Triple

T7901878
Position Surface form Disambiguated ID Type / Status
Subject direct interaction approximation E183470 entity
Predicate inspired P9 FINISHED
Object Lagrangian-history direct interaction approximation E183471 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: Lagrangian-history direct interaction approximation | Statement: [direct interaction approximation, inspired, Lagrangian-history direct interaction approximation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lagrangian-history direct interaction approximation
Context triple: [direct interaction approximation, inspired, Lagrangian-history direct interaction approximation]
  • A. Lagrangian-history direct interaction approximation (LHDIA) chosen
    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. Lagrangian-history closure approximation
    The Lagrangian-history closure approximation is a turbulence modeling technique that uses the past trajectories of fluid particles to statistically approximate nonlinear interactions in turbulent flows.
  • C. direct interaction approximation (DIA)
    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.
  • D. Bogoliubov–Born–Green–Kirkwood–Yvon hierarchy
    The Bogoliubov–Born–Green–Kirkwood–Yvon hierarchy is a set of coupled equations in statistical mechanics that describes the time evolution of reduced distribution functions for many-particle systems.
  • E. Landau interaction function
    The Landau interaction function is a central quantity in Fermi liquid theory that characterizes the effective quasiparticle–quasiparticle interactions near the Fermi surface.
  • 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.