Triple

T25097523
Position Surface form Disambiguated ID Type / Status
Subject double exponential distribution E628629 entity
Predicate hasFiniteMomentsOfAllOrders P168530 FINISHED
Object true 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: true | Statement: [double exponential distribution, hasFiniteMomentsOfAllOrders, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFiniteMomentsOfAllOrders
Context triple: [double exponential distribution, hasFiniteMomentsOfAllOrders, true]
  • A. hasMomentGeneratingFunction
    Indicates that a random variable or probability distribution possesses a well-defined moment generating function characterizing all of its moments.
  • B. isInfinitelyDivisible
    Indicates that something can be divided into smaller parts without any theoretical limit on the number of divisions.
  • C. isSigmaFinite
    Indicates that a measure (or measure space) can be decomposed into a countable union of measurable sets, each having finite measure.
  • D. hasFiniteSupport
    Indicates that a function, relation, or structure is nonzero or nontrivial at only finitely many elements of its domain.
  • 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_69e2ff3071548190b62d1ac237397197 completed April 18, 2026, 3:49 a.m.
NER Named-entity recognition batch_69f67595fa7c8190b6e9f7a8c700dd97 completed May 2, 2026, 10:07 p.m.
PD Predicate disambiguation batch_69f673c2f81c8190bf369226306eef09 completed May 2, 2026, 9:59 p.m.
PDg Predicate description generation batch_69f674df80b08190adb7f7531083bbb1 completed May 2, 2026, 10:04 p.m.
Created at: April 18, 2026, 6:25 a.m.