Triple
T36487849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bayesian logistic regression |
E898980
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | generalized linear model |
C26339
|
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: generalized linear model Context triple: [Bayesian logistic regression, instanceOf, generalized linear model]
-
A.
statistical model
chosen
A statistical model is a mathematical representation of observed data and underlying random processes, used to describe relationships, make inferences, and generate predictions.
-
B.
predictive model
A predictive model is a computational or mathematical representation that uses patterns in existing data to estimate or forecast unknown or future outcomes.
-
C.
modeling framework
A modeling framework is a structured set of concepts, methods, and tools used to construct, analyze, and interpret representations of real-world systems or phenomena.
-
D.
likelihood function
A likelihood function is a mathematical function that measures how probable a set of observed data is for different values of a model’s parameters, treating the data as fixed and the parameters as variable.
-
E.
penal model
A penal model is a statistical or mathematical framework that incorporates penalty terms into its objective function to discourage complexity, overfitting, or undesirable parameter values.
- 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.