Triple
T3015559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cambridge Neuroscience |
E82327
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | neuroscience 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: neuroscience research network Context triple: [Cambridge Neuroscience, instanceOf, neuroscience research network]
-
A.
neuroscience research program
A neuroscience research program is an organized, long-term scientific initiative that systematically investigates the structure, function, and development of the nervous system to advance understanding of brain and behavior.
-
B.
neuroscience department
A neuroscience department is an academic or research unit dedicated to studying the structure, function, development, and disorders of the nervous system through interdisciplinary scientific approaches.
-
C.
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.
-
D.
neuroscience technique
A neuroscience technique is a method or tool used to measure, manipulate, or model the structure and function of the nervous system to understand how it underlies behavior and cognition.
-
E.
neuromorphic computing initiative
A neuromorphic computing initiative is a coordinated effort to research, develop, and deploy hardware and software systems that emulate the structure and function of biological neural networks to achieve more efficient, brain-like computation.
- 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_69ad8b1eb53481908c39bbcd1ec104b2 |
completed | March 8, 2026, 2:43 p.m. |
Created at: March 8, 2026, 3 p.m.