Triple
T19689448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | distance covariance |
E472795
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | multivariate dependence measure |
C42348
|
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: multivariate dependence measure Context triple: [distance covariance, instanceOf, multivariate dependence measure]
-
A.
entropy measure
An entropy measure is a quantitative metric that captures the amount of uncertainty, randomness, or information content in a system, distribution, or process.
-
B.
correlation function
A correlation function is a mathematical tool that quantifies how strongly and in what way two variables or values of a field at different points in space or time are related to each other.
-
C.
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.
-
D.
empirical relationship
An empirical relationship is a correlation or functional connection between variables that is derived from observed data rather than from theoretical principles.
-
E.
Euclidean correlation function
A Euclidean correlation function is a Green’s function defined in Euclidean (imaginary-time) spacetime that encodes the correlations between field operators at different points and is related to physical, real-time correlation functions by analytic continuation.
- F. None of above. chosen
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_69d8e515bef88190bc30781aea50537a |
completed | April 10, 2026, 11:55 a.m. |
Created at: April 10, 2026, 1:45 p.m.