Triple
T30165715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bayes rules |
E766785
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | statistical decision theory concept |
C23158
|
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: statistical decision theory concept Context triple: [Bayes rules, instanceOf, statistical decision theory concept]
-
A.
decision theory
Decision theory is the study of how agents should and do make rational choices under conditions of uncertainty, balancing preferences, probabilities, and outcomes.
-
B.
concept in Bayesian statistics
chosen
A concept in Bayesian statistics is an abstract idea or construct—such as prior, likelihood, posterior, or credible interval—that helps formalize how beliefs about unknown quantities are updated with observed data using probability.
-
C.
statistical system
A statistical system is a collection of components or variables whose aggregate behavior and properties are described and predicted using probabilistic and statistical methods rather than exact deterministic rules.
-
D.
statistical framework
A statistical framework is a structured set of principles, assumptions, and methods that guides how data are collected, modeled, analyzed, and interpreted to draw valid inferences about underlying phenomena.
-
E.
statistical model
A statistical model is a mathematical representation of observed data and underlying random processes, used to describe relationships, make inferences, and generate predictions.
- 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_69f2247a968881909d79c18f2bfcb275 |
completed | April 29, 2026, 3:32 p.m. |
Created at: April 29, 2026, 7:23 p.m.