Triple
T15961346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kruskal–Wallis test |
E387065
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | rank-based statistical test |
C25287
|
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: rank-based statistical test Context triple: [Kruskal–Wallis test, instanceOf, rank-based statistical test]
-
A.
nonparametric test
chosen
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.
-
B.
statistical hypothesis test
A statistical hypothesis test is a formal procedure that uses sample data to evaluate the plausibility of a specified assumption (the null hypothesis) about a population parameter, typically by calculating a test statistic and comparing it to a reference distribution to decide whether to reject the null.
-
C.
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.
-
D.
statistical distance
Statistical distance is a numerical measure of how different two probability distributions are, often used to quantify distinguishability or divergence between random variables or datasets.
-
E.
test of independence
A test of independence is a statistical procedure used to determine whether two categorical variables are associated or occur independently of each other in a population.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
Created at: April 10, 2026, 4:53 a.m.