Triple
T8610529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rust-VMM project |
E203902
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | virtio |
E724172
|
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: virtio | Statement: [Rust-VMM project, relatedTo, virtio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: virtio Context triple: [Rust-VMM project, relatedTo, virtio]
-
A.
virtio
chosen
virtio is a standardized paravirtualization framework that provides efficient, device-agnostic I/O interfaces for virtual machines in environments like KVM/QEMU.
-
B.
Intel VT-d
Intel VT-d is Intel’s hardware-assisted I/O virtualization technology that enables secure and efficient direct device assignment to virtual machines.
-
C.
Libvirt
Libvirt is an open-source API, daemon, and management tool for managing platform virtualization technologies such as KVM, QEMU, and Xen.
-
D.
KubeVirt
KubeVirt is an open source Kubernetes extension that enables running and managing virtual machine workloads alongside containerized applications on a unified platform.
-
E.
QEMU
QEMU is an open-source machine emulator and virtualizer that enables running operating systems and programs for one hardware platform on another.
- 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_69ca832c23e4819095a9f3eea4a21828 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46ee96ac8190809817c403da2889 |
completed | March 31, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cea90dd93081908140ac0ce23be820 |
completed | April 2, 2026, 5:36 p.m. |
Created at: March 30, 2026, 6:25 p.m.