Triple
T4766482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 池田勇人 |
E105823
|
entity |
| Predicate | 担当大臣経験 |
P7820
|
FINISHED |
| Object | 大蔵大臣 |
—
|
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: 大蔵大臣 | Statement: [池田勇人, 担当大臣経験, 大蔵大臣]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 担当大臣経験 Context triple: [池田勇人, 担当大臣経験, 大蔵大臣]
-
A.
heldOfficeOfPrimeMinisterThrough
Indicates that an entity continuously occupied and exercised the role and responsibilities of Prime Minister throughout a specified time period.
-
B.
hasMinisterialRank
Indicates that an entity holds a position or status equivalent to a government minister in rank.
-
C.
hasMinister
chosen
Indicates that one entity serves as the minister (political, religious, or administrative official) responsible for or associated with another entity.
-
D.
hasMinisterialResponsibilityFor
Indicates that one entity (typically a minister or ministry) holds official responsibility or oversight for the functions, policies, or operations of another entity.
-
E.
hasLayMinisters
Indicates that an entity includes or is served by lay ministers (non-ordained individuals performing ministerial roles).
- 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_69bd43f226fc8190b867cc249c2a9042 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd686ef1b08190ad60375592c9d6c0 |
completed | March 20, 2026, 3:31 p.m. |
| PD | Predicate disambiguation | batch_69bd622807f881908e4bcb14f7731bac |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:21 p.m.