Triple

T18712317
Position Surface form Disambiguated ID Type / Status
Subject Koromogawa, Mutsu Province E457547 entity
Predicate hasNameInJapanese P28734 FINISHED
Object 衣川
衣川 is a historical Japanese locality whose name refers to the Koromogawa area in the former Mutsu Province in northeastern Japan.
E1338633 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: 衣川 | Statement: [Koromogawa, Mutsu Province, hasNameInJapanese, 衣川]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 衣川
Context triple: [Koromogawa, Mutsu Province, hasNameInJapanese, 衣川]
  • A. 玉川
    玉川 is a district in Tokyo’s Setagaya Ward known for its riverside location along the Tama River and its mix of residential areas and commercial facilities.
  • B. 新川洋司
    新川洋司は、『メタルギア』シリーズで知られる日本のイラストレーター兼メカニックデザイナーです。
  • C. 吉井川
    吉井川は、岡山県などを流れて瀬戸内海に注ぐ、中国地方を代表する一級河川の一つです。
  • D. 夙川
    夙川 is a scenic river area in Nishinomiya, Hyōgo Prefecture, Japan, renowned for its cherry blossom-lined banks and popular hanami spots.
  • E. 勝川春章
    勝川春章 was an influential 18th-century Japanese ukiyo-e artist renowned for his actor portraits and for mentoring the famous printmaker Katsushika Hokusai.
  • 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: 衣川
Triple: [Koromogawa, Mutsu Province, hasNameInJapanese, 衣川]
Generated description
衣川 is a historical Japanese locality whose name refers to the Koromogawa area in the former Mutsu Province in northeastern Japan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 衣川
Target entity description: 衣川 is a historical Japanese locality whose name refers to the Koromogawa area in the former Mutsu Province in northeastern Japan.
  • A. 玉川
    玉川 is a district in Tokyo’s Setagaya Ward known for its riverside location along the Tama River and its mix of residential areas and commercial facilities.
  • B. 新川洋司
    新川洋司は、『メタルギア』シリーズで知られる日本のイラストレーター兼メカニックデザイナーです。
  • C. 吉井川
    吉井川は、岡山県などを流れて瀬戸内海に注ぐ、中国地方を代表する一級河川の一つです。
  • D. 夙川
    夙川 is a scenic river area in Nishinomiya, Hyōgo Prefecture, Japan, renowned for its cherry blossom-lined banks and popular hanami spots.
  • E. 勝川春章
    勝川春章 was an influential 18th-century Japanese ukiyo-e artist renowned for his actor portraits and for mentoring the famous printmaker Katsushika Hokusai.
  • 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_69d8d392aad081909fe31aa03e6e97d1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5671c53988190bfc132c853cebd02 completed April 19, 2026, 11:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a052b413d348190b34e236d44fb541a completed May 14, 2026, 1:54 a.m.
NEDg Description generation batch_6a052c40cd04819096757952a275ddcf completed May 14, 2026, 1:58 a.m.
NED2 Entity disambiguation (via description) batch_6a052d1122ac819081c664d90d784a82 completed May 14, 2026, 2:01 a.m.
Created at: April 10, 2026, 11:50 a.m.