Triple
T10858560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Citylabs |
E256333
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | life sciences innovation hub |
C27725
|
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: life sciences innovation hub Context triple: [Citylabs, instanceOf, life sciences innovation hub]
-
A.
life sciences cluster
A life sciences cluster is a geographically concentrated network of research institutions, companies, and support organizations focused on biotechnology, pharmaceuticals, medical devices, and related health and biological sciences, fostering innovation, collaboration, and economic growth.
-
B.
bioscience research center
A bioscience research center is a specialized facility where scientists conduct experimental and computational studies on living systems to advance knowledge and develop applications in health, agriculture, and biotechnology.
-
C.
innovation and knowledge centre
chosen
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.
stem cell research institute
A stem cell research institute is a specialized scientific organization dedicated to studying stem cells and their applications in regenerative medicine, disease modeling, and therapeutic development.
-
E.
innovation campus
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.
- 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_69d6aa83d1448190a66d93c32394d21f |
completed | April 8, 2026, 7:20 p.m. |
Created at: April 8, 2026, 9:20 p.m.