Triple
T7901899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lagrangian-history direct interaction approximation |
E183471
|
entity |
| Predicate | comparedTo |
P278
|
FINISHED |
| Object | Eulerian direct interaction approximation |
E183470
|
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: Eulerian direct interaction approximation | Statement: [Lagrangian-history direct interaction approximation, comparedTo, Eulerian direct interaction approximation]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eulerian direct interaction approximation Context triple: [Lagrangian-history direct interaction approximation, comparedTo, Eulerian direct interaction approximation]
-
A.
Lagrangian-history direct interaction approximation (LHDIA)
Lagrangian-history direct interaction approximation (LHDIA) is a turbulence theory framework that models fluid particle dynamics by tracking their Lagrangian histories to more accurately capture nonlinear interactions and temporal correlations in turbulent flows.
-
B.
direct interaction approximation (DIA)
chosen
The direct interaction approximation (DIA) is a statistical closure theory in turbulence developed by Robert Kraichnan that models the nonlinear interactions among fluctuating velocity fields to predict turbulent flow properties.
-
C.
Smoluchowski coagulation equation
The Smoluchowski coagulation equation is a fundamental integro-differential equation in statistical physics that models how particles undergoing random collisions aggregate over time into larger clusters.
-
D.
Computer experiments on classical fluids
"Computer experiments on classical fluids" is a pioneering work in computational physics that used numerical simulations to study the behavior and dynamics of classical fluid systems.
-
E.
Boltzmann–BGK equation
The Boltzmann–BGK equation is a simplified kinetic model that replaces the complex collision term of the Boltzmann equation with a single relaxation-time approximation to describe gas particle dynamics.
- 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.