Triple
T11294394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | detailed balance principle |
E267413
|
entity |
| Predicate | field |
P3
|
FINISHED |
| Object | Markov processes |
E48274
|
NE FINISHED |
Disambiguation candidates (1 decision)
The exact options the model was shown at each disambiguation step, with the option it chose highlighted — the evidence behind this triple's disambiguated ids.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Markov processes Context triple: [detailed balance principle, field, Markov processes]
-
A.
Markov processes
chosen
Markov processes are stochastic processes in which the future evolution depends only on the present state and not on the past history.
-
B.
Stochastic Processes
"Stochastic Processes" is a foundational textbook by Emanuel Parzen that rigorously introduces the theory and applications of random processes in probability and statistics.
-
C.
Markov
Markov is a Russian surname most famously associated with mathematician Andrey Markov, known for his pioneering work on stochastic processes and Markov chains.
-
D.
Markov semigroup
A Markov semigroup is a family of linear operators describing the time evolution of probability distributions in a Markov process, forming a semigroup under composition and preserving positivity and total mass.
-
E.
Itô processes
Itô processes are a class of stochastic processes, typically modeled as solutions to stochastic differential equations, that form the fundamental objects of study in Itô calculus and modern stochastic analysis.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
| Stage | Batch ID | Job type | Status |
|---|---|---|---|
| creating | batch_69d6aac993a08190a6f36445ebaf9a43 |
elicitation | completed |
| NER | batch_69d7e98b149481909f432a6b9ef8bfbb |
ner | completed |
| NED1 | batch_69e50a32ac308190828e1138522527fb |
ned_source_triple | completed |
Created at: April 8, 2026, 9:32 p.m.