹介する市立の歴史博物館です。
  • A. 岐阜県美術館
    岐阜県美術館は、建築家・黒川紀章が設計したポストモダン建築として知られる岐阜県の公立美術館です。
  • B. Fuchu City Museum of Local History
    Fuchu City Museum of Local History is a local history museum in Fuchu, Tokyo, dedicated to preserving and showcasing the area's cultural and historical heritage.
  • C. Toyohashi City Museum of Art and History
    Toyohashi City Museum of Art and History is a cultural institution in Toyohashi, Japan, featuring exhibitions on local history, art, and regional heritage.
  • D. Gifu-Kakamigahara Air and Space Museum
    The Gifu-Kakamigahara Air and Space Museum is an aviation and space science museum in Kakamigahara, Japan, showcasing the history and technology of Japanese aircraft and aerospace development.
  • E. Sawanotsuru Museum
    Sawanotsuru Museum is a sake-themed museum in Kobe, Japan, showcasing the history and traditional brewing methods of the Sawanotsuru sake brewery and the Nada sake district.
  • 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_6a0c827b417c8190b50687412133bb0b completed May 19, 2026, 3:32 p.m.
NEDg Description generation batch_6a0ca6f2d4288190b0b5fd46d2a387bf completed May 19, 2026, 6:07 p.m.
NED2 Entity disambiguation (via description) batch_6a0ca7f09af48190b7bfdae25d2f286b completed May 19, 2026, 6:12 p.m.
Created at: April 17, 2026, 6:07 p.m.