Triple
T37323282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maurice Wilkins Centre for Molecular Biodiscovery |
E926536
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | collaborative research network |
C497
|
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: collaborative research network Context triple: [Maurice Wilkins Centre for Molecular Biodiscovery, instanceOf, collaborative research network]
-
A.
research network
chosen
A research network is a structured system of interconnected researchers, institutions, and resources that collaboratively generate, share, and advance knowledge within and across disciplines.
-
B.
regional collaborative network
A regional collaborative network is a structured alliance of organizations, institutions, and stakeholders within a specific geographic area that coordinate resources, knowledge, and activities to address shared goals and regional challenges.
-
C.
collaborative networks
Collaborative networks are interconnected groups of individuals or organizations that share resources, knowledge, and responsibilities to achieve common goals more effectively than they could independently.
-
D.
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.
-
E.
research consortium
A research consortium is a collaborative alliance of multiple organizations or institutions that pool resources, expertise, and infrastructure to conduct joint research toward shared scientific or technological goals.
- 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_69f76eb386d88190a8d511aa11540dfc |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:16 p.m.