Triple
T4382270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Department of Landscape Architecture (Cornell University) |
E99157
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | landscape architecture department |
C15849
|
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: landscape architecture department Context triple: [Department of Landscape Architecture (Cornell University), instanceOf, landscape architecture department]
-
A.
landscape designer
A landscape designer is a professional who plans and creates functional, aesthetic outdoor spaces by selecting and arranging plants, structures, and landforms to meet environmental, practical, and visual goals.
-
B.
landscape garden
A landscape garden is a designed outdoor space that artfully arranges landforms, plants, water, and built features to create a harmonious, scenic, and often naturalistic environment for aesthetic enjoyment and recreation.
-
C.
garden design project
A garden design project is a planned endeavor that organizes and coordinates the creation or transformation of an outdoor space to achieve specific aesthetic, functional, and environmental goals.
-
D.
garden layout
A garden layout is the planned spatial arrangement of plants, paths, structures, and features within a garden to achieve desired aesthetic, functional, and environmental goals.
-
E.
urban design firm
An urban design firm is a professional organization that plans, designs, and coordinates the development of urban spaces, integrating architecture, landscape, transportation, and community needs to create functional and livable environments.
- F. None of above. chosen
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_69b3454ea8f48190a49c2436624d6ef6 |
completed | March 12, 2026, 10:59 p.m. |
Created at: March 12, 2026, 11:18 p.m.