Triple
T36467722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tracy–Widom distribution |
E898464
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | limiting 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: limiting distribution Context triple: [Tracy–Widom distribution, instanceOf, limiting distribution]
-
A.
generalized limit
A generalized limit is an extension of the classical notion of limit that assigns “limit-like” values to sequences or functions (often including divergent ones) by relaxing or modifying the usual convergence requirements.
-
B.
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.
-
C.
grain distribution law
A grain distribution law is a conceptual rule or model that describes how grain sizes or quantities are statistically spread within a material, system, or population.
-
D.
tempered distribution
A tempered distribution is a continuous linear functional on the Schwartz space of rapidly decreasing smooth test functions, generalizing functions and allowing the Fourier transform to be extended to a broad class of generalized functions.
-
E.
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.
- 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_69f76e58ebd88190b75d9b169b59d793 |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:10 p.m.