Triple

T2731232
Position Surface form Disambiguated ID Type / Status
Subject Itô process E60316 entity
Predicate hasDrivingProcess P1410 FINISHED
Object Brownian motion E1601 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: Brownian motion | Statement: [Itô process, hasDrivingProcess, Brownian motion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brownian motion
Context triple: [Itô process, hasDrivingProcess, Brownian motion]
  • A. Brownian motion chosen
    Brownian motion is the random, jittery movement of microscopic particles suspended in a fluid, whose explanation provided key evidence for the existence of atoms and the molecular nature of matter.
  • B. Random Walk and the Theory of Brownian Motion
    "Random Walk and the Theory of Brownian Motion" is a mathematical work by Mark Kac that rigorously develops the connection between discrete random walks and continuous Brownian motion within probability theory.
  • C. Ornstein–Uhlenbeck process
    The Ornstein–Uhlenbeck process is a continuous-time stochastic process that models mean-reverting random motion, widely used in physics and quantitative finance to describe systems fluctuating around a long-term equilibrium.
  • D. Einstein–Smoluchowski relation
    The Einstein–Smoluchowski relation is a fundamental equation in statistical physics that links the diffusion coefficient of particles undergoing Brownian motion to their mobility and thermal energy.
  • E. Fokker–Planck equation
    The Fokker–Planck equation is a partial differential equation that describes the time evolution of the probability density function of a stochastic (random) process, such as Brownian motion.
  • 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: hasDrivingProcess
Context triple: [Itô process, hasDrivingProcess, Brownian motion]
  • A. isDriverless
    Indicates that something operates or moves without a human driver controlling it.
  • B. drivesOn
    Indicates that an entity uses or travels along a particular route, surface, or roadway as its path of movement.
  • C. hasProcess chosen
    Indicates that an entity is associated with, participates in, or is characterized by a particular process.
  • D. hasVehicle
    Indicates that one entity possesses, owns, or is assigned a vehicle.
  • E. drives
    Indicates that one entity operates and controls the movement of a vehicle or similar conveyance transporting themselves or others.
  • F. None of above.

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_69ab4b75cd908190b691ef0d1801acda completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdaee29088190bc4c734e48995794 completed March 7, 2026, 7:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb69c9f648190bbbcfa42ab68c6f2 completed March 10, 2026, 6:13 a.m.
PD Predicate disambiguation batch_69abd82586f88190a98f60d3247fe2d3 completed March 7, 2026, 7:47 a.m.
Created at: March 6, 2026, 9:56 p.m.