Triple
T14910961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tukey's lambda distribution |
E371258
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | parametric statistical model |
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: parametric statistical model Context triple: [Tukey's lambda distribution, instanceOf, parametric statistical model]
-
A.
statistical model
A statistical model is a mathematical representation of observed data and underlying random processes, used to describe relationships, make inferences, and generate predictions.
-
B.
statistical framework
A statistical framework is a structured set of principles, assumptions, and methods that guides how data are collected, modeled, analyzed, and interpreted to draw valid inferences about underlying phenomena.
-
C.
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.
-
D.
statistical inference method
A statistical inference method is a systematic procedure for drawing conclusions about a population’s properties based on observed sample data, often quantifying uncertainty through probabilities or confidence measures.
-
E.
statistical procedure
A statistical procedure is a systematic method or set of steps used to collect, analyze, interpret, and draw conclusions from data based on principles of probability and statistics.
- 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_69d85cc7ea3481908228b5acb7d06f12 |
completed | April 10, 2026, 2:13 a.m. |
Created at: April 10, 2026, 2:26 a.m.