Triple

T19319667
Position Surface form Disambiguated ID Type / Status
Subject An Introduction to the Mathematical Theory of Finite Elements E483186 entity
Predicate topic P261 FINISHED
Object Galerkin method NE NERFINISHED

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: Galerkin method | Statement: [An Introduction to the Mathematical Theory of Finite Elements, topic, Galerkin method]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Galerkin method
Context triple: [An Introduction to the Mathematical Theory of Finite Elements, topic, Galerkin method]
  • A. Galerkin method chosen
    The Galerkin method is a numerical technique for converting continuous differential equations into discrete algebraic systems by projecting them onto a finite-dimensional subspace, widely used in finite element analysis.
  • B. finite element method
    The finite element method is a numerical technique for solving complex engineering and physical problems by approximating solutions over discretized domains, widely used in structural analysis, heat transfer, fluid dynamics, and related fields.
  • C. Godunov's method
    Godunov's method is a numerical scheme for solving hyperbolic partial differential equations that uses exact or approximate Riemann solvers to compute fluxes at cell interfaces in finite-volume discretizations.
  • D. Arnoldi method
    The Arnoldi method is an iterative numerical algorithm used to approximate a few eigenvalues and eigenvectors of large, sparse matrices by constructing an orthonormal basis of a Krylov subspace.
  • E. Gauss–Seidel method
    The Gauss–Seidel method is an iterative numerical technique used to solve systems of linear equations, particularly in large, sparse problems arising in scientific and engineering computations.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d13e3c81909d91d1d5ec37c095 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e60d87a0088190a60201b1f388089e completed April 20, 2026, 11:27 a.m.
Created at: April 10, 2026, 1:32 p.m.