Triple
T35689928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bayesian nonparametrics |
E1031259
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | subfield of nonparametric statistics |
C60842
|
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: subfield of nonparametric statistics Context triple: [Bayesian nonparametrics, instanceOf, subfield of nonparametric statistics]
-
A.
seminal work in nonparametric statistics
A seminal work in nonparametric statistics is a foundational contribution that introduces or rigorously develops distribution-free methods for inference, estimation, or testing, significantly shaping subsequent theory and applications in the field.
-
B.
nonparametric test
A nonparametric test is a statistical hypothesis test that does not assume a specific distribution for the population and instead relies on the ranks or signs of the data.
-
C.
branch of statistics
chosen
A branch of statistics is a specialized area within the broader field of statistics that focuses on particular types of data, methods, or applications, such as inferential statistics, descriptive statistics, or Bayesian statistics.
-
D.
inequality in statistics
Inequality in statistics refers to the unequal distribution of a variable (such as income, wealth, or resources) across individuals or groups, often quantified using measures like the Gini coefficient or Lorenz curve.
-
E.
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.
- 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_69f76e0c73ec819080ab60a9e2f5f1f6 |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:05 p.m.