Triple
T17560476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ULE scheduler |
E427683
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | FreeBSD kernel |
—
|
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: FreeBSD kernel | Statement: [ULE scheduler, partOf, FreeBSD kernel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FreeBSD kernel Context triple: [ULE scheduler, partOf, FreeBSD kernel]
-
A.
FreeBSD
chosen
FreeBSD is a free and open-source Unix-like operating system known for its reliability, advanced networking features, and use in servers, storage, and embedded systems.
-
B.
OpenBSD
OpenBSD is a free, security-focused, Unix-like operating system known for its code correctness, proactive security features, and integrated cryptographic tools.
-
C.
FreeBSD boot loader
The FreeBSD boot loader is the system component that initializes and starts the FreeBSD operating system kernel during the machine’s startup process.
-
D.
XNU
XNU is the hybrid operating system kernel developed by Apple that powers macOS and other Apple platforms, combining components from Mach and BSD.
-
E.
NetBSD
NetBSD is a free, open-source, Unix-like operating system known for its portability and clean design, supporting a wide range of hardware platforms.
- 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_69d889e0385081908a04b66f4dd4bd0d |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e456267e208190a1238fbe1a535bb0 |
completed | April 19, 2026, 4:12 a.m. |
Created at: April 10, 2026, 5:50 a.m.