Triple
T9893644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 国務大臣 |
E181514
|
entity |
| Predicate | historicalPrecursor |
P97
|
FINISHED |
| Object | 国務大臣（大日本帝国憲法下） |
E181514
|
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: 国務大臣（大日本帝国憲法下） | Statement: [国務大臣, historicalPrecursor, 国務大臣（大日本帝国憲法下）]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 国務大臣（大日本帝国憲法下） Context triple: [国務大臣, historicalPrecursor, 国務大臣（大日本帝国憲法下）]
-
A.
国務大臣
chosen
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。
-
B.
Minister for Administrative Reform of Japan
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.
-
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.
Bundesminister
Bundesminister is the German term for a federal government minister who heads a specific ministry within the Federal Cabinet.
-
E.
逓信大臣
逓信大臣は、日本の旧逓信省を統括し郵便・電信・電話などの通信行政を担当した国務大臣の役職である。
- 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_69ca8283a6708190801af7a25a7ebb9f |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb48271d48190b718c7f6b2fe315b |
completed | April 2, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1eb0d984c81908408f90f156624e5 |
completed | April 5, 2026, 4:54 a.m. |
Created at: March 30, 2026, 8:39 p.m.