Triple
T4326077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TPUs (via XLA integrations) |
E96636
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | XLA-based compilation target |
C5302
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: XLA-based compilation target Context triple: [TPUs (via XLA integrations), instanceOf, XLA-based compilation target]
-
A.
GPU-accelerated array library
A GPU-accelerated array library is a software toolkit that provides high-level, NumPy-like array operations executed on graphics processing units to enable massively parallel, high-performance numerical computing.
-
B.
GPU computing framework
A GPU computing framework is a software platform that enables developers to write, manage, and optimize parallel programs that execute on graphics processing units for high-performance computation.
-
C.
compiler
chosen
A compiler is a software tool that translates source code written in a high-level programming language into a lower-level target language, typically machine code or bytecode, while performing analysis and optimizations.
-
D.
compiled language
A compiled language is a programming language whose source code is translated by a compiler into machine code or an intermediate form before execution, typically resulting in faster runtime performance.
-
E.
compilation special
A compilation special is a curated program that assembles and edits together selected segments, highlights, or episodes—often with minimal new material—to present them as a single, cohesive viewing experience.
- F. None of above.
Provenance (1 batch)
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_69b34542fd908190b11b08faad8decfd |
completed | March 12, 2026, 10:59 p.m. |
Created at: March 12, 2026, 11:13 p.m.