Triple
T32026660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | just-in-time teaching |
E817835
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | active learning method |
C27203
|
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: active learning method Context triple: [just-in-time teaching, instanceOf, active learning method]
-
A.
active learning strategy
chosen
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.
-
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.
learning process
The learning process is a dynamic sequence of cognitive, emotional, and behavioral activities through which an individual acquires, organizes, and applies new knowledge or skills over time.
-
D.
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.
-
E.
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.
- 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_69f348fb04e4819081f4eab040ed7959 |
completed | April 30, 2026, 12:20 p.m. |
Created at: May 1, 2026, 12:17 a.m.