Triple
T7874839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Layer Normalization |
E182824
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | neural network normalization technique |
C23071
|
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: neural network normalization technique Context triple: [Layer Normalization, instanceOf, neural network normalization technique]
-
A.
normalization agreement
A normalization agreement is a formal contract between parties that establishes standardized terms, conditions, and procedures to ensure consistent, uniform handling of specific processes, data, or interactions.
-
B.
natural language processing technique
A natural language processing technique is a computational method or algorithm designed to enable computers to understand, interpret, generate, or manipulate human language in a meaningful way.
-
C.
activation function
An activation function is a mathematical operation applied to a neuron's input in a neural network to introduce non-linearity and determine the neuron's output signal.
-
D.
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.
-
E.
neuroscience technique
A neuroscience technique is a method or tool used to measure, manipulate, or model the structure and function of the nervous system to understand how it underlies behavior and cognition.
- 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_69ca828a17248190b46defe758bc5ad3 |
completed | March 30, 2026, 2:02 p.m. |
Created at: March 30, 2026, 4:56 p.m.