Triple
T1718477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KVM |
E37340
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Kernel-based Virtual Machine |
E37340
|
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: Kernel-based Virtual Machine | Statement: [KVM, fullName, Kernel-based Virtual Machine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kernel-based Virtual Machine Context triple: [KVM, fullName, Kernel-based Virtual Machine]
-
A.
KVM
chosen
KVM (Kernel-based Virtual Machine) is a Linux kernel module that turns the kernel into a hypervisor, enabling hardware-assisted virtualization of multiple virtual machines.
-
B.
Xen
Xen is an open-source type-1 hypervisor that enables efficient virtualization of multiple operating systems on the same physical hardware.
-
C.
VirtualBox
VirtualBox is a popular open-source virtualization platform that allows users to run multiple operating systems simultaneously on a single physical machine.
-
D.
VMX
VMX is a vector processing extension to the PowerPC architecture designed to accelerate multimedia, signal processing, and other parallelizable computations.
-
E.
Hyper-V
Hyper-V is Microsoft's native hypervisor platform that enables the creation and management of virtual machines on Windows systems.
- 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_69a8861912dc8190931af43b4b9158a7 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa6337d8408190bdba8b50652d50ae |
completed | March 6, 2026, 5:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad8ae6940c81909c1ebdfb0cdef5fc |
completed | March 8, 2026, 2:42 p.m. |
Created at: March 4, 2026, 7:30 p.m.