Triple
T23171802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biomedical District of Mirandola |
E578879
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | biomedical industrial cluster |
C15368
|
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: biomedical industrial cluster Context triple: [Biomedical District of Mirandola, instanceOf, biomedical industrial cluster]
-
A.
life sciences cluster
chosen
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.
academic health sciences cluster
An academic health sciences cluster is a collaborative organizational structure that brings together universities, teaching hospitals, research institutes, and related partners to integrate education, research, and clinical care in the health sciences.
-
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.
medical research centre
A medical research centre is an institution dedicated to conducting scientific studies and clinical investigations to advance knowledge, diagnosis, treatment, and prevention of diseases and health conditions.
-
E.
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.
- 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_69e245fd2a388190b814c0dfa15f7148 |
completed | April 17, 2026, 2:38 p.m. |
Created at: April 17, 2026, 4:03 p.m.