Triple
T4766471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 池田勇人 |
E105823
|
entity |
| Predicate | 内閣総理大臣在任期間 |
P54275
|
FINISHED |
| Object | 1960年から1964年 |
—
|
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: 1960年から1964年 | Statement: [池田勇人, 内閣総理大臣在任期間, 1960年から1964年]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 内閣総理大臣在任期間 Context triple: [池田勇人, 内閣総理大臣在任期間, 1960年から1964年]
-
A.
primeMinisterTerm
chosen
Indicates the period of time during which a person holds the office and exercises the role of prime minister of a government.
-
B.
termInOffice
Indicates the period during which an individual officially holds a particular office or position.
-
C.
heldOfficeOfPrimeMinisterThrough
Indicates that an entity continuously occupied and exercised the role and responsibilities of Prime Minister throughout a specified time period.
-
D.
numberOfTermsAsPrimeMinister
Indicates how many separate terms an individual has served in the role of prime minister.
-
E.
spansPresidentialTerm
Indicates that an event, period, or entity extends across the duration of a specified presidential term, covering at least part of that term.
- 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_69bd43f226fc8190b867cc249c2a9042 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd686ef1b08190ad60375592c9d6c0 |
completed | March 20, 2026, 3:31 p.m. |
| PD | Predicate disambiguation | batch_69bd622807f881908e4bcb14f7731bac |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:21 p.m.