Triple
T38490256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Clearing Folk School landscape (Ellison Bay, Wisconsin) |
E918035
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | educational campus landscape |
C16315
|
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: educational campus landscape Context triple: [The Clearing Folk School landscape (Ellison Bay, Wisconsin), instanceOf, educational campus landscape]
-
A.
campus landscape feature
A campus landscape feature is a designed or natural outdoor element—such as lawns, gardens, plazas, pathways, water features, or sculptures—that shapes the aesthetic, ecological, and social character of a campus environment.
-
B.
university campus area
A university campus area is the designated physical environment of a university, encompassing academic buildings, student housing, recreational facilities, green spaces, and supporting infrastructure where educational and social activities occur.
-
C.
design campus
A design campus is a dedicated educational and creative environment where students, faculty, and professionals collaborate across studios, labs, and shared spaces to explore, develop, and apply design thinking and practice.
-
D.
campus
chosen
A campus is a defined area of land that houses the buildings, facilities, and open spaces of an educational institution, supporting academic, residential, and social activities.
-
E.
environmental sciences campus
An environmental sciences campus is a dedicated academic and research setting where students and scholars study, experiment with, and develop solutions for environmental systems, sustainability, and ecological challenges.
- 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_69f76e9894208190a129a553a60ca58c |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:31 p.m.