Triple

T27176370
Position Surface form Disambiguated ID Type / Status
Subject Lyapunov central limit theorem E683053 entity
Predicate instanceOf P0 FINISHED
Object central limit theorem variant C22723 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: central limit theorem variant
Context triple: [Lyapunov central limit theorem, instanceOf, central limit theorem variant]
  • A. central limit theorem chosen
    The central limit theorem states that, under broad conditions, the sum (or average) of a large number of independent, identically distributed random variables tends to follow a normal distribution, regardless of the original variables’ distribution.
  • B. 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.
  • C. empirical rule
    The empirical rule is a statistical guideline stating that for a normal distribution, approximately 68% of data fall within one standard deviation of the mean, 95% within two, and 99.7% within three.
  • D. statistical distribution
    A statistical distribution is a conceptual model that describes how the values of a random variable are spread or likely to occur across its possible range.
  • E. lower bound on variance
    A lower bound on variance is a theoretical limit that specifies the smallest possible variance any unbiased estimator of a parameter can achieve under given model assumptions.
  • 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_69eefad086808190ab89816c0c300476 completed April 27, 2026, 5:57 a.m.
Created at: April 27, 2026, 9:26 a.m.