Triple
T1807267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bayesian inference |
E40249
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | probabilistic reasoning approach |
C6849
|
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 reasoning approach Context triple: [Bayesian inference, instanceOf, probabilistic reasoning approach]
-
A.
probabilist
A probabilist is a mathematician or scientist who studies probability theory, focusing on the analysis and modeling of random phenomena and uncertainty.
-
B.
theory of rational choice under risk
A theory of rational choice under risk explains how individuals should make decisions among uncertain outcomes by systematically comparing the expected utilities of available options, given their probabilities and the decision-maker’s preferences.
-
C.
decision theory
chosen
Decision theory is the study of how agents should and do make rational choices under conditions of uncertainty, balancing preferences, probabilities, and outcomes.
-
D.
knowledge representation framework
A knowledge representation framework is a structured system of formalisms, models, and conventions used to encode, organize, and manipulate information so that it can be interpreted and reasoned about by humans and machines.
-
E.
stochastic process
A stochastic process is a collection of random variables indexed by time or space that describes the evolution of a system subject to inherent randomness.
- 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_69a88643a3388190a612f2ebe1fb29e7 |
completed | March 4, 2026, 7:21 p.m. |
Created at: March 4, 2026, 7:32 p.m.