Triple
T12652522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 柏原市 |
E302198
|
entity |
| Predicate | 前身自治体 |
P5557
|
FINISHED |
| Object |
中河内郡国分村
中河内郡国分村 was a former village-level municipality in Nakakawachi District, Osaka Prefecture, Japan, that was later incorporated into the modern city of Kashiwara.
|
E996585
|
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: 中河内郡国分村 | Statement: [柏原市, 前身自治体, 中河内郡国分村]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 中河内郡国分村 Context triple: [柏原市, 前身自治体, 中河内郡国分村]
-
A.
国分寺市
国分寺市は、東京都多摩地域に位置し、歴史ある武蔵国分寺跡や緑豊かな住宅地として知られる市です。
-
B.
Honjo, Saitama Prefecture
Honjo, Saitama Prefecture is a city in central Japan known for its educational institutions and its location in the northern part of the Greater Tokyo area.
-
C.
都筑郡
都筑郡(Tsuzuki District)は、かつて神奈川県に属していた日本の郡で、現在の横浜市都筑区などを含む地域として知られていた行政区画である。
-
D.
本郷区
本郷区 was a former ward of Tokyo, historically known as an educational and cultural center that included areas around the University of Tokyo before being incorporated into modern Bunkyō Ward.
-
E.
Utsunomiya, Tochigi Prefecture, Japan
Utsunomiya is the capital city of Tochigi Prefecture in Japan, known for its gyoza (dumplings) and as a regional commercial and transportation hub north of Tokyo.
- 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: 中河内郡国分村 Triple: [柏原市, 前身自治体, 中河内郡国分村]
Generated description
中河内郡国分村 was a former village-level municipality in Nakakawachi District, Osaka Prefecture, Japan, that was later incorporated into the modern city of Kashiwara.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 中河内郡国分村 Target entity description: 中河内郡国分村 was a former village-level municipality in Nakakawachi District, Osaka Prefecture, Japan, that was later incorporated into the modern city of Kashiwara.
-
A.
国分寺市
国分寺市は、東京都多摩地域に位置し、歴史ある武蔵国分寺跡や緑豊かな住宅地として知られる市です。
-
B.
Honjo, Saitama Prefecture
Honjo, Saitama Prefecture is a city in central Japan known for its educational institutions and its location in the northern part of the Greater Tokyo area.
-
C.
都筑郡
都筑郡(Tsuzuki District)は、かつて神奈川県に属していた日本の郡で、現在の横浜市都筑区などを含む地域として知られていた行政区画である。
-
D.
本郷区
本郷区 was a former ward of Tokyo, historically known as an educational and cultural center that included areas around the University of Tokyo before being incorporated into modern Bunkyō Ward.
-
E.
Utsunomiya, Tochigi Prefecture, Japan
Utsunomiya is the capital city of Tochigi Prefecture in Japan, known for its gyoza (dumplings) and as a regional commercial and transportation hub north of Tokyo.
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96411d87481909127e81755f23964 |
completed | April 10, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6688104d48190939933b93b7e60cc |
completed | May 2, 2026, 9:11 p.m. |
| NEDg | Description generation | batch_69f66c572f848190a8cad6311d3315a3 |
completed | May 2, 2026, 9:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f66cef79148190a052fb9ade3b0d27 |
completed | May 2, 2026, 9:30 p.m. |
Created at: April 9, 2026, 5:18 p.m.