Triple
T14539122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | bpftrace |
E341123
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | eBPF front-end |
C31226
|
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: eBPF front-end Context triple: [bpftrace, instanceOf, eBPF front-end]
-
A.
binary translation technology
Binary translation technology is a system that dynamically or statically converts compiled machine code from one instruction set architecture to another so that software can run unmodified on different hardware platforms.
-
B.
LLVM sanitizer
An LLVM sanitizer is a runtime instrumentation tool integrated into the LLVM compiler framework that detects specific classes of bugs (such as memory errors, data races, or undefined behavior) by inserting diagnostic checks into compiled programs.
-
C.
LLVM feature
chosen
An LLVM feature is a specific capability or extension within the LLVM compiler infrastructure that provides additional functionality for code analysis, optimization, transformation, or target-specific code generation.
-
D.
programming language implementation
A programming language implementation is the concrete realization of a language’s specification, including its compiler or interpreter, runtime system, and associated tools that translate and execute programs written in that language.
-
E.
BGP implementation
A BGP implementation is a software component that realizes the Border Gateway Protocol’s mechanisms for exchanging, selecting, and propagating routing information between autonomous systems in an IP network.
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
Created at: April 10, 2026, 1:22 a.m.