Triple
T37708633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mississauga parklands |
E939264
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | network of parklands |
C22549
|
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: network of parklands Context triple: [Mississauga parklands, instanceOf, network of parklands]
-
A.
collection of parks
chosen
A collection of parks is an organized grouping of multiple park areas, managed or considered together as a unified set for recreation, conservation, or urban planning purposes.
-
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.
riverside parklands
Riverside parklands are public green spaces located along riverbanks that provide recreational areas, natural habitat, and scenic corridors integrating water, vegetation, and human use.
-
D.
parkland landscape
A parkland landscape is a designed or natural area characterized by open grassy spaces interspersed with groups of trees, paths, and recreational features, often intended for public enjoyment and ecological value.
-
E.
network of protected areas
A network of protected areas is a coordinated system of geographically distinct conservation sites managed collectively to maintain biodiversity, ecological processes, and landscape connectivity.
- 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_69f76edb49dc8190b951dce9ce6ef789 |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:18 p.m.