Triple
T26968414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 岸田文雄内閣 |
E679236
|
entity |
| Predicate | 安全保障政策 |
P161399
|
FINISHED |
| Object | 敵基地攻撃能力（反撃能力）の保有方針 |
—
|
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: 敵基地攻撃能力（反撃能力）の保有方針 | Statement: [岸田文雄内閣, 安全保障政策, 敵基地攻撃能力（反撃能力）の保有方針]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 安全保障政策 Context triple: [岸田文雄内閣, 安全保障政策, 敵基地攻撃能力（反撃能力）の保有方針]
-
A.
安全保障政策
chosen
Indicates a relationship where an authority or organization establishes and implements policies and measures to ensure the security and protection of a state or community from threats.
-
B.
securityGuarantee
Indicates a commitment by one party to protect or defend another party against specified threats or risks.
-
C.
protectionPolicy
Indicates that one entity establishes or enforces rules or measures to safeguard another entity from harm, loss, or risk.
-
D.
securedAgainst
Indicates that one entity is protected or safeguarded against threats, risks, or harmful actions originating from another entity or source.
-
E.
securityArrangementsBy
Indicates that one entity is responsible for providing, organizing, or overseeing security arrangements for another entity or situation.
- 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_69f61b3ee7b08190a0a1bc5d26b757aa |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 6:37 a.m.