Triple
T8325380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 岸信介 |
E194938
|
entity |
| Predicate | 内閣 |
P41215
|
FINISHED |
| Object | 第56代内閣総理大臣 |
—
|
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56代内閣総理大臣 | Statement: [岸信介, 内閣, 第56代内閣総理大臣]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 内閣 Context triple: [岸信介, 内閣, 第56代内閣総理大臣]
-
A.
cabinetOf
chosen
Indicates that one entity serves as the cabinet or governing body associated with another entity, typically a state, government, or leader.
-
B.
hasMinister
Indicates that one entity serves as the minister (political, religious, or administrative official) responsible for or associated with another entity.
-
C.
ministerialDepartmentOf
Indicates that one entity is a ministerial department that is formally part of, and subordinate to, another governing body or jurisdiction.
-
D.
servedInCabinetOf
Indicates that one person held a position as a member of the governmental cabinet led by another person.
-
E.
第何代内閣総理大臣
Indicates the ordinal position of a person in the sequence of individuals who have served as Prime Minister (e.g., "the Nth Prime Minister").
- 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_69ca82e7a8a88190a32bb5cc0feb012d |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f7fba688190b696593dfb2cde5d |
completed | March 31, 2026, 8:02 a.m. |
| PD | Predicate disambiguation | batch_69cb70c3231c81909e3d463192c9de22 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 5:56 p.m.