Triple
T18415441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 鈴木善幸 |
E441873
|
entity |
| Predicate | 国会議員種別 |
P22253
|
FINISHED |
| Object | 衆議院議員 |
—
|
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: 衆議院議員 | Statement: [鈴木善幸, 国会議員種別, 衆議院議員]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 国会議員種別 Context triple: [鈴木善幸, 国会議員種別, 衆議院議員]
-
A.
typeOfPolitician
chosen
Indicates that one politician belongs to a specific category or role of political office (e.g., senator, mayor, minister) within a political system.
-
B.
typeOfParliamentaryBody
Indicates the specific kind or classification of a parliamentary body that an entity represents (e.g., lower house, upper house, unicameral chamber).
-
C.
roleInCongress
Indicates the specific position or function an individual holds within a legislative congress.
-
D.
electedChamber
Indicates that an individual has been chosen through an election to serve as a member of a specific legislative chamber.
-
E.
hasLegislativeType
Indicates that something is associated with, classified by, or characterized as a particular type or category of legislation or legislative measure.
- 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_69d8b9eb8a508190a942fd75ebd8b1dc |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51a278fdc8190aa81a2ade682d942 |
completed | April 19, 2026, 6:08 p.m. |
| PD | Predicate disambiguation | batch_69e469bf7f74819096a01173493412c2 |
completed | April 19, 2026, 5:35 a.m. |
Created at: April 10, 2026, 10:47 a.m.