Triple
T8359622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hotelling’s T-squared distribution |
E196772
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | sampling distribution |
C1604
|
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: sampling distribution Context triple: [Hotelling’s T-squared distribution, instanceOf, sampling distribution]
-
A.
statistical distribution
chosen
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.
-
B.
central limit theorem
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.
-
C.
inequality in statistics
Inequality in statistics refers to the unequal distribution of a variable (such as income, wealth, or resources) across individuals or groups, often quantified using measures like the Gini coefficient or Lorenz curve.
-
D.
statistical commission
A statistical commission is a formal body, often within a government or international organization, responsible for overseeing the collection, analysis, standardization, and dissemination of statistical data to support informed decision-making and policy development.
-
E.
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.
- 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_69ca82f08b348190bfb7881944bbff6f |
completed | March 30, 2026, 2:04 p.m. |
Created at: March 30, 2026, 6 p.m.