Triple
T5936616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 吉田茂 |
E132059
|
entity |
| Predicate | 在任期間 |
P17403
|
FINISHED |
| Object | 1946-05-22〜1947-05-24 |
—
|
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: 1946-05-22〜1947-05-24 | Statement: [吉田茂, 在任期間, 1946-05-22〜1947-05-24]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 在任期間 Context triple: [吉田茂, 在任期間, 1946-05-22〜1947-05-24]
-
A.
termInOffice
chosen
Indicates the period during which an individual officially holds a particular office or position.
-
B.
spansPresidentialTerm
Indicates that an event, period, or entity extends across the duration of a specified presidential term, covering at least part of that term.
-
C.
termLength
Indicates the duration or period of time for which an agreement, position, or condition remains in effect.
-
D.
governedDuringPeriod
Indicates that a governing entity exercised authority or control over another entity throughout a specified time period.
-
E.
partOfWorkPeriod
Indicates that a specific time span is contained within, and belongs to, a larger defined work period.
- 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_69c0085c55dc8190aa90e242c956e2fa |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03f26f51881908cc253fe5775a1fc |
completed | March 22, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_69c03355caf08190b960563a1aed23f9 |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 4:01 p.m.