Triple
T19344374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | historic landscape of Franklin Park |
E483836
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | urban park landscape |
C218
|
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 landscape Context triple: [historic landscape of Franklin Park, instanceOf, urban park landscape]
-
A.
urban park
chosen
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.
-
B.
urban state park
An urban state park is a publicly managed natural or recreational area located within or adjacent to a city, providing green space, outdoor activities, and conservation of local ecosystems for urban residents and visitors.
-
C.
urban public space
An urban public space is a publicly accessible area within a city—such as streets, parks, plazas, and squares—designed or used for social interaction, movement, recreation, and civic life.
-
D.
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.
-
E.
urban-edge landscape
An urban-edge landscape is a transitional zone where city infrastructure meets natural or semi-natural environments, blending built elements with green spaces to mediate ecological, social, and visual boundaries.
- 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_69d8e8d244f8819080eb1f3491300db2 |
completed | April 10, 2026, 12:10 p.m. |
Created at: April 10, 2026, 1:34 p.m.