Triple
T23142608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naive Bayes classifier |
E577500
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | probabilistic classifier |
C20846
|
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: probabilistic classifier Context triple: [Naive Bayes classifier, instanceOf, probabilistic classifier]
-
A.
statistical classification
chosen
Statistical classification is the process of assigning items or observations to predefined categories or classes based on their measured features using probabilistic or algorithmic decision rules.
-
B.
probabilist
A probabilist is a mathematician or scientist who studies probability theory, focusing on the analysis and modeling of random phenomena and uncertainty.
-
C.
Support Vector Machine classifier
A Support Vector Machine classifier is a supervised learning model that finds the optimal separating hyperplane (or decision boundary) in a high-dimensional feature space to maximize the margin between different classes for robust classification.
-
D.
statistical classification system
A statistical classification system is a structured framework that organizes data, entities, or phenomena into predefined categories based on quantitative criteria and statistical methods to enable consistent analysis and comparison.
-
E.
classification board
A classification board is an authoritative body or panel that evaluates and assigns categories, ratings, or classifications to items such as media, products, or information based on defined criteria and standards.
- 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_69e245f8e6248190ba3d58e068b4dccb |
completed | April 17, 2026, 2:38 p.m. |
Created at: April 17, 2026, 4 p.m.