Triple
T15404987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | STAR Campus |
E368428
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | research and innovation campus |
C14572
|
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: research and innovation campus Context triple: [STAR Campus, instanceOf, research and innovation campus]
-
A.
innovation campus
chosen
An innovation campus is a purpose-built environment that co-locates research, education, startups, and industry partners to foster collaboration, experimentation, and the commercialization of new ideas.
-
B.
science and engineering campus
A science and engineering campus is a specialized academic environment that concentrates facilities, laboratories, and resources to support education and research in scientific and engineering disciplines.
-
C.
innovation and knowledge centre
An innovation and knowledge centre is a collaborative hub that integrates research, expertise, and resources to develop, share, and apply new ideas, technologies, and best practices.
-
D.
research park
A research park is a planned development that clusters research institutions, high-tech companies, and support facilities to foster innovation, collaboration, and technology commercialization.
-
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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
Created at: April 10, 2026, 3:20 a.m.