Triple
T14720947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Probably Approximately Correct learning |
E345811
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | learning theory model |
C324
|
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 theory model Context triple: [Probably Approximately Correct learning, instanceOf, learning theory model]
-
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.
learning rule
A learning rule is a formal method or algorithm that specifies how a system updates its internal parameters or representations based on experience or data to improve performance over time.
-
C.
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.
-
D.
theoretical model
chosen
A theoretical model is an abstract, simplified representation of a system or phenomenon used to explain, predict, or understand its behavior based on underlying principles and assumptions.
-
E.
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.
- 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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
Created at: April 10, 2026, 1:29 a.m.