Triple
T14440543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Intel oneAPI Toolkits |
E358072
|
entity |
| Predicate | supportsLanguage |
P2177
|
FINISHED |
| Object |
Data Parallel C++
Data Parallel C++ (DPC++) is Intel’s C++-based, SYCL-inspired programming language designed for heterogeneous, cross-architecture parallel programming across CPUs, GPUs, and other accelerators.
|
E1099071
|
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: Data Parallel C++ | Statement: [Intel oneAPI Toolkits, supportsLanguage, Data Parallel C++]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Data Parallel C++ Context triple: [Intel oneAPI Toolkits, supportsLanguage, Data Parallel C++]
-
A.
Intel Threading Building Blocks
Intel Threading Building Blocks is a C++ template library developed by Intel that provides high-level, task-based parallelism and scalable performance for multicore and manycore processors.
-
B.
Heterogeneous-computing Interface for Portability
Heterogeneous-computing Interface for Portability (HIP) is a C++ runtime API and kernel language developed by AMD to enable portable GPU programming across AMD and NVIDIA hardware.
-
C.
NCCL
NCCL (NVIDIA Collective Communications Library) is a high-performance library that optimizes multi-GPU and multi-node communication for deep learning and HPC applications.
-
D.
OpenACC
OpenACC is a directive-based parallel programming standard designed to simplify the development of portable, high-performance code on heterogeneous systems such as GPUs and multicore CPUs.
-
E.
OpenMP
OpenMP is an application programming interface that supports multi-platform shared-memory parallel programming in C, C++, and Fortran.
- 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: Data Parallel C++ Triple: [Intel oneAPI Toolkits, supportsLanguage, Data Parallel C++]
Generated description
Data Parallel C++ (DPC++) is Intel’s C++-based, SYCL-inspired programming language designed for heterogeneous, cross-architecture parallel programming across CPUs, GPUs, and other accelerators.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Data Parallel C++ Target entity description: Data Parallel C++ (DPC++) is Intel’s C++-based, SYCL-inspired programming language designed for heterogeneous, cross-architecture parallel programming across CPUs, GPUs, and other accelerators.
-
A.
Intel Threading Building Blocks
Intel Threading Building Blocks is a C++ template library developed by Intel that provides high-level, task-based parallelism and scalable performance for multicore and manycore processors.
-
B.
Heterogeneous-computing Interface for Portability
Heterogeneous-computing Interface for Portability (HIP) is a C++ runtime API and kernel language developed by AMD to enable portable GPU programming across AMD and NVIDIA hardware.
-
C.
NCCL
NCCL (NVIDIA Collective Communications Library) is a high-performance library that optimizes multi-GPU and multi-node communication for deep learning and HPC applications.
-
D.
OpenACC
OpenACC is a directive-based parallel programming standard designed to simplify the development of portable, high-performance code on heterogeneous systems such as GPUs and multicore CPUs.
-
E.
OpenMP
OpenMP is an application programming interface that supports multi-platform shared-memory parallel programming in C, C++, and Fortran.
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de914c1398819090fa2a74d257ba3e |
completed | April 14, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bda6ee88190aeec77092eb3576a |
completed | May 8, 2026, 3:43 a.m. |
| NEDg | Description generation | batch_69fd5d8c0e4881908dac3fb5a5ac79bc |
completed | May 8, 2026, 3:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd5e46c184819092ebb2b5aad28125 |
completed | May 8, 2026, 3:53 a.m. |
Created at: April 10, 2026, 1:18 a.m.