Triple
T25307324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State Water Efficiency and Enhancement Program |
E634515
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | greenhouse gas reduction program |
C2060
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: greenhouse gas reduction program Context triple: [State Water Efficiency and Enhancement Program, instanceOf, greenhouse gas reduction program]
-
A.
climate protection program
A climate protection program is an organized set of policies, actions, and measures designed to reduce greenhouse gas emissions, enhance climate resilience, and promote sustainable environmental practices.
-
B.
cap-and-trade program
A cap-and-trade program is a regulatory system that sets an overall limit on emissions and allows entities to buy and sell emission allowances, creating a market incentive to reduce pollution at the lowest cost.
-
C.
environmental programme
chosen
An environmental programme is an organized set of coordinated activities, policies, and initiatives designed to protect, manage, or improve the natural environment and promote sustainable practices.
-
D.
low‑carbon fuel project
A low‑carbon fuel project is an initiative that develops, produces, or deploys fuels with significantly reduced lifecycle greenhouse gas emissions compared to conventional fossil fuels, often involving advanced technologies, sustainable feedstocks, and emissions monitoring to support climate and energy transition goals.
-
E.
greenhouse gas concentration trajectory framework
A greenhouse gas concentration trajectory framework is a structured approach for defining, modeling, and comparing possible future pathways of atmospheric greenhouse gas levels under different socio-economic, technological, and policy scenarios.
- F. None of above.
Provenance (1 batch)
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_69e75a972c6481909bc11710e8d30a6c |
completed | April 21, 2026, 11:08 a.m. |
Created at: April 21, 2026, 1:25 p.m.