Triple
T17520564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | StandardScaler |
E426669
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | feature scaling method |
C15495
|
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: feature scaling method Context triple: [StandardScaler, instanceOf, feature scaling method]
-
A.
neural network normalization technique
A neural network normalization technique is a method that rescales and shifts activations or inputs within a model to stabilize training, improve convergence, and enhance generalization.
-
B.
scikit-learn transformer
chosen
A scikit-learn transformer is an object that implements fit and transform methods to learn from training data and apply deterministic data transformations within machine learning pipelines.
-
C.
standardization scheme
A standardization scheme is a structured framework of rules, formats, and procedures designed to ensure consistency, compatibility, and interoperability across systems, processes, or data.
-
D.
unsupervised learning method
An unsupervised learning method is a type of machine learning approach that discovers patterns, structures, or groupings in unlabeled data without predefined output targets.
-
E.
mathematical method
A mathematical method is a systematic procedure or algorithm used to solve problems, prove results, or analyze structures within mathematics.
- 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_69d889de677081909b22d2657b1f0292 |
completed | April 10, 2026, 5:25 a.m. |
Created at: April 10, 2026, 5:49 a.m.