Triple

T4667907
Position Surface form Disambiguated ID Type / Status
Subject Heaviside step function E102892 entity
Predicate derivativeInDistributionSense P58732 FINISHED
Object Dirac delta distribution E199880 NE FINISHED

How this triple was built (3 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: Dirac delta distribution | Statement: [Heaviside step function, derivativeInDistributionSense, Dirac delta distribution]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dirac delta distribution
Context triple: [Heaviside step function, derivativeInDistributionSense, Dirac delta distribution]
  • A. Dirac delta function chosen
    The Dirac delta function is a mathematical construct used in physics and engineering to model an idealized point mass or point charge, being zero everywhere except at a single point where it is infinitely large yet integrates to one.
  • B. Kronecker delta
    The Kronecker delta is a function of two variables that equals 1 when the variables are equal and 0 otherwise, widely used in linear algebra, tensor calculus, and discrete mathematics to represent identity relations.
  • C. Cauchy distribution
    The Cauchy distribution is a continuous probability distribution with heavy tails and undefined mean and variance, often used as a classic example of pathological behavior in probability theory and statistics.
  • D. Heaviside step function
    The Heaviside step function is a discontinuous mathematical function that jumps from 0 to 1 at a specified point and is widely used to model switching behavior and sudden changes in systems, especially in engineering and signal processing.
  • E. Generalized Functions (multi-volume series)
    Generalized Functions (multi-volume series) is a foundational multi-volume work in functional analysis and distribution theory that systematically develops the theory of generalized functions and its applications to differential equations and mathematical physics.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: derivativeInDistributionSense
Context triple: [Heaviside step function, derivativeInDistributionSense, Dirac delta distribution]
  • A. hasDerivative
    Indicates that one entity is derived, obtained, or produced from another through some transformation, process, or modification.
  • B. differential
    Indicates a relationship where one quantity or state is defined as the infinitesimal change or difference relative to another variable or function.
  • C. hasDistributionFunction
    Indicates that an entity is associated with a specific distribution function that characterizes how its values or occurrences are probabilistically or statistically distributed.
  • D. derivativeDesignation
    Indicates that one entity is formally identified as a derivative or adapted version of another entity.
  • E. hasDerivatives
    Indicates that one entity is derived, obtained, or developed from another entity.
  • F. None of above. chosen

Provenance (5 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_69bd43d9cba4819086c1ab1c2d9d2133 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd655aceb081908100ffc0498fe183 completed March 20, 2026, 3:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69be104a596c8190903c208c892da186 completed March 21, 2026, 3:28 a.m.
PD Predicate disambiguation batch_69bd6215864c8190b50ba0f63ba87d0c completed March 20, 2026, 3:04 p.m.
PDg Predicate description generation batch_69bd655719dc8190beb6942f343a0ae7 completed March 20, 2026, 3:18 p.m.
Created at: March 20, 2026, 1:15 p.m.