Triple
T26968397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 岸田文雄内閣 |
E679236
|
entity |
| Predicate | 主要政策分野 |
P63712
|
FINISHED |
| Object | 新型コロナウイルス感染症対策 |
—
|
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: 新型コロナウイルス感染症対策 | Statement: [岸田文雄内閣, 主要政策分野, 新型コロナウイルス感染症対策]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 主要政策分野 Context triple: [岸田文雄内閣, 主要政策分野, 新型コロナウイルス感染症対策]
-
A.
相关政策
Indicates that there exists a relevant or associated policy that applies to, governs, or influences the specified entity or situation.
-
B.
实施国家
Indicates the country that carries out, enforces, or implements a given policy, measure, action, or arrangement.
-
C.
majorPolicy
chosen
Indicates a relationship where a policy is classified as a primary or highly significant guiding rule or course of action within a system or organization.
-
D.
economicPolicyArea
Indicates the specific domain or sector of economic policy to which an action, measure, or issue is related.
-
E.
economicPolicyOrientation
Indicates the general stance or approach an entity takes toward economic policy, such as its preferred principles, priorities, or strategies in managing the economy.
- 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.