Triple
T7189109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saffman–Taylor instability |
E167641
|
entity |
| Predicate | governingEquations |
P12675
|
FINISHED |
| Object |
Darcy’s law
Darcy’s law is a fundamental equation in fluid mechanics that relates the volumetric flow rate of a fluid through a porous medium to the pressure gradient, permeability, and fluid viscosity.
|
E647520
|
NE FINISHED |
How this triple was built (5 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: Darcy’s law | Statement: [Saffman–Taylor instability, governingEquations, Darcy’s law]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Darcy’s law Context triple: [Saffman–Taylor instability, governingEquations, Darcy’s law]
-
A.
Stokes' law
Stokes' law is a fundamental equation in fluid dynamics that describes the drag force experienced by small spherical particles moving slowly through a viscous fluid.
-
B.
Meyer-Peter–Müller bed-load formula
The Meyer-Peter–Müller bed-load formula is a classic empirical equation in fluvial hydraulics used to estimate the transport rate of coarse sediment along a riverbed under given flow conditions.
-
C.
Charney equation
The Charney equation is a fundamental quasi-geostrophic equation in atmospheric dynamics that describes large-scale Rossby waves and mid-latitude weather patterns on a rotating planet.
-
D.
Einstein bed-load function
The Einstein bed-load function is a seminal hydraulic engineering formula developed by Hans Albert Einstein to predict the transport rate of sediment particles rolling and sliding along a riverbed under flowing water.
-
E.
Fick's first law of diffusion
Fick's first law of diffusion is a fundamental physical law that relates the diffusive flux of particles to the spatial gradient of their concentration, describing how substances move from regions of high to low concentration.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Darcy’s law Triple: [Saffman–Taylor instability, governingEquations, Darcy’s law]
Generated description
Darcy’s law is a fundamental equation in fluid mechanics that relates the volumetric flow rate of a fluid through a porous medium to the pressure gradient, permeability, and fluid viscosity.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Darcy’s law Target entity description: Darcy’s law is a fundamental equation in fluid mechanics that relates the volumetric flow rate of a fluid through a porous medium to the pressure gradient, permeability, and fluid viscosity.
-
A.
Stokes' law
Stokes' law is a fundamental equation in fluid dynamics that describes the drag force experienced by small spherical particles moving slowly through a viscous fluid.
-
B.
Meyer-Peter–Müller bed-load formula
The Meyer-Peter–Müller bed-load formula is a classic empirical equation in fluvial hydraulics used to estimate the transport rate of coarse sediment along a riverbed under given flow conditions.
-
C.
Charney equation
The Charney equation is a fundamental quasi-geostrophic equation in atmospheric dynamics that describes large-scale Rossby waves and mid-latitude weather patterns on a rotating planet.
-
D.
Einstein bed-load function
The Einstein bed-load function is a seminal hydraulic engineering formula developed by Hans Albert Einstein to predict the transport rate of sediment particles rolling and sliding along a riverbed under flowing water.
-
E.
Fick's first law of diffusion
Fick's first law of diffusion is a fundamental physical law that relates the diffusive flux of particles to the spatial gradient of their concentration, describing how substances move from regions of high to low concentration.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governingEquations Context triple: [Saffman–Taylor instability, governingEquations, Darcy’s law]
-
A.
equationOfMotionFor
Indicates that one entity specifies the mathematical equation governing the motion or dynamics of another entity.
-
B.
mathematicallyFormulatedBy
Indicates that something (such as a concept, model, or theory) is expressed or defined using mathematical formulations created by a particular agent.
-
C.
mathematicallyExpressedBy
chosen
Indicates that something (such as a concept, quantity, or relationship) is represented or captured using a specific mathematical expression or formulation.
-
D.
mathematicallyFormulatedIn
Indicates that something is expressed, defined, or represented using mathematical formulas, equations, or formal mathematical structures within a given context.
-
E.
numberOfEquations
Indicates the total count of equations associated with or involved in a given entity or context.
- F. None of above.
Provenance (6 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_69c6888b5248819090499a884ee3ec39 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e8e3d9188190ba2792098d76fb86 |
completed | March 27, 2026, 8:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7b956ce048190b377dd62f5b5b173 |
completed | March 28, 2026, 11:19 a.m. |
| NEDg | Description generation | batch_69c7ba1752648190a417bdbbbf04a243 |
completed | March 28, 2026, 11:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7bada296c819094b92c0479ab8a3a |
completed | March 28, 2026, 11:26 a.m. |
| PD | Predicate disambiguation | batch_69c6e752385c819096fbab55566ee2a8 |
completed | March 27, 2026, 8:23 p.m. |
Created at: March 27, 2026, 2:50 p.m.