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.