Triple

T18203479
Position Surface form Disambiguated ID Type / Status
Subject David Bohm E435847 entity
Predicate knownFor P22 FINISHED
Object Bohm diffusion NE NERFINISHED

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: Bohm diffusion | Statement: [David Bohm, knownFor, Bohm diffusion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bohm diffusion
Context triple: [David Bohm, knownFor, Bohm diffusion]
  • A. Boltzmann–BGK equation
    The Boltzmann–BGK equation is a simplified kinetic model that replaces the complex collision term of the Boltzmann equation with a single relaxation-time approximation to describe gas particle dynamics.
  • B. Kapitza–Dirac effect
    The Kapitza–Dirac effect is a quantum phenomenon in which a beam of particles, such as electrons or atoms, is diffracted by a standing wave of light, demonstrating the wave-particle duality of matter.
  • C. Landau–Pomeranchuk–Migdal effect
    The Landau–Pomeranchuk–Migdal effect is a quantum electrodynamics phenomenon in which high-energy electrons and photons in dense media experience suppressed bremsstrahlung and pair production due to multiple scattering.
  • D. 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.
  • E. Boltzmann equation
    The Boltzmann equation is a fundamental kinetic theory equation that describes the statistical behavior and time evolution of a dilute gas or particle distribution in phase space due to streaming and collisions.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bohm diffusion
Target entity description: Bohm diffusion is an anomalous plasma transport process characterized by a diffusion rate much higher than classical predictions, often scaling inversely with magnetic field strength.
  • A. Boltzmann–BGK equation
    The Boltzmann–BGK equation is a simplified kinetic model that replaces the complex collision term of the Boltzmann equation with a single relaxation-time approximation to describe gas particle dynamics.
  • B. Kapitza–Dirac effect
    The Kapitza–Dirac effect is a quantum phenomenon in which a beam of particles, such as electrons or atoms, is diffracted by a standing wave of light, demonstrating the wave-particle duality of matter.
  • C. Landau–Pomeranchuk–Migdal effect
    The Landau–Pomeranchuk–Migdal effect is a quantum electrodynamics phenomenon in which high-energy electrons and photons in dense media experience suppressed bremsstrahlung and pair production due to multiple scattering.
  • D. 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.
  • E. Boltzmann equation
    The Boltzmann equation is a fundamental kinetic theory equation that describes the statistical behavior and time evolution of a dilute gas or particle distribution in phase space due to streaming and collisions.
  • F. None of above. chosen

Provenance (2 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_69d8b90dba6481908e119eb9aa4ca0cb completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e221bbbc819088a7559a46b7d4e7 completed April 19, 2026, 2:09 p.m.
Created at: April 10, 2026, 10:32 a.m.