Triple
T31498610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple Virtualization Framework |
E803614
|
entity |
| Predicate | supportsLinuxGuests |
P82507
|
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: [Apple Virtualization Framework, supportsLinuxGuests, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsLinuxGuests Context triple: [Apple Virtualization Framework, supportsLinuxGuests, true]
-
A.
supportsGuest
Indicates that one entity provides assistance, resources, or accommodation to another entity in the role of a guest.
-
B.
supportsGuestArchitecture
chosen
Indicates that one entity provides the necessary capabilities or environment to run or host the specified guest architecture of another entity.
-
C.
supportsParavirtualization
Indicates that one entity provides the capability for another entity to run in a paravirtualized environment or to use paravirtualization features.
-
D.
supportsNestedVirtualization
Indicates that one computing environment or platform enables and correctly handles running virtual machines inside other virtual machines.
-
E.
supportsKVM
Indicates that one entity provides compatibility with or the capability to run KVM (Kernel-based Virtual Machine) for another entity.
- 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_69f348cae52081909fa8e5f697523ae3 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e7aa0c8190bdc9ee4d54fc821b |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 30, 2026, 9:43 p.m.