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.