Triple
T15651982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 森喜朗 |
E376333
|
entity |
| Predicate | 衆議院議員選出選挙区 |
P21595
|
FINISHED |
| Object |
石川1区
石川1区は、石川県の一部を区域とし、かつて首相を務めた森喜朗らを選出してきた日本の衆議院小選挙区である。
|
E1169207
|
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: 石川1区 | Statement: [森喜朗, 衆議院議員選出選挙区, 石川1区]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 石川1区 Context triple: [森喜朗, 衆議院議員選出選挙区, 石川1区]
-
A.
小石川区
小石川区 was a former ward of Tokyo that existed before the 1947 reorganization of the city’s wards into the present-day Bunkyō ward.
-
B.
石川
石川は大阪府東部を流れ、大和川水系に属する中小河川です。
-
C.
香川1区
香川1区は、香川県中部(高松市周辺)を中心とする地域を範囲とし、かつて内閣総理大臣を務めた大平正芳らを輩出した衆議院小選挙区である。
-
D.
磯子区
磯子区 is one of the 18 administrative wards of Yokohama in Kanagawa Prefecture, Japan, known as a coastal industrial and residential area facing Tokyo Bay.
-
E.
荒川区
荒川区は、東京都東部に位置し、下町情緒と住宅地・商業地が混在する特別区の一つです。
- 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: 石川1区 Triple: [森喜朗, 衆議院議員選出選挙区, 石川1区]
Generated description
石川1区は、石川県の一部を区域とし、かつて首相を務めた森喜朗らを選出してきた日本の衆議院小選挙区である。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 石川1区 Target entity description: 石川1区は、石川県の一部を区域とし、かつて首相を務めた森喜朗らを選出してきた日本の衆議院小選挙区である。
-
A.
小石川区
小石川区 was a former ward of Tokyo that existed before the 1947 reorganization of the city’s wards into the present-day Bunkyō ward.
-
B.
石川
石川は大阪府東部を流れ、大和川水系に属する中小河川です。
-
C.
香川1区
香川1区は、香川県中部(高松市周辺)を中心とする地域を範囲とし、かつて内閣総理大臣を務めた大平正芳らを輩出した衆議院小選挙区である。
-
D.
磯子区
磯子区 is one of the 18 administrative wards of Yokohama in Kanagawa Prefecture, Japan, known as a coastal industrial and residential area facing Tokyo Bay.
-
E.
荒川区
荒川区は、東京都東部に位置し、下町情緒と住宅地・商業地が混在する特別区の一つです。
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 衆議院議員選出選挙区 Context triple: [森喜朗, 衆議院議員選出選挙区, 石川1区]
-
A.
representedElectoralDistrict
Indicates that an elected official served as the representative for a specific electoral district or constituency.
-
B.
electedFrom
chosen
Indicates that an individual has been chosen through an election to represent or serve a specific geographic area, constituency, or jurisdiction.
-
C.
lowerHouseElectedBy
Indicates that the members of the lower house of a legislature are chosen through a specified method or by a particular group of voters or body.
-
D.
electorate
Indicates that an entity functions as the body of people entitled to vote in relation to a particular political unit, office, or decision.
-
E.
electsCouncillorsTo
Indicates a relationship where one entity selects or chooses individuals to serve as councillors in another entity or governing body.
- 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04eeed2d48190a7a8a618d90012d0 |
completed | April 16, 2026, 2:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6797954c8190ac05ee3db634efa7 |
completed | May 9, 2026, 4:57 p.m. |
| NEDg | Description generation | batch_69ff68481ff881909c23ae20bd3a9ff8 |
completed | May 9, 2026, 5 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff6912d86c8190a30f4d36ed98fc0f |
completed | May 9, 2026, 5:04 p.m. |
| PD | Predicate disambiguation | batch_69deda890140819082608931e993dd61 |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:15 a.m.