Triple
T7388362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adreno |
E170438
|
entity |
| Predicate | supports |
P516
|
FINISHED |
| Object | OpenCL |
E163108
|
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: OpenCL | Statement: [Adreno, supports, OpenCL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OpenCL Context triple: [Adreno, supports, OpenCL]
-
A.
OpenCL
chosen
OpenCL is an open, cross-platform framework for writing programs that execute across heterogeneous systems including CPUs, GPUs, and other processors.
-
B.
OpenCL C 2.0
OpenCL C 2.0 is a version of the OpenCL C programming language that adds advanced features such as generic address space, pipes, and improved atomics for more expressive and efficient heterogeneous parallel programming.
-
C.
OpenCL 1.2
OpenCL 1.2 is a version of the Open Computing Language standard that refines and extends earlier releases to improve heterogeneous parallel programming across CPUs, GPUs, and other accelerators.
-
D.
OpenCL C 1.2
OpenCL C 1.2 is a version of the C-based kernel programming language used to write parallel code for heterogeneous computing devices within the OpenCL 1.2 framework.
-
E.
OpenCL 1.1
OpenCL 1.1 is a revision of the OpenCL standard that refines and extends its cross-platform parallel programming model for heterogeneous computing devices such as CPUs, GPUs, and other accelerators.
- 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_69c68a5e2c9081909e713ce866e0060a |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1f3f5f48190aabe69ba79cbcb93 |
completed | March 27, 2026, 9:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c810ed3a00819088c6eee3d8b8a7e9 |
completed | March 28, 2026, 5:33 p.m. |
Created at: March 27, 2026, 3:09 p.m.