Triple
T30405502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mach-O binary format |
E773465
|
entity |
| Predicate | usedByKernel |
P8459
|
FINISHED |
| Object | XNU 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: XNU kernel | Statement: [Mach-O binary format, usedByKernel, XNU kernel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedByKernel Context triple: [Mach-O binary format, usedByKernel, XNU kernel]
-
A.
hasKernel
Indicates that one entity functions as the kernel (core or central component) of another entity.
-
B.
usedByServer
Indicates that something (such as a resource, component, or configuration) is utilized or relied upon by a server in its operation.
-
C.
intendedKernelBase
Indicates that one entity is designated to serve as the foundational or primary kernel (core component) upon which another entity is based or built.
-
D.
usedBySystem
chosen
Indicates that something is utilized or operated by a particular system.
-
E.
usedByToolchain
Indicates that something is utilized or consumed as part of a toolchain’s processing or workflow.
- F. None of above.
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_69f2248facd48190b183c3f3ca6daef7 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f79f48acec8190a9d5964581a94f6c |
completed | May 3, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69f79e4888248190be2f63cdfb5cd7b7 |
completed | May 3, 2026, 7:13 p.m. |
Created at: April 29, 2026, 8:03 p.m.