Triple
T12562320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VisualWorks |
E295379
|
entity |
| Predicate | hasVirtualMachine |
P105441
|
FINISHED |
| Object | true |
—
|
LITERAL 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: true | Statement: [VisualWorks, hasVirtualMachine, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVirtualMachine Context triple: [VisualWorks, hasVirtualMachine, true]
-
A.
requiresVirtualMachine
Indicates that one entity depends on or must be run within a virtual machine provided by another entity in order to function or be valid.
-
B.
supportsNestedVirtualization
Indicates that one computing environment or platform enables and correctly handles running virtual machines inside other virtual machines.
-
C.
virtualizationType
Indicates the specific method or technology by which a resource, system, or environment is virtualized.
-
D.
supportsKVM
Indicates that one entity provides compatibility with or the capability to run KVM (Kernel-based Virtual Machine) for another entity.
-
E.
supportsParavirtualization
Indicates that one entity provides the capability for another entity to run in a paravirtualized environment or to use paravirtualization features.
- F. None of above. chosen
Provenance (4 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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9550d84908190aea0f50055f6d92e |
completed | April 10, 2026, 7:52 p.m. |
| PD | Predicate disambiguation | batch_69d95414692881909c52a1de7d224b44 |
completed | April 10, 2026, 7:48 p.m. |
| PDg | Predicate description generation | batch_69d9550af6d48190a40e349ed0424be3 |
completed | April 10, 2026, 7:52 p.m. |
Created at: April 8, 2026, 11:48 p.m.