Triple
T8926672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Foundations of a General Theory of Sequential Decision Functions |
E212553
|
entity |
| Predicate | topic |
P261
|
FINISHED |
| Object |
Bayesian decision theory
Bayesian decision theory is a formal framework for making optimal decisions under uncertainty by combining probability models of unknowns with loss functions to choose actions that minimize expected loss.
|
E725899
|
NE FINISHED |
Provenance (5 batches)
| Stage | Batch ID | Job type | Status |
|---|---|---|---|
| creating | batch_69ca839481d48190b42b037e0d0f636c |
elicitation | completed |
| NER | batch_69cc6671557c81909f3837ffd6a15ffe |
ner | completed |
| NED1 | batch_69cfba58e9ec81909141c516d05ac790 |
ned_source_triple | completed |
| NED2 | batch_69cfbec2b8888190a0390168fdcef05f |
ned_description | completed |
| NEDg | batch_69cfbade9330819096d4b0eeacdad6da |
nedg | completed |
Created at: March 30, 2026, 6:57 p.m.