Triple
T22423095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erdős–Kac theorem |
E554297
|
entity |
| Predicate | asymptoticDistribution |
P148123
|
FINISHED |
| Object | normal distribution |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: normal distribution | Statement: [Erdős–Kac theorem, asymptoticDistribution, normal distribution]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: asymptoticDistribution Context triple: [Erdős–Kac theorem, asymptoticDistribution, normal distribution]
-
A.
hasAsymptotics
Indicates that one entity describes or determines the asymptotic behavior or growth rate of another entity, typically in a limiting or large-scale sense.
-
B.
hasAsymptoticExpansion
Indicates that one mathematical object serves as the asymptotic expansion approximating another object in a specified limit or regime.
-
C.
derivativeDistribution
Indicates a relationship where one entity is a financial derivative whose value or payoff is contractually based on, or distributed according to, the performance or characteristics of another underlying entity.
-
D.
distributionAssumption
Indicates an assumed or specified statistical distribution that underlies a model, variable, or process in the relationship.
-
E.
isHeavyTailed
Indicates that a distribution has a high probability of extreme values, with tails that decay more slowly than those of an exponential or normal distribution.
- F. None of above. chosen
Provenance (4 batches)
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_69e11e4f2d0c819091aa3558ea2ee630 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15a2af620819083338127e78137dc |
completed | April 29, 2026, 1:08 a.m. |
| PD | Predicate disambiguation | batch_69e8989495bc81909d2699fce5992e28 |
completed | April 22, 2026, 9:44 a.m. |
| PDg | Predicate description generation | batch_69e8aa39e3388190b659d59948ebf3e6 |
completed | April 22, 2026, 11 a.m. |
Created at: April 16, 2026, 8:47 p.m.