Triple
T6293645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | weak law of large numbers |
E141078
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | law of large numbers variant |
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: law of large numbers variant Context triple: [weak law of large numbers, instanceOf, law of large numbers variant]
-
A.
quantitative central limit theorem
The quantitative central limit theorem provides explicit bounds on how quickly the distribution of normalized sums of random variables converges to the normal distribution, typically in terms of metrics like the Kolmogorov or Wasserstein distance.
-
B.
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.
-
C.
probabilist
A probabilist is a mathematician or scientist who studies probability theory, focusing on the analysis and modeling of random phenomena and uncertainty.
-
D.
moment inequality
A moment inequality is a constraint that specifies that an expected value (moment) of a random variable or function of data must lie above or below a certain bound, rather than being exactly equal to it.
-
E.
probability rule
A probability rule is a fundamental principle that defines how probabilities are assigned, combined, and manipulated within a probabilistic system to ensure consistency and coherence.
- 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_69c008cdf2ac8190bb640c94478fb4ed |
completed | March 22, 2026, 3:20 p.m. |
Created at: March 22, 2026, 4:27 p.m.