Triple
T12652520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 柏原市 |
E302198
|
entity |
| Predicate | 前身自治体 |
P5557
|
FINISHED |
| Object |
中河内郡柏原町
中河内郡柏原町は、大阪府東部に位置し現在の柏原市の基盤となった旧町制自治体である。
|
E302198
|
NE FINISHED |
How this triple was built (5 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: 中河内郡柏原町 | Statement: [柏原市, 前身自治体, 中河内郡柏原町]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 中河内郡柏原町 Context triple: [柏原市, 前身自治体, 中河内郡柏原町]
-
A.
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。
-
B.
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。
-
C.
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.
-
D.
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.
-
E.
茨木市
茨木市は、大阪府北部に位置し、住宅地と大学・研究機関が集まる文教都市として発展している市です。
- 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: 中河内郡柏原町 Triple: [柏原市, 前身自治体, 中河内郡柏原町]
Generated description
中河内郡柏原町は、大阪府東部に位置し現在の柏原市の基盤となった旧町制自治体である。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 中河内郡柏原町 Target entity description: 中河内郡柏原町は、大阪府東部に位置し現在の柏原市の基盤となった旧町制自治体である。
-
A.
柏原市
chosen
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。
-
B.
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。
-
C.
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.
-
D.
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.
-
E.
茨木市
茨木市は、大阪府北部に位置し、住宅地と大学・研究機関が集まる文教都市として発展している市です。
- F. None of above.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 前身自治体 Context triple: [柏原市, 前身自治体, 中河内郡柏原町]
-
A.
formerMunicipalityOf
chosen
Indicates that an entity was previously an independent municipality that has since been merged into or replaced by the referenced municipality.
-
B.
formerAutonomousRegion
Indicates that an entity was previously an autonomous region but no longer holds that status.
-
C.
formerNameOfDistrict
Indicates that one district previously had a different official name, which is the value linked by this predicate.
-
D.
formerAdministrativeTerritory
Indicates that one entity was previously an official administrative territory of another entity but no longer holds that status.
-
E.
formerNameOfAreaWithin
Indicates that one area previously had a different name while remaining within the same larger encompassing area.
- F. None of above.
Provenance (6 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_69d9617b07ec8190b714f04ae6654060 |
completed | April 10, 2026, 8:45 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. |
| PD | Predicate disambiguation | batch_69d960b78ce8819091f15dd5013e6da5 |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:18 p.m.