Triple
T7901770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lagrangian-history closure approximation |
E183468
|
entity |
| Predicate | relatesTo |
P37
|
FINISHED |
| Object | Reynolds-averaged Navier–Stokes equations |
E594627
|
NE FINISHED |
How this triple was built (2 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: Reynolds-averaged Navier–Stokes equations | Statement: [Lagrangian-history closure approximation, relatesTo, Reynolds-averaged Navier–Stokes equations]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reynolds-averaged Navier–Stokes equations Context triple: [Lagrangian-history closure approximation, relatesTo, Reynolds-averaged Navier–Stokes equations]
-
A.
Reynolds-averaged Navier–Stokes turbulence modeling
chosen
Reynolds-averaged Navier–Stokes turbulence modeling is a widely used computational fluid dynamics approach that predicts turbulent flows by averaging the Navier–Stokes equations and modeling the effects of turbulence through closure models.
-
B.
Navier–Stokes equations
The Navier–Stokes equations are fundamental partial differential equations in fluid mechanics that describe how the velocity field of a fluid evolves under forces like pressure and viscosity.
-
C.
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.
-
D.
Reiner–Rivlin fluid model
The Reiner–Rivlin fluid model is a constitutive model in continuum mechanics that describes the nonlinear stress–strain behavior of certain non-Newtonian, viscoelastic fluids.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca828d13088190b222be7aa9f9315c |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a40a0508190864479c2c41b12cb |
completed | March 31, 2026, 3:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5bbd93348190883c6152f18f8214 |
completed | March 31, 2026, 5:29 a.m. |
Created at: March 30, 2026, 5:02 p.m.