Triple
T18619636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | REDD+ |
E455113
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | forest-based climate mitigation mechanism |
C40793
|
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: forest-based climate mitigation mechanism Context triple: [REDD+, instanceOf, forest-based climate mitigation mechanism]
-
A.
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.
-
B.
research forest
A research forest is a designated woodland area managed and studied systematically to investigate ecological processes, forest dynamics, and the impacts of natural and human influences over time.
-
C.
cloud forest reserve
A cloud forest reserve is a protected high-altitude tropical or subtropical forest area characterized by persistent mist and high biodiversity, conserved to safeguard its unique ecosystems and species.
-
D.
forest clearing
A forest clearing is an open, unobstructed area within a forest where trees are sparse or absent, allowing sunlight to reach the ground and support diverse undergrowth.
-
E.
forest conservation law
Forest conservation law is a body of legal rules and policies designed to protect, manage, and sustainably use forest ecosystems by regulating activities such as logging, land conversion, wildlife protection, and resource extraction.
- F. None of above. chosen
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_69d8d38bbe7c8190bdec3138e7d413c9 |
completed | April 10, 2026, 10:40 a.m. |
Created at: April 10, 2026, 11:46 a.m.