Triple
T11958493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Open Accelerators |
E284610
|
entity |
| Predicate | competesWith |
P1375
|
FINISHED |
| Object | OpenMP |
E59596
|
NE FINISHED |
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: OpenMP | Statement: [Open Accelerators, competesWith, OpenMP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OpenMP Context triple: [Open Accelerators, competesWith, OpenMP]
-
A.
OpenMP
chosen
OpenMP is an application programming interface that supports multi-platform shared-memory parallel programming in C, C++, and Fortran.
-
B.
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.
-
C.
OMPS
OMPS (Ozone Mapping and Profiler Suite) is a satellite-based instrument system designed to measure global ozone distribution and monitor atmospheric ozone layer changes from orbit.
-
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.
OpenCL
OpenCL is an open, cross-platform framework for writing programs that execute across heterogeneous systems including CPUs, GPUs, and other processors.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903681a00819098c2b5260e2ef834 |
completed | April 10, 2026, 2:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f48a83c2448190bb40c199afef2ec2 |
completed | May 1, 2026, 11:12 a.m. |
Created at: April 8, 2026, 9:45 p.m.