Triple
T38534994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vanderbilt Diabetes Research and Training Center |
E923472
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | diabetes research center |
C29034
|
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: diabetes research center Context triple: [Vanderbilt Diabetes Research and Training Center, instanceOf, diabetes research center]
-
A.
medical research centre
chosen
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.
-
B.
genetics research center
A genetics research center is a specialized facility where scientists study genes, heredity, and molecular biology to advance understanding of genetic mechanisms and develop applications in medicine, agriculture, and biotechnology.
-
C.
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.
-
D.
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.
-
E.
Novo Nordisk facility
A Novo Nordisk facility is a specialized pharmaceutical and biotechnology site where the company researches, develops, manufactures, and/or distributes its healthcare products, particularly for diabetes and chronic diseases.
- 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_69f76ea8f6348190a5c03fb6292bbee3 |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:32 p.m.