Triple
T7585784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Park water system |
E179608
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | urban park water feature network |
C6053
|
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: urban park water feature network Context triple: [Central Park water system, instanceOf, urban park water feature network]
-
A.
urban watercourse
An urban watercourse is a natural or engineered channel of flowing water that runs through a city or town, shaped and managed by surrounding urban infrastructure and land use.
-
B.
urban park system component
An urban park system component is an individual physical or programmatic element—such as a park, trail, plaza, facility, or natural feature—that collectively contributes to the recreational, ecological, and social functions of a city’s interconnected green space network.
-
C.
urban park
An urban park is a publicly accessible green space within a city that provides recreational areas, natural scenery, and social gathering places for residents and visitors.
-
D.
river valley park system
A river valley park system is an interconnected network of parks, trails, and natural areas along a river corridor designed to protect ecosystems, manage floodplains, and provide recreational and scenic opportunities for the public.
-
E.
waterway network
chosen
A waterway network is an interconnected system of natural and artificial water channels (such as rivers, canals, and streams) designed or utilized for the movement, distribution, and management of water and waterborne transport.
- 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_69c69f335248819093c1006f30513708 |
completed | March 27, 2026, 3:16 p.m. |
Created at: March 27, 2026, 3:52 p.m.