Triple
T11002292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamiltonian Monte Carlo |
E260030
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Bayesian computation method |
C25327
|
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: Bayesian computation method Context triple: [Hamiltonian Monte Carlo, instanceOf, Bayesian computation method]
-
A.
statistical inference method
chosen
A statistical inference method is a systematic procedure for drawing conclusions about a population’s properties based on observed sample data, often quantifying uncertainty through probabilities or confidence measures.
-
B.
concept in Bayesian statistics
A concept in Bayesian statistics is an abstract idea or construct—such as prior, likelihood, posterior, or credible interval—that helps formalize how beliefs about unknown quantities are updated with observed data using probability.
-
C.
statistical methodology
Statistical methodology is the collection of principles, techniques, and procedures used to design studies, collect data, and analyze and interpret quantitative information to draw valid and reliable conclusions.
-
D.
statistical procedure
A statistical procedure is a systematic method or set of steps used to collect, analyze, interpret, and draw conclusions from data based on principles of probability and statistics.
-
E.
mathematical method
A mathematical method is a systematic procedure or algorithm used to solve problems, prove results, or analyze structures within mathematics.
- 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
Created at: April 8, 2026, 9:25 p.m.