Triple

T19319152
Position Surface form Disambiguated ID Type / Status
Subject Ludwig Prandtl E483173 entity
Predicate notableFor P22 FINISHED
Object Prandtl–Taylor vortices 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: Prandtl–Taylor vortices | Statement: [Ludwig Prandtl, notableFor, Prandtl–Taylor vortices]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prandtl–Taylor vortices
Context triple: [Ludwig Prandtl, notableFor, Prandtl–Taylor vortices]
  • A. Taylor–Proudman theorem
    The Taylor–Proudman theorem is a fundamental result in geophysical fluid dynamics stating that in a rapidly rotating, inviscid, incompressible fluid, steady flows tend to be uniform along the axis of rotation, leading to columnar motion.
  • B. Taylor–Couette flow
    Taylor–Couette flow is the fluid motion that arises between two concentric, independently rotating cylinders, notable for its rich pattern of instabilities and vortical structures that are fundamental in fluid dynamics research.
  • C. The Structure of Turbulent Shear Flow
    The Structure of Turbulent Shear Flow is a foundational scholarly work in fluid mechanics that analyzes the behavior, organization, and modeling of turbulence in shear flows.
  • D. Rayleigh–Bénard convection
    Rayleigh–Bénard convection is a fluid dynamics phenomenon in which a horizontal fluid layer heated from below develops organized convection cells due to buoyancy-driven instability.
  • E. Taylor microscale in turbulence
    The Taylor microscale in turbulence is a characteristic length scale that quantifies the size of eddies where viscous dissipation begins to significantly affect turbulent motion, bridging the gap between large energy-containing eddies and the smallest dissipative scales.
  • 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: Prandtl–Taylor vortices
Target entity description: Prandtl–Taylor vortices are coherent, columnar fluid structures that form in rotating flows, illustrating key principles of geophysical and rotating fluid dynamics.
  • A. Taylor–Proudman theorem
    The Taylor–Proudman theorem is a fundamental result in geophysical fluid dynamics stating that in a rapidly rotating, inviscid, incompressible fluid, steady flows tend to be uniform along the axis of rotation, leading to columnar motion.
  • B. Taylor–Couette flow chosen
    Taylor–Couette flow is the fluid motion that arises between two concentric, independently rotating cylinders, notable for its rich pattern of instabilities and vortical structures that are fundamental in fluid dynamics research.
  • C. The Structure of Turbulent Shear Flow
    The Structure of Turbulent Shear Flow is a foundational scholarly work in fluid mechanics that analyzes the behavior, organization, and modeling of turbulence in shear flows.
  • D. Rayleigh–Bénard convection
    Rayleigh–Bénard convection is a fluid dynamics phenomenon in which a horizontal fluid layer heated from below develops organized convection cells due to buoyancy-driven instability.
  • E. Taylor microscale in turbulence
    The Taylor microscale in turbulence is a characteristic length scale that quantifies the size of eddies where viscous dissipation begins to significantly affect turbulent motion, bridging the gap between large energy-containing eddies and the smallest dissipative scales.
  • F. None of above.

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_69d8e8d13e3c81909d91d1d5ec37c095 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e60d868dd48190b1439a5f4ff58c48 completed April 20, 2026, 11:27 a.m.
Created at: April 10, 2026, 1:32 p.m.