Triple

T25971377
Position Surface form Disambiguated ID Type / Status
Subject analog VLSI for neural systems E645816 entity
Predicate instanceOf P0 FINISHED
Object neuromorphic engineering approach C28997 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: neuromorphic engineering approach
Context triple: [analog VLSI for neural systems, instanceOf, neuromorphic engineering approach]
  • A. 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.
  • B. neural network design method chosen
    A neural network design method is a systematic approach for selecting, structuring, and configuring neural network architectures and training procedures to solve specific computational or learning tasks.
  • C. system-on-chip
    A system-on-chip is an integrated circuit that combines a complete electronic system’s core components—such as processor, memory, input/output interfaces, and specialized accelerators—onto a single chip.
  • D. symbolic cognitive architecture
    A symbolic cognitive architecture is a computational framework that models human-like cognition using explicit, manipulable symbols and rule-based processes to represent and transform knowledge.
  • E. bioinspired engineer
    A bioinspired engineer is a professional who studies and emulates principles, structures, and processes found in living organisms to design innovative, efficient, and sustainable technologies and systems.
  • 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_69e77e8768648190b27bb578f14bcb88 completed April 21, 2026, 1:41 p.m.
Created at: April 22, 2026, 8:51 a.m.