Triple
T8926707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | complete class theorem in decision theory |
E212554
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | result in statistical decision theory |
C8028
|
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: result in statistical decision theory Context triple: [complete class theorem in decision theory, instanceOf, result in statistical decision theory]
-
A.
result in probability theory
chosen
In probability theory, a result is a formally stated and proven fact—such as a theorem, lemma, or corollary—that describes a property or relationship involving probabilistic concepts like random variables, events, or distributions.
-
B.
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.
-
C.
result in econometrics
A result in econometrics is a formally derived conclusion—such as an estimate, test outcome, or theoretical proposition—about economic relationships based on statistical models and data.
-
D.
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.
-
E.
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.
- 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_69ca839481d48190b42b037e0d0f636c |
completed | March 30, 2026, 2:07 p.m. |
Created at: March 30, 2026, 6:57 p.m.