Triple
T32421901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 民主党幹事長 |
E828480
|
entity |
| Predicate | 所管分野 |
P167631
|
FINISHED |
| Object | 党組織運営 |
—
|
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: 党組織運営 | Statement: [民主党幹事長, 所管分野, 党組織運営]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 所管分野 Context triple: [民主党幹事長, 所管分野, 党組織運営]
-
A.
管理区分
chosen
Indicates a classification used to distinguish how something is managed, controlled, or administered.
-
B.
overseesAcademicDiscipline
Indicates that one entity has managerial or supervisory responsibility over the academic direction, standards, or activities of a particular discipline.
-
C.
oversawArea
Indicates that one entity had supervisory or managerial responsibility over a particular area, region, or domain associated with another entity.
-
D.
subDisciplineOf
Indicates that one discipline is a more specialized or narrower field within another, broader discipline.
-
E.
fieldOfCooperation
Indicates a cooperative relationship in which two or more entities work together within a particular domain, discipline, or area of activity.
- 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_69f3491b28bc8190b75cea7a507f337b |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c28269d08190a72a4ca90e219286 |
completed | May 3, 2026, 3:35 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6eb32c8190bf405b2011fa48f7 |
completed | May 3, 2026, 3:01 a.m. |
Created at: May 1, 2026, 12:54 a.m.