Triple

T11002837
Position Surface form Disambiguated ID Type / Status
Subject Hebbian learning E260043 entity
Predicate instanceOf P0 FINISHED
Object learning rule C28996 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: learning rule
Context triple: [Hebbian learning, instanceOf, learning rule]
  • A. learning theory
    Learning theory is the conceptual framework that explains how knowledge and skills are acquired, processed, retained, and applied through experience, instruction, and practice.
  • B. adaptive learning rate method
    An adaptive learning rate method is an optimization technique that automatically adjusts the step size for each parameter during training based on past gradient information to improve convergence speed and stability.
  • C. active learning strategy
    An active learning strategy is a structured approach to teaching and studying that engages learners directly in meaningful tasks—such as problem-solving, discussion, and reflection—to deepen understanding and improve long-term retention.
  • D. model-based reinforcement learning algorithm
    A model-based reinforcement learning algorithm is a decision-making method that learns or uses an explicit model of the environment’s dynamics to plan and select actions that maximize long-term rewards.
  • E. training unit
    A training unit is a structured, self-contained segment of instruction designed to teach specific knowledge, skills, or competencies within a broader training program.
  • F. None of above. chosen

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_69d6aa8a6a548190a750f944ccdc8064 completed April 8, 2026, 7:20 p.m.
Created at: April 8, 2026, 9:25 p.m.