Triple
T27491633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reiner–Rivlin fluid model |
E693899
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | viscoelastic fluid model |
C8896
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: viscoelastic fluid model Context triple: [Reiner–Rivlin fluid model, instanceOf, viscoelastic fluid model]
-
A.
continuum material
chosen
A continuum material is an idealized substance modeled as continuously distributed matter, ignoring its discrete molecular structure to describe its mechanical and physical behavior at macroscopic scales.
-
B.
dielectric relaxation model
A dielectric relaxation model describes how a material’s polarization responds over time to changes in an applied electric field, typically capturing frequency-dependent permittivity and energy dissipation behaviors.
-
C.
Lagrangian turbulence model
A Lagrangian turbulence model is a computational approach that simulates turbulent flows by tracking the trajectories and interactions of individual fluid particles or parcels over time.
-
D.
turbulence model
A turbulence model is a mathematical framework used in fluid dynamics to approximate the effects of turbulent flow on momentum, energy, and other transported quantities without resolving all turbulent scales directly.
-
E.
theory of continuum thermodynamics
The theory of continuum thermodynamics is a framework that models the thermal, mechanical, and related physical behaviors of materials by treating matter as a continuous medium and applying the laws of thermodynamics and continuum mechanics.
- F. None of above.
Provenance (1 batch)
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_69ef5382b9648190be0b1ef2ad5d043c |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 27, 2026, 1:05 p.m.