Triple
T32861552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Athinoula A. Martinos Center for Biomedical Imaging |
E840531
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | biomedical imaging research center |
C58679
|
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 imaging research center Context triple: [Athinoula A. Martinos Center for Biomedical Imaging, instanceOf, biomedical imaging research center]
-
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.
neuroimaging research center
chosen
A neuroimaging research center is a specialized facility that uses advanced brain imaging technologies to study the structure, function, and disorders of the nervous system.
-
C.
biomedical research network
A biomedical research network is a collaborative system of researchers, institutions, data, and technologies that share resources and expertise to advance understanding, diagnosis, and treatment of health and disease.
-
D.
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.
-
E.
biomedical engineering department
A biomedical engineering department is an academic and research unit that integrates engineering principles with biological and medical sciences to develop technologies and solutions for healthcare diagnosis, treatment, and patient care.
- 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_69f34942465c819099b3fb47f9044f58 |
completed | April 30, 2026, 12:21 p.m. |
Created at: May 1, 2026, 1:17 a.m.