Triple
T33371997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 第1次安倍内閣 |
E854515
|
entity |
| Predicate | 国土交通大臣 |
P97332
|
FINISHED |
| Object | 冬柴鐵三 |
—
|
NE NERFINISHED |
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: 冬柴鐵三 | Statement: [第1次安倍内閣, 国土交通大臣, 冬柴鐵三]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 国土交通大臣 Context triple: [第1次安倍内閣, 国土交通大臣, 冬柴鐵三]
-
A.
transportMinister
chosen
Indicates that one entity serves as the transport minister (i.e., the government official responsible for transportation matters) of another entity, typically a country or region.
-
B.
ministerOfEconomyTradeAndIndustry
Indicates that a person holds the official government position of Minister of Economy, Trade and Industry for a given jurisdiction.
-
C.
ministerIs
Indicates that one entity serves in the role or capacity of a minister in relation to another entity.
-
D.
ministerOfEducationCultureSportsScienceAndTechnology
Indicates that a person holds the official position of Minister responsible for education, culture, sports, science, and technology within a government.
-
E.
railwayMinistry
Indicates a relationship where an entity serves as, is governed by, or is otherwise officially associated with a ministry responsible for railways or railway transportation.
- 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.