Triple
T7668159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 河野太郎 |
E173676
|
entity |
| Predicate | 役職 |
P3459
|
FINISHED |
| Object | 行政改革担当大臣 |
E26813
|
NE 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: 行政改革担当大臣 | Statement: [河野太郎, 役職, 行政改革担当大臣]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 行政改革担当大臣 Context triple: [河野太郎, 役職, 行政改革担当大臣]
-
A.
Minister for Administrative Reform of Japan
chosen
The Minister for Administrative Reform of Japan is a cabinet-level government post responsible for leading bureaucratic, regulatory, and digitalization reforms to improve the efficiency and transparency of Japan’s public administration.
-
B.
国務大臣
国務大臣は、日本の内閣を構成し各行政分野の政策立案と執行を担う高位の政府閣僚を指す。
-
C.
内閣法制局長官
内閣法制局長官は、日本の内閣法制局を統括し、政府提出法案や条約などの法的審査・解釈を担う高級官職である。
-
D.
Secretary of State for Administrative Simplification
The Secretary of State for Administrative Simplification is a Belgian government post responsible for reducing bureaucratic complexity and streamlining administrative procedures.
-
E.
池田勇人
池田勇人 was a Japanese politician who served as Prime Minister in the early 1960s and is best known for promoting rapid economic growth and the “income-doubling plan.”
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c699562484819086752091e3164a27 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c701c26ffc8190894fdef92f877f38 |
completed | March 27, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c89b260000819088d744ea8dc53cd2 |
completed | March 29, 2026, 3:23 a.m. |
Created at: March 27, 2026, 4 p.m.