Triple
T18914539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Discovery Park (Purdue University) |
E462691
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | interdisciplinary research park |
C908
|
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: interdisciplinary research park Context triple: [Discovery Park (Purdue University), instanceOf, interdisciplinary research park]
-
A.
research park
chosen
A research park is a planned development that clusters research institutions, high-tech companies, and support facilities to foster innovation, collaboration, and technology commercialization.
-
B.
interdisciplinary hub
An interdisciplinary hub is a collaborative space—physical or virtual—where experts from diverse fields converge to share knowledge, integrate methods, and co-create innovative solutions to complex problems.
-
C.
research and innovation cluster
A research and innovation cluster is a geographically or virtually concentrated network of organizations, institutions, and individuals that collaborate to generate new knowledge, technologies, and solutions, driving competitive advantage and regional development.
-
D.
industrial park
An industrial park is a planned and zoned area of land designated for industrial development, typically providing shared infrastructure, utilities, and transportation access for manufacturing, warehousing, and related businesses.
-
E.
multi-campus research organization
A multi-campus research organization is an institution that coordinates and conducts collaborative research across multiple geographically distinct campuses, sharing resources, expertise, and infrastructure under a unified governance structure.
- 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_69d8dcfdbbb881909964fa5a75bd0b48 |
completed | April 10, 2026, 11:20 a.m. |
Created at: April 10, 2026, 11:58 a.m.