Triple
T33371991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 第1次安倍内閣 |
E854515
|
entity |
| Predicate | 文部科学大臣 |
P97331
|
FINISHED |
| Object | 伊吹文明 |
—
|
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: 伊吹文明 | Statement: [第1次安倍内閣, 文部科学大臣, 伊吹文明]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 文部科学大臣 Context triple: [第1次安倍内閣, 文部科学大臣, 伊吹文明]
-
A.
ministerOfEducationCultureSportsScienceAndTechnology
Indicates that a person holds the official position of Minister responsible for education, culture, sports, science, and technology within a government.
-
B.
文部大臣在任期間終了
Indicates that a person's term of office as Minister of Education has ended.
-
C.
educationMinister
chosen
Indicates that one entity serves as the education minister (or holds the ministerial role responsible for education) in relation to another entity, typically a government or jurisdiction.
-
D.
hasEducationalMinistry
Indicates that an entity maintains or is associated with a ministry or department responsible for education-related functions or policies.
-
E.
ministerIs
Indicates that one entity serves in the role or capacity of a minister in relation to another 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_69f3496ca10c8190908640d18fa00832 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e3156ea48190b604e414665ef351 |
completed | May 3, 2026, 5:54 a.m. |
| PD | Predicate disambiguation | batch_69f6de0b9ba48190887c9eb5d06a2e94 |
completed | May 3, 2026, 5:32 a.m. |
Created at: May 1, 2026, 1:35 a.m.