Triple
T36703976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biophysics of Computation: Information Processing in Single Neurons |
E906305
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | computational neuroscience book |
C58124
|
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: computational neuroscience book Context triple: [Biophysics of Computation: Information Processing in Single Neurons, instanceOf, computational neuroscience book]
-
A.
neuroscience book
chosen
A neuroscience book is a comprehensive written work that explains the structure and function of the nervous system, integrating biological mechanisms with cognitive and behavioral phenomena.
-
B.
theory in neuroscience
A theory in neuroscience is a coherent, testable framework that explains how neural structures and processes give rise to behavior, cognition, and perception.
-
C.
machine learning book
A machine learning book is a structured, written resource that explains the theories, algorithms, and practical applications of machine learning to help readers understand and apply data-driven modeling techniques.
-
D.
cognitive neuroscience model
A cognitive neuroscience model is a theoretical or computational framework that explains how brain structures and neural processes give rise to cognitive functions such as perception, memory, decision-making, and language.
-
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_69f76e7195c48190b5580c9cfb01e95f |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:12 p.m.