Triple
T35335417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lévy measure |
E1020436
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | measure in probability theory |
C30699
|
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: measure in probability theory Context triple: [Lévy measure, instanceOf, measure in probability theory]
-
A.
measure-theoretic construction
A measure-theoretic construction is a rigorous method of building mathematical objects—such as measures, integrals, or probability spaces—by specifying σ-algebras, set functions, and limiting processes that satisfy the axioms of measure theory.
-
B.
measure
chosen
A measure is a function that assigns a non-negative extended real number to subsets of a given set in a way that generalizes notions of length, area, and volume while satisfying countable additivity.
-
C.
result in probability theory
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.
canonical measure
A canonical measure is a mathematically natural, uniquely determined measure associated with a given structure or space, chosen according to its intrinsic symmetries or defining properties.
-
E.
probability treatise
A probability treatise is a comprehensive, formal work that systematically develops the theory, principles, and applications of probability.
- 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_69f76debb4e08190be52d89b8af2392d |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4:03 p.m.