Triple
T27052844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wild Forest |
E684821
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | land-use classification |
C33782
|
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: land-use classification Context triple: [Wild Forest, instanceOf, land-use classification]
-
A.
public land classification
Public land classification is the systematic categorization of government-owned lands based on their designated uses, protections, and management objectives, such as conservation, recreation, resource extraction, or development.
-
B.
land use case
A land use case is a specific scenario or application that illustrates how a particular area of land is designated, managed, and regulated for activities such as residential, commercial, agricultural, industrial, or recreational purposes.
-
C.
points classification
Points classification is a conceptual class that categorizes entities based on accumulated points or scores according to predefined criteria or performance metrics.
-
D.
environmental classification
chosen
Environmental classification is the systematic categorization of environments or environmental conditions based on their physical, biological, chemical, or socio-economic characteristics to support analysis, management, and decision-making.
-
E.
land use plan
A land use plan is a strategic document that guides the allocation, development, and conservation of land within a defined area to balance environmental, social, and economic objectives.
- 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_69ef14829fac8190914bef9ecc3005d7 |
completed | April 27, 2026, 7:47 a.m. |
Created at: April 27, 2026, 8:15 a.m.