Triple
T3896578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warnell School of Forestry and Natural Resources |
E88185
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | school of natural resources |
C14523
|
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: school of natural resources Context triple: [Warnell School of Forestry and Natural Resources, instanceOf, school of natural resources]
-
A.
school of sustainability
A school of sustainability is an educational institution or program dedicated to teaching and advancing knowledge, skills, and practices that promote environmental stewardship, social equity, and long-term economic viability.
-
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.
natural resources management agency
A natural resources management agency is an organization responsible for planning, regulating, and overseeing the sustainable use, conservation, and restoration of natural resources such as land, water, forests, wildlife, and minerals.
-
D.
natural resources law
Natural resources law is the body of legal rules and principles governing the ownership, use, management, and conservation of natural resources such as land, water, minerals, forests, and wildlife.
-
E.
university extension service
A university extension service is an outreach arm of a university that delivers research-based education, resources, and support to communities, industries, and individuals beyond the campus.
- 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_69aed9466d548190939f5217a23ed4ac |
completed | March 9, 2026, 2:29 p.m. |
Created at: March 9, 2026, 3:21 p.m.