Triple
T16016688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 山口那津男 |
E388484
|
entity |
| Predicate | 参議院議員としての選挙区 |
P15002
|
FINISHED |
| Object | 東京都選挙区 |
—
|
LITERAL FINISHED |
How this triple was built (2 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: 東京都選挙区 | Statement: [山口那津男, 参議院議員としての選挙区, 東京都選挙区]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 参議院議員としての選挙区 Context triple: [山口那津男, 参議院議員としての選挙区, 東京都選挙区]
-
A.
representedElectoralDistrict
chosen
Indicates that an elected official served as the representative for a specific electoral district or constituency.
-
B.
senatorialDistrict
Indicates the specific senatorial district to which an entity (such as a person, place, or office) is assigned or associated.
-
C.
fieldOfRepresentation
Indicates that something serves as a representational medium or domain through which another entity is depicted, modeled, or expressed.
-
D.
alsoInElectoralRegion
Indicates that an entity is located within, or belongs to, the same electoral region as another entity.
-
E.
electoralAreaOf
Indicates that a given electoral area (such as a district or ward) is the designated electoral division associated with a particular jurisdiction or entity.
- F. None of above.
Provenance (3 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1858a00888190b8505071575dc56f |
completed | April 17, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e1826a4f7c8190aba6d4f1075141b0 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:55 a.m.