Triple
T29602959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Science Foundation Long Term Ecological Research Network |
E754499
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | ecological research network |
C55949
|
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: ecological research network Context triple: [National Science Foundation Long Term Ecological Research Network, instanceOf, ecological research network]
-
A.
ecological research area
An ecological research area is a designated geographic region where scientists systematically study the relationships among organisms, their environments, and ecological processes over time.
-
B.
habitat network
A habitat network is an interconnected system of natural areas and corridors that facilitates the movement, survival, and genetic exchange of species across a landscape.
-
C.
Long Term Ecological Research site
A Long Term Ecological Research site is a designated location where scientists conduct sustained, systematic studies of ecological processes and environmental change over extended periods, often decades.
-
D.
forest research network
A forest research network is a collaborative system of institutions, scientists, and stakeholders that share data, expertise, and resources to study, monitor, and sustainably manage forest ecosystems.
-
E.
environmental observation network
An environmental observation network is a coordinated system of sensors, platforms, and data infrastructure designed to continuously monitor, collect, and share information about environmental conditions across spatial and temporal scales.
- 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_69f0ef84e5d08190a0df17f5930ceed3 |
completed | April 28, 2026, 5:33 p.m. |
Created at: April 28, 2026, 6:23 p.m.