Triple
T26445068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University College London Hospitals biomedical research network |
E665192
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | biomedical research network |
C51578
|
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 research network Context triple: [University College London Hospitals biomedical research network, instanceOf, biomedical research network]
-
A.
biomedical informatics research center
A biomedical informatics research center is an interdisciplinary organization that develops and applies computational, statistical, and information science methods to manage, analyze, and translate biomedical and clinical data into actionable knowledge for research and healthcare.
-
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.
medical research collaboration
A medical research collaboration is a coordinated partnership among researchers, clinicians, institutions, and sometimes industry or patient groups to jointly design, conduct, and analyze studies that advance medical knowledge and improve health outcomes.
-
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.
translational research center
A translational research center is an institution that integrates basic scientific discoveries with clinical and community applications to accelerate the development, testing, and implementation of new diagnostics, therapies, and health interventions.
- F. None of above. chosen
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_69ee883c851881909e2ab04efbb3c5fe |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 27, 2026, 12:01 a.m.