Triple
T7901872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | direct interaction approximation |
E183470
|
entity |
| Predicate | appliesTo |
P1129
|
FINISHED |
| Object | Navier–Stokes turbulence |
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: Navier–Stokes turbulence | Statement: [direct interaction approximation, appliesTo, Navier–Stokes turbulence]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Navier–Stokes turbulence Context triple: [direct interaction approximation, appliesTo, Navier–Stokes turbulence]
-
A.
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.
-
B.
Turbulent Flows
Turbulent Flows is a comprehensive graduate-level textbook that rigorously presents the theory, modeling, and simulation of turbulent fluid motion in engineering and physics.
-
C.
A First Course in Turbulence
A First Course in Turbulence is a foundational textbook that introduces the theory, physics, and mathematical modeling of turbulent flows for advanced students in fluid mechanics.
-
D.
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.
-
E.
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.
- 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.