Triple
T20695696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stormwater Treatment Areas |
E508654
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | engineered wetland system |
C41751
|
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: engineered wetland system Context triple: [Stormwater Treatment Areas, instanceOf, engineered wetland system]
-
A.
engineered waterway
An engineered waterway is a human-made or heavily modified channel or system designed to control, convey, or manage water for purposes such as navigation, irrigation, drainage, flood control, or power generation.
-
B.
wastewater treatment facility
A wastewater treatment facility is an engineered system that collects, treats, and purifies sewage and industrial effluent to remove contaminants before safely returning the water to the environment or reusing it.
-
C.
engineered system
chosen
An engineered system is a deliberately designed and organized set of interacting components, processes, and resources created by humans to perform specific functions and achieve defined objectives within given constraints.
-
D.
restored wetland
A restored wetland is a previously degraded or altered wetland area that has been intentionally rehabilitated to recover its natural hydrology, vegetation, and ecological functions.
-
E.
wetland
A wetland is a transitional ecosystem between terrestrial and aquatic environments characterized by saturated soils, standing or slow-moving water, and vegetation adapted to waterlogged conditions.
- 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_69e0b4c2b2a481909e31e9cb8f81ab55 |
completed | April 16, 2026, 10:06 a.m. |
Created at: April 16, 2026, 12:10 p.m.