Triple
T26968419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 岸田文雄内閣 |
E679236
|
entity |
| Predicate | 気候変動政策 |
P53738
|
FINISHED |
| Object | 2050年カーボンニュートラル目標の維持 |
—
|
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: 2050年カーボンニュートラル目標の維持 | Statement: [岸田文雄内閣, 気候変動政策, 2050年カーボンニュートラル目標の維持]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 気候変動政策 Context triple: [岸田文雄内閣, 気候変動政策, 2050年カーボンニュートラル目標の維持]
-
A.
climateProtection
Indicates actions, policies, or measures aimed at preventing, reducing, or mitigating harmful impacts on the climate and stabilizing the Earth’s climate system.
-
B.
shareEnvironmentalPolicy
Indicates that two or more entities have the same or closely aligned environmental policy or stance.
-
C.
climateTransitionTo
Indicates a change in climate conditions from one state or regime to another over time.
-
D.
hasEnvironmentalPolicy
chosen
Indicates that an entity has established, adopted, or follows a formal policy or set of guidelines related to environmental practices or impacts.
-
E.
climate
Indicates a relationship where environmental or atmospheric conditions influence, shape, or characterize something (such as a place, system, or process).
- 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.