Triple

T17676284
Position Surface form Disambiguated ID Type / Status
Subject BLAS E440649 entity
Predicate hasImplementation P3697 FINISHED
Object OpenBLAS
OpenBLAS is an open-source, highly optimized implementation of basic linear algebra routines designed for high performance on a wide range of CPU architectures.
 E1282483 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: OpenBLAS | Statement: [BLAS, hasImplementation, OpenBLAS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: OpenBLAS
Context triple: [BLAS, hasImplementation, OpenBLAS]
  • A. BLAS
    BLAS (Basic Linear Algebra Subprograms) is a standardized collection of low-level routines for performing common linear algebra operations such as vector and matrix multiplication, widely used as a performance-optimized foundation in scientific computing.
  • B. cuBLAS
    cuBLAS is NVIDIA’s GPU-accelerated implementation of the BLAS linear algebra library, providing high-performance matrix and vector operations for CUDA applications.
  • C. CUDA libraries
    CUDA libraries are a collection of NVIDIA-provided GPU-accelerated software libraries that offer optimized routines for tasks such as linear algebra, deep learning, signal processing, and parallel algorithms on CUDA-enabled hardware.
  • D. cuSOLVER
    cuSOLVER is an NVIDIA GPU-accelerated linear algebra library that provides high-performance routines for solving dense and sparse systems of equations, eigenvalue problems, and related numerical tasks.
  • E. LINPACK
    LINPACK is a widely used benchmark and software library for performing numerical linear algebra computations, particularly solving systems of linear equations.
  • 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: OpenBLAS
Triple: [BLAS, hasImplementation, OpenBLAS]
Generated description
OpenBLAS is an open-source, highly optimized implementation of basic linear algebra routines designed for high performance on a wide range of CPU architectures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: OpenBLAS
Target entity description: OpenBLAS is an open-source, highly optimized implementation of basic linear algebra routines designed for high performance on a wide range of CPU architectures.
  • A. BLAS
    BLAS (Basic Linear Algebra Subprograms) is a standardized collection of low-level routines for performing common linear algebra operations such as vector and matrix multiplication, widely used as a performance-optimized foundation in scientific computing.
  • B. cuBLAS
    cuBLAS is NVIDIA’s GPU-accelerated implementation of the BLAS linear algebra library, providing high-performance matrix and vector operations for CUDA applications.
  • C. CUDA libraries
    CUDA libraries are a collection of NVIDIA-provided GPU-accelerated software libraries that offer optimized routines for tasks such as linear algebra, deep learning, signal processing, and parallel algorithms on CUDA-enabled hardware.
  • D. cuSOLVER
    cuSOLVER is an NVIDIA GPU-accelerated linear algebra library that provides high-performance routines for solving dense and sparse systems of equations, eigenvalue problems, and related numerical tasks.
  • E. LINPACK
    LINPACK is a widely used benchmark and software library for performing numerical linear algebra computations, particularly solving systems of linear equations.
  • 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_69d8b9e940b081908b862bb0e6e89b0d completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46f6d9ab88190ab0e25eac8b0101c completed April 19, 2026, 6 a.m.
NED1 Entity disambiguation (via context triple) batch_6a022325d6108190975082abcdb21ce1 completed May 11, 2026, 6:42 p.m.
NEDg Description generation batch_6a022759531c8190a77c5dc4e3ccaee6 completed May 11, 2026, 7 p.m.
NED2 Entity disambiguation (via description) batch_6a0227ff79d881908ad190b2665bc63d completed May 11, 2026, 7:03 p.m.
Created at: April 10, 2026, 10 a.m.