Triple
T5763705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 麻生太郎 |
E127157
|
entity |
| Predicate | 内閣総理大臣番号 |
P59193
|
FINISHED |
| Object | 第92代 |
—
|
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: 第92代 | Statement: [麻生太郎, 内閣総理大臣番号, 第92代]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 内閣総理大臣番号 Context triple: [麻生太郎, 内閣総理大臣番号, 第92代]
-
A.
第何代内閣総理大臣
chosen
Indicates the ordinal position of a person in the sequence of individuals who have served as Prime Minister (e.g., "the Nth Prime Minister").
-
B.
honoursOrderNumberOfPrimeMinister
Indicates that an entity holds or displays the official order number assigned to a specific prime minister in the sequence of officeholders.
-
C.
numberOfTermsAsPrimeMinister
Indicates how many separate terms an individual has served in the role of prime minister.
-
D.
firstMinister
Indicates that one entity serves as the first minister (head of government or chief minister) of another entity, such as a country, region, or jurisdiction.
-
E.
officeHoldersNumbered
Indicates that a specific office or position has its holders identified and distinguished by assigned numbers (e.g., first holder, second holder, etc.).
- 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_69c00833a3fc81908f4bc29ed011b7a6 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0296e12d48190bd120879723bb6e8 |
completed | March 22, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69c021cc68648190bb86d049ebe80f12 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:49 p.m.