Triple
T10447482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 大平正芳 |
E246329
|
entity |
| Predicate | 前職（首相直前） |
P94085
|
FINISHED |
| Object | 自由民主党総裁 |
—
|
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: 自由民主党総裁 | Statement: [大平正芳, 前職（首相直前）, 自由民主党総裁]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 前職（首相直前） Context triple: [大平正芳, 前職（首相直前）, 自由民主党総裁]
-
A.
戦前の役職
Indicates a role or position that an entity held before the war.
-
B.
predecessorAsPrimeMinister
Indicates that one person previously held the office of Prime Minister immediately before another person.
-
C.
precededBy (as Prime Minister)
Indicates that one person previously held the office of Prime Minister before another person.
-
D.
precededInOfficeAsChancellorBy
Indicates that one individual assumed the role of Chancellor after another specific individual, who held the office immediately before them.
-
E.
predecessorInOffice
Indicates that one officeholder directly held a particular position before another officeholder in an official succession.
- F. None of above. chosen
Provenance (4 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fe083cd881909d2d8ad75d1d94cb |
completed | April 7, 2026, 12:52 p.m. |
| PD | Predicate disambiguation | batch_69d4fb73a5e48190a8df4775bc5da80f |
completed | April 7, 2026, 12:41 p.m. |
| PDg | Predicate description generation | batch_69d4fe058fcc81909428137d9ffd6d90 |
completed | April 7, 2026, 12:52 p.m. |
Created at: April 6, 2026, 12:16 p.m.