Triple
T17520644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Support Vector Machine |
E426671
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | binary classifier |
C15492
|
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: binary classifier Context triple: [Support Vector Machine, instanceOf, binary classifier]
-
A.
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.
-
B.
Support Vector Machine classifier
chosen
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.
-
C.
statistical classification
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.
-
D.
canonical classification
Canonical classification is a standardized method of organizing entities into universally recognized categories based on their essential, defining characteristics.
-
E.
social classification
Social classification is the systematic process of categorizing individuals or groups within a society based on attributes such as socioeconomic status, ethnicity, gender, occupation, or education, which shapes their access to resources, power, and opportunities.
- 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.