Triple
T3806570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frontier |
E93020
|
entity |
| Predicate | benchmark |
P17142
|
FINISHED |
| Object |
LINPACK
LINPACK is a widely used benchmark and software library for performing numerical linear algebra computations, particularly solving systems of linear equations.
|
E389991
|
NE FINISHED |
How this triple was built (4 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: LINPACK | Statement: [Frontier, benchmark, LINPACK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LINPACK Context triple: [Frontier, benchmark, LINPACK]
-
A.
LinearAlgebra
LinearAlgebra is Julia’s standard library module providing core functionality for vectors, matrices, and advanced linear algebra operations.
-
B.
Numerical Recipes
Numerical Recipes is a widely used series of books that provides practical algorithms and explanations for numerical methods in scientific computing.
-
C.
NAG Fortran Compiler
NAG Fortran Compiler is a commercial, standards-focused Fortran compiler from the Numerical Algorithms Group, widely used for its rigorous support of modern Fortran features and robust error checking.
-
D.
Fortran
Fortran is a high-level programming language, particularly strong in numerical and scientific computing, widely used for engineering, physics, and high-performance applications.
-
E.
Successive Over-Relaxation
Successive Over-Relaxation is an iterative numerical method that accelerates the convergence of the Gauss–Seidel algorithm for solving large systems of linear equations by introducing a relaxation factor.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: LINPACK Triple: [Frontier, benchmark, LINPACK]
Generated description
LINPACK is a widely used benchmark and software library for performing numerical linear algebra computations, particularly solving systems of linear equations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LINPACK Target entity description: LINPACK is a widely used benchmark and software library for performing numerical linear algebra computations, particularly solving systems of linear equations.
-
A.
LinearAlgebra
LinearAlgebra is Julia’s standard library module providing core functionality for vectors, matrices, and advanced linear algebra operations.
-
B.
Numerical Recipes
Numerical Recipes is a widely used series of books that provides practical algorithms and explanations for numerical methods in scientific computing.
-
C.
NAG Fortran Compiler
NAG Fortran Compiler is a commercial, standards-focused Fortran compiler from the Numerical Algorithms Group, widely used for its rigorous support of modern Fortran features and robust error checking.
-
D.
Fortran
Fortran is a high-level programming language, particularly strong in numerical and scientific computing, widely used for engineering, physics, and high-performance applications.
-
E.
Successive Over-Relaxation
Successive Over-Relaxation is an iterative numerical method that accelerates the convergence of the Gauss–Seidel algorithm for solving large systems of linear equations by introducing a relaxation factor.
- F. None of above. chosen
Provenance (5 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_69aed96a60088190ab1df8390fffc935 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aee809c5c481909d5412cdd33b458d |
completed | March 9, 2026, 3:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4fb2d7be48190a041e59b706751a4 |
completed | March 14, 2026, 6:07 a.m. |
| NEDg | Description generation | batch_69b4fc463bf48190b604d478f2c3e477 |
completed | March 14, 2026, 6:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4fcb59c148190b2b574c787473896 |
completed | March 14, 2026, 6:14 a.m. |
Created at: March 9, 2026, 3:16 p.m.