Triple
T31703479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | q-Gaussian distribution |
E809119
|
entity |
| Predicate | hasFiniteVarianceCondition |
P197562
|
FINISHED |
| Object | q < 5/3 |
—
|
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: q < 5/3 | Statement: [q-Gaussian distribution, hasFiniteVarianceCondition, q < 5/3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFiniteVarianceCondition Context triple: [q-Gaussian distribution, hasFiniteVarianceCondition, q < 5/3]
-
A.
hasVariance
Indicates that there is a measurable degree of variability or dispersion in the values or outcomes associated with the related entities.
-
B.
hasFiniteMomentsOfAllOrders
Indicates that a random variable or distribution has finite expected values for all positive integer powers (moments) of it.
-
C.
hasVarianceSymbol
Indicates that one entity is associated with, or represented by, a specific variance symbol in a mathematical or statistical context.
-
D.
hasFiniteSupport
Indicates that a function, relation, or structure is nonzero or nontrivial at only finitely many elements of its domain.
-
E.
hasVarianceOfIncrementOnInterval
Indicates that a quantity’s variance is measured specifically for its increments over a given interval.
- 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_69f348de914081909fc8edff56f34dbe |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fe9b0276d48190b554fa22b043e6d8 |
completed | May 9, 2026, 2:25 a.m. |
| PD | Predicate disambiguation | batch_69fe999692b081909921e1148d66f0ef |
completed | May 9, 2026, 2:19 a.m. |
| PDg | Predicate description generation | batch_69fe9b013ec481908f89beddb9c4cd4e |
completed | May 9, 2026, 2:25 a.m. |
Created at: April 30, 2026, 11:13 p.m.