Triple
T17520565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | StandardScaler |
E426669
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | 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: normalization technique Context triple: [StandardScaler, instanceOf, normalization technique]
-
A.
neural network normalization technique
chosen
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.
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.
-
C.
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.
-
D.
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.
-
E.
technique in analysis
A technique in analysis is a systematic method or procedure used to examine, simplify, or solve mathematical problems involving limits, continuity, differentiation, integration, or related structures.
- 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.