Triple

T17520961
Position Surface form Disambiguated ID Type / Status
Subject GPU E426676 entity
Predicate supports P516 FINISHED
Object OpenCL NE NERFINISHED

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: [GPU, supports, OpenCL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OpenCL
Context triple: [GPU, 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 2.0
    OpenCL 2.0 is a version of the open standard parallel programming framework that enables heterogeneous computing across CPUs, GPUs, and other processors with features like shared virtual memory and improved kernel execution models.
  • C. OpenCL 2.2
    OpenCL 2.2 is a version of the OpenCL standard that enhances heterogeneous parallel programming with features like improved kernel language support and better integration with modern C++-based compute models.
  • D. 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.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e452d23cf08190925510344fa36f57 completed April 19, 2026, 3:58 a.m.
Created at: April 10, 2026, 5:49 a.m.