Triple
T26968416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 岸田文雄内閣 |
E679236
|
entity |
| Predicate | 経済政策 |
P87187
|
FINISHED |
| Object | 賃上げの促進 |
—
|
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: 賃上げの促進 | Statement: [岸田文雄内閣, 経済政策, 賃上げの促進]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 経済政策 Context triple: [岸田文雄内閣, 経済政策, 賃上げの促進]
-
A.
economicPolicyWing
Indicates a relationship where an entity functions as the economic policy division or unit within a larger organization or structure.
-
B.
economicPolicyArea
chosen
Indicates the specific domain or sector of economic policy to which an action, measure, or issue is related.
-
C.
economicPolicyType
Indicates the classification of an economic policy according to its general type or category (e.g., fiscal, monetary, trade).
-
D.
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.
-
E.
economicPolicyOutcome
Indicates the resulting economic conditions, effects, or consequences that arise from implementing a particular economic policy.
- 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.