Triple

T8354635
Position Surface form Disambiguated ID Type / Status
Subject 中部地方 E196653 entity
Predicate containsRegion P285 FINISHED
Object 甲信越地方
甲信越地方 is a subregion of central Honshu in Japan, commonly referring to the combined area of Yamanashi, Nagano, and Niigata prefectures.
E727571 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: 甲信越地方 | Statement: [中部地方, containsRegion, 甲信越地方]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 甲信越地方
Context triple: [中部地方, containsRegion, 甲信越地方]
  • A. 川越市
    川越市 is a historic city in Saitama Prefecture, Japan, famed for its well-preserved Edo-period streetscapes and traditional warehouse-style buildings that have earned it the nickname "Little Edo."
  • B. 柏原市
    柏原市は、大阪府南東部に位置し、歴史ある寺社やぶどう栽培などで知られる中規模の都市です。
  • C. 八幡市
    八幡市は、京都府南部に位置し、石清水八幡宮などで知られる歴史と自然に恵まれた都市です。
  • D. 交野市
    交野市は、大阪府北河内地域に位置する自然豊かな住宅都市で、星田妙見宮や天野川などで知られる市です。
  • E. Sunpu, Suruga Province
    Sunpu in Suruga Province was a prominent castle town and political center in Japan’s Sengoku and early Edo periods, historically notable as the retirement residence and death place of shogun Tokugawa Ieyasu.
  • 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: 甲信越地方
Triple: [中部地方, containsRegion, 甲信越地方]
Generated description
甲信越地方 is a subregion of central Honshu in Japan, commonly referring to the combined area of Yamanashi, Nagano, and Niigata prefectures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 甲信越地方
Target entity description: 甲信越地方 is a subregion of central Honshu in Japan, commonly referring to the combined area of Yamanashi, Nagano, and Niigata prefectures.
  • A. 川越市
    川越市 is a historic city in Saitama Prefecture, Japan, famed for its well-preserved Edo-period streetscapes and traditional warehouse-style buildings that have earned it the nickname "Little Edo."
  • B. 柏原市
    柏原市は、大阪府南東部に位置し、歴史ある寺社やぶどう栽培などで知られる中規模の都市です。
  • C. 八幡市
    八幡市は、京都府南部に位置し、石清水八幡宮などで知られる歴史と自然に恵まれた都市です。
  • D. 交野市
    交野市は、大阪府北河内地域に位置する自然豊かな住宅都市で、星田妙見宮や天野川などで知られる市です。
  • E. Sunpu, Suruga Province
    Sunpu in Suruga Province was a prominent castle town and political center in Japan’s Sengoku and early Edo periods, historically notable as the retirement residence and death place of shogun Tokugawa Ieyasu.
  • 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_69ca82f08b348190bfb7881944bbff6f completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb8048edb88190a1980ad74818b898 completed March 31, 2026, 8:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc75e94288190ba1905dd4ca172dd completed April 2, 2026, 1:33 a.m.
NEDg Description generation batch_69cdcc86626c8190a4206feedea24b41 completed April 2, 2026, 1:55 a.m.
NED2 Entity disambiguation (via description) batch_69cdcde02e088190be8220f7d18d6700 completed April 2, 2026, 2:01 a.m.
Created at: March 30, 2026, 5:59 p.m.