Triple
T22922818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keihanna Science City area |
E568910
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | high-tech research hub |
C38503
|
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: high-tech research hub Context triple: [Keihanna Science City area, instanceOf, high-tech research hub]
-
A.
research and education hub
A research and education hub is a centralized environment where scholars, students, and professionals collaborate to generate new knowledge, share resources, and engage in learning and innovation.
-
B.
research and innovation cluster
chosen
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.
-
C.
information and communications technology hub
An information and communications technology hub is a centralized environment—physical, virtual, or hybrid—where ICT infrastructure, services, expertise, and innovation converge to support connectivity, digital operations, and technological development for organizations and communities.
-
D.
research and development organization
A research and development organization is an entity dedicated to systematically investigating ideas and technologies to create new knowledge, products, or processes and improve existing ones.
-
E.
science and technology university
A science and technology university is a higher education institution focused on advancing knowledge and innovation in scientific, engineering, and technological fields through specialized teaching and research.
- 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_69e2458d90c88190a58cead4e781ca6a |
completed | April 17, 2026, 2:37 p.m. |
Created at: April 17, 2026, 3:43 p.m.