Triple
T14539101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | eBPF |
E341122
|
entity |
| Predicate | hasUserSpaceComponent |
P114850
|
FINISHED |
| Object | bpftrace |
E341123
|
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: bpftrace | Statement: [eBPF, hasUserSpaceComponent, bpftrace]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: bpftrace Context triple: [eBPF, hasUserSpaceComponent, bpftrace]
-
A.
bpftrace
chosen
bpftrace is a high-level tracing language and tool for Linux that leverages eBPF to enable powerful, dynamic instrumentation and performance analysis of running systems.
-
B.
BPF
BPF is the abbreviation for the British Pacific Fleet, a major Royal Navy formation that operated in the Pacific theater during the final stages of World War II.
-
C.
BPF
BPF is the IATA airport code for Buala Airport, which serves the town of Buala in the Solomon Islands.
-
D.
eBPF
eBPF is a powerful in-kernel virtual machine and programmable framework in the Linux kernel that enables safe, efficient, and dynamic instrumentation, networking, and security observability without modifying kernel source code.
-
E.
DTrace
DTrace is a comprehensive dynamic tracing framework originally developed for Solaris that enables real-time, low-overhead observability and debugging of operating systems and applications.
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb1bb90008190947ac0961393446d |
completed | April 14, 2026, 9:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a5cca788190aa8762d860c78721 |
completed | May 8, 2026, 5:53 a.m. |
Created at: April 10, 2026, 1:22 a.m.