Triple

T21950545
Position Surface form Disambiguated ID Type / Status
Subject Charney–Phillips vertical coordinate E542054 entity
Predicate relatedConcept P37 FINISHED
Object Arakawa grid staggering 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: Arakawa grid staggering | Statement: [Charney–Phillips vertical coordinate, relatedConcept, Arakawa grid staggering]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arakawa grid staggering
Context triple: [Charney–Phillips vertical coordinate, relatedConcept, Arakawa grid staggering]
  • A. Lax–Wendroff method
    The Lax–Wendroff method is a numerical scheme for solving hyperbolic partial differential equations that achieves second-order accuracy in both space and time by using a Taylor series expansion and flux approximations.
  • B. Godunov-type schemes
    Godunov-type schemes are a class of finite-volume numerical methods for solving hyperbolic conservation laws that use Riemann solvers to accurately capture shock waves and discontinuities.
  • C. Charney–Phillips vertical coordinate
    The Charney–Phillips vertical coordinate is a numerical weather prediction grid arrangement that improves the representation of atmospheric stratification and gravity waves by staggering thermodynamic and velocity variables in the vertical.
  • D. Lax–Friedrichs scheme
    The Lax–Friedrichs scheme is a numerical method for approximating solutions to hyperbolic partial differential equations, known for its simplicity and strong stability properties.
  • E. Kraichnan model of passive scalar advection
    The Kraichnan model of passive scalar advection is a theoretical framework in turbulence that studies how a passively transported quantity (like temperature or pollutant concentration) evolves in a fluid flow modeled by a Gaussian, white-in-time random velocity field.
  • 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: Arakawa grid staggering
Target entity description: Arakawa grid staggering is a family of numerical grid arrangements used in atmospheric and oceanic models to improve the representation of dynamical variables and reduce numerical errors in fluid flow simulations.
  • A. Lax–Wendroff method
    The Lax–Wendroff method is a numerical scheme for solving hyperbolic partial differential equations that achieves second-order accuracy in both space and time by using a Taylor series expansion and flux approximations.
  • B. Godunov-type schemes
    Godunov-type schemes are a class of finite-volume numerical methods for solving hyperbolic conservation laws that use Riemann solvers to accurately capture shock waves and discontinuities.
  • C. Charney–Phillips vertical coordinate chosen
    The Charney–Phillips vertical coordinate is a numerical weather prediction grid arrangement that improves the representation of atmospheric stratification and gravity waves by staggering thermodynamic and velocity variables in the vertical.
  • D. Lax–Friedrichs scheme
    The Lax–Friedrichs scheme is a numerical method for approximating solutions to hyperbolic partial differential equations, known for its simplicity and strong stability properties.
  • E. Kraichnan model of passive scalar advection
    The Kraichnan model of passive scalar advection is a theoretical framework in turbulence that studies how a passively transported quantity (like temperature or pollutant concentration) evolves in a fluid flow modeled by a Gaussian, white-in-time random velocity field.
  • 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_69e0c47ef0e48190a50e1bcc43f4b3fd completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1243bb9c88190a3774b9fa2af9871 completed April 28, 2026, 9:18 p.m.
Created at: April 16, 2026, 7:58 p.m.