Triple
T37546870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cramér–Wold theorem |
E933486
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | result in multivariate statistics |
C8028
|
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: result in multivariate statistics Context triple: [Cramér–Wold theorem, instanceOf, result in multivariate statistics]
-
A.
multivariate dependence measure
A multivariate dependence measure is a quantitative function that assesses the strength and structure of statistical relationships among multiple random variables simultaneously, beyond simple pairwise associations.
-
B.
result in econometrics
A result in econometrics is a formally derived conclusion—such as an estimate, test outcome, or theoretical proposition—about economic relationships based on statistical models and data.
-
C.
result in probability theory
chosen
In probability theory, a result is a formally stated and proven fact—such as a theorem, lemma, or corollary—that describes a property or relationship involving probabilistic concepts like random variables, events, or distributions.
-
D.
result in linear algebra
In linear algebra, a result is a proven statement or conclusion—such as a theorem, lemma, or corollary—that follows logically from definitions and previously established facts about vectors, matrices, and linear transformations.
-
E.
applied statistics
Applied statistics is the practical use of statistical methods and models to collect, analyze, and interpret real-world data for informed decision-making and problem-solving across various fields.
- 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_69f76eca55bc8190acf25741793d5dac |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:17 p.m.