Triple
T36487847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bayesian logistic regression |
E898980
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | classification method |
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: classification method Context triple: [Bayesian logistic regression, instanceOf, classification method]
-
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.
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.
-
C.
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.
-
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_69f76e5ad4588190bdbce60c52fbb785 |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:10 p.m.