Triple
T9707425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forbes State Forest |
E234935
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Pennsylvania state forest |
C26464
|
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: Pennsylvania state forest Context triple: [Forbes State Forest, instanceOf, Pennsylvania state forest]
-
A.
Pennsylvania state park
A Pennsylvania state park is a protected public area within the Commonwealth of Pennsylvania managed for conservation, recreation, and education, typically offering natural landscapes, wildlife habitats, and outdoor activities such as hiking, camping, and boating.
-
B.
New York State park
A New York State park is a publicly managed natural or recreational area within New York State that preserves environmental, historical, or cultural resources while providing outdoor activities and amenities for visitors.
-
C.
Adirondack Forest Preserve unit
An Adirondack Forest Preserve unit is a designated tract of public land within New York’s Adirondack Park that is legally protected to remain “forever wild,” managed for conservation, recreation, and ecological integrity.
-
D.
part of a national forest
A part of a national forest is a designated subsection of federally protected woodland and associated ecosystems managed for conservation, recreation, and resource use within the larger national forest boundary.
-
E.
national forest
A national forest is a federally designated area of public land managed for multiple uses, including conservation, recreation, wildlife habitat, and sustainable 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_69ca84cc78808190a56f3402b7c139a7 |
completed | March 30, 2026, 2:12 p.m. |
Created at: March 30, 2026, 8:19 p.m.