Triple
T17521719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bioconductor |
E426691
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | BiocParallel package |
—
|
NE NERFINISHED |
How this triple was built (3 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: BiocParallel package | Statement: [Bioconductor, hasComponent, BiocParallel package]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BiocParallel package Context triple: [Bioconductor, hasComponent, BiocParallel package]
-
A.
Bioconductor
Bioconductor is an open-source project that provides R packages and tools for the analysis and comprehension of high-throughput genomic and biological data.
-
B.
Parallel Computing Toolbox
Parallel Computing Toolbox is a MATLAB add-on that enables users to perform parallel and distributed computing to accelerate large-scale numerical and data-intensive computations.
-
C.
OpenMP
OpenMP is an application programming interface that supports multi-platform shared-memory parallel programming in C, C++, and Fortran.
-
D.
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.
-
E.
Dask
Dask is an open-source parallel computing library for Python that enables scalable, distributed data processing and analytics using familiar interfaces like NumPy, pandas, and scikit-learn.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BiocParallel package Target entity description: The BiocParallel package is a Bioconductor R toolkit that provides a unified interface for parallel computing to speed up large-scale bioinformatics and genomic analyses.
-
A.
Bioconductor
chosen
Bioconductor is an open-source project that provides R packages and tools for the analysis and comprehension of high-throughput genomic and biological data.
-
B.
Parallel Computing Toolbox
Parallel Computing Toolbox is a MATLAB add-on that enables users to perform parallel and distributed computing to accelerate large-scale numerical and data-intensive computations.
-
C.
OpenMP
OpenMP is an application programming interface that supports multi-platform shared-memory parallel programming in C, C++, and Fortran.
-
D.
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.
-
E.
Dask
Dask is an open-source parallel computing library for Python that enables scalable, distributed data processing and analytics using familiar interfaces like NumPy, pandas, and scikit-learn.
- F. None of above.
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_69d889de677081909b22d2657b1f0292 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e452d2f79881909556894728e255ab |
completed | April 19, 2026, 3:58 a.m. |
Created at: April 10, 2026, 5:49 a.m.