Triple
T25402150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buffon’s needle problem |
E636452
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Monte Carlo method example |
C15301
|
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: Monte Carlo method example Context triple: [Buffon’s needle problem, instanceOf, Monte Carlo method example]
-
A.
simulation technique
chosen
A simulation technique is a systematic method for modeling and imitating the behavior of real or hypothetical systems over time to analyze their performance, predict outcomes, or support decision-making.
-
B.
Monte Carlo reinforcement learning algorithm
A Monte Carlo reinforcement learning algorithm is a method that learns optimal policies by estimating value functions from complete, sampled episodes of experience without requiring a model of the environment’s dynamics.
-
C.
numerical integration method for ordinary differential equations
A numerical integration method for ordinary differential equations is an algorithmic procedure that approximates the solution of an ODE over discrete steps by iteratively updating the dependent variable using information about its derivative.
-
D.
computer simulation study
A computer simulation study is a research approach that uses computational models to imitate real-world systems or processes under controlled conditions to analyze behavior, test hypotheses, or predict outcomes.
-
E.
circle method
The circle method is an analytic number theory technique that uses integration over the unit circle in the complex plane to estimate the number of representations of integers by various arithmetic functions.
- 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_69e75db361d881908d8701c856da6413 |
completed | April 21, 2026, 11:21 a.m. |
Created at: April 21, 2026, 1:52 p.m.