Triple

T8402430
Position Surface form Disambiguated ID Type / Status
Subject Nishiwaki E198405 entity
Predicate hasNameInJapanese P28734 FINISHED
Object 西脇市
西脇市は、兵庫県中部に位置し、日本の「へそ」とも呼ばれる地理的中心付近にある市です。
E732451 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: 西脇市 | Statement: [Nishiwaki, hasNameInJapanese, 西脇市]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 西脇市
Context triple: [Nishiwaki, hasNameInJapanese, 西脇市]
  • A. Katsuragi-shi
    Katsuragi-shi is a city located in Nara Prefecture in Japan, known for its historical sites and proximity to the Katsuragi mountain range.
  • B. Takehara-shi
    Takehara-shi is a coastal city in Hiroshima Prefecture, Japan, known for its well-preserved historic townscape and traditional salt-making heritage.
  • C. Miyoshi City
    Miyoshi City is a municipality in Tokushima Prefecture on Japan’s Shikoku Island, known for its mountainous terrain, scenic river valleys, and outdoor tourism.
  • D. Sakai City
    Sakai City is a major urban center in Osaka Prefecture, Japan, known historically as a prosperous port and merchant city and today for its industrial base and cultural heritage.
  • E. Takatsuki City
    Takatsuki City is a municipality in Osaka Prefecture, Japan, known as a commercial and residential hub between Osaka and Kyoto with a rich historical and cultural heritage.
  • 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: 西脇市
Triple: [Nishiwaki, hasNameInJapanese, 西脇市]
Generated description
西脇市は、兵庫県中部に位置し、日本の「へそ」とも呼ばれる地理的中心付近にある市です。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 西脇市
Target entity description: 西脇市は、兵庫県中部に位置し、日本の「へそ」とも呼ばれる地理的中心付近にある市です。
  • A. Katsuragi-shi
    Katsuragi-shi is a city located in Nara Prefecture in Japan, known for its historical sites and proximity to the Katsuragi mountain range.
  • B. Takehara-shi
    Takehara-shi is a coastal city in Hiroshima Prefecture, Japan, known for its well-preserved historic townscape and traditional salt-making heritage.
  • C. Miyoshi City
    Miyoshi City is a municipality in Tokushima Prefecture on Japan’s Shikoku Island, known for its mountainous terrain, scenic river valleys, and outdoor tourism.
  • D. Sakai City
    Sakai City is a major urban center in Osaka Prefecture, Japan, known historically as a prosperous port and merchant city and today for its industrial base and cultural heritage.
  • E. Takatsuki City
    Takatsuki City is a municipality in Osaka Prefecture, Japan, known as a commercial and residential hub between Osaka and Kyoto with a rich historical and cultural heritage.
  • 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_69ca8310df9c8190b25f16161cca3e41 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb824efa5c81908ce816cdb8e1fcfb completed March 31, 2026, 8:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce02e129bc819081e6ea2dd43becba completed April 2, 2026, 5:47 a.m.
NEDg Description generation batch_69ce077f25648190b9a95fb72f5b4f8c completed April 2, 2026, 6:06 a.m.
NED2 Entity disambiguation (via description) batch_69ce08e192088190ad8170b1bedd568d completed April 2, 2026, 6:12 a.m.
Created at: March 30, 2026, 6:04 p.m.