Triple
T29575897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahalanobis distance |
E753441
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | multivariate distance |
C18166
|
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 distance Context triple: [Mahalanobis distance, instanceOf, multivariate distance]
-
A.
distance function
chosen
A distance function is a rule that assigns a non-negative real number to quantify how far apart two elements are in a given space, typically satisfying properties like non-negativity, identity, symmetry, and the triangle inequality.
-
B.
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.
-
C.
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.
-
D.
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.
-
E.
city block
A city block is a contiguous group of buildings and lots bounded on all sides by streets within an urban grid.
- 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_69f0ef80bf8c8190ad286e99f7df0c63 |
completed | April 28, 2026, 5:33 p.m. |
Created at: April 28, 2026, 6:03 p.m.