Triple
T26968394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 岸田文雄内閣 |
E679236
|
entity |
| Predicate | 発足根拠 |
P130309
|
FINISHED |
| Object | 第205回国会での首班指名選挙 |
—
|
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205回国会での首班指名選挙 | Statement: [岸田文雄内閣, 発足根拠, 第205回国会での首班指名選挙]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 発足根拠 Context triple: [岸田文雄内閣, 発足根拠, 第205回国会での首班指名選挙]
-
A.
foundedAsResultOf
Indicates that one entity was established or created as a direct consequence or outcome of another event, action, or circumstance.
-
B.
hasCauseOfEstablishment
chosen
Indicates that an entity was established or founded as a result of a specified cause, reason, or initiating circumstance.
-
C.
establishedInResponseTo
Indicates that something was created, initiated, or set up as a direct reaction to a specific event, condition, or stimulus.
-
D.
foundationFoundedIn
Indicates that a foundation was established or came into existence in a specific year or time period.
-
E.
becameBasisOf
Indicates that one entity served as the foundational source, model, or starting point upon which another entity was developed, derived, or established.
- 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_69eeeb4f3a448190b1e94b2d4776c16e |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f621233f2c81908c237f20c50c2ba3 |
completed | May 2, 2026, 4:06 p.m. |
| PD | Predicate disambiguation | batch_69f611af72ac819094598dd2530d7411 |
completed | May 2, 2026, 3:01 p.m. |
Created at: April 27, 2026, 6:37 a.m.