Triple

T4552442
Position Surface form Disambiguated ID Type / Status
Subject Hardy–Littlewood maximal function E120395 entity
Predicate typicalMeasure P57967 FINISHED
Object Lebesgue measure E284674 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: Lebesgue measure | Statement: [Hardy–Littlewood maximal function, typicalMeasure, Lebesgue measure]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lebesgue measure
Context triple: [Hardy–Littlewood maximal function, typicalMeasure, Lebesgue measure]
  • A. Lebesgue measure chosen
    Lebesgue measure is the standard way of assigning a consistent notion of "length," "area," or "volume" to subsets of Euclidean space, forming the foundation of modern measure theory and integration.
  • B. Lebesgue integration
    Lebesgue integration is a foundational measure-theoretic framework for defining and analyzing integrals, particularly suited to handling limits, convergence, and more general functions than those allowed by Riemann integration.
  • C. measure theory
    Measure theory is a branch of mathematical analysis that rigorously formalizes the concepts of length, area, volume, and integration for very general sets and functions.
  • D. Lebesgue spaces
    Lebesgue spaces are function spaces, denoted \(L^p\), that consist of measurable functions whose absolute values raised to the \(p\)-th power are integrable, forming a fundamental framework in modern analysis and probability theory.
  • E. Wiener measure
    Wiener measure is the canonical probability measure on the space of continuous paths that models standard Brownian motion in probability theory and stochastic analysis.
  • 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: typicalMeasure
Context triple: [Hardy–Littlewood maximal function, typicalMeasure, Lebesgue measure]
  • A. measureType
    Indicates the specific kind or category of measurement that characterizes how a quantity or value is assessed.
  • B. typeOfMeasure
    Indicates that one entity specifies the kind or category of measurement used to quantify or evaluate another entity.
  • C. measuredBy
    Indicates that something’s quantity, extent, or value is determined or expressed using a particular measurement method, instrument, or unit.
  • D. measuredAs
    Indicates that one entity’s quantity, value, or property is expressed or recorded using another entity as its measurement or unit.
  • E. measured
    Indicates that one entity has determined or quantified a property, amount, or extent of another entity using some standard or instrument.
  • 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_69bd4636f1648190a701445c2fcd9c17 completed March 20, 2026, 1:05 p.m.
NER Named-entity recognition batch_69bd581160e08190b715a8ce5c3e6c9b completed March 20, 2026, 2:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdb95b01b0819094a600752e41aa09 completed March 20, 2026, 9:17 p.m.
PD Predicate disambiguation batch_69bd5223423c81908317351b58cff5f5 completed March 20, 2026, 1:56 p.m.
PDg Predicate description generation batch_69bd56b4a9508190acdb888eef18f1ee completed March 20, 2026, 2:16 p.m.
Created at: March 20, 2026, 1:09 p.m.