Triple
T28610382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quick EMUlator |
E724153
|
entity |
| Predicate | usesAcceleration |
P82506
|
FINISHED |
| Object | hardware-assisted virtualization |
—
|
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: hardware-assisted virtualization | Statement: [Quick EMUlator, usesAcceleration, hardware-assisted virtualization]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesAcceleration Context triple: [Quick EMUlator, usesAcceleration, hardware-assisted virtualization]
-
A.
usedAccelerator
Indicates that an entity has applied or made use of an accelerator (such as a device, mechanism, or process) to increase speed, performance, or progress in relation to another entity or activity.
-
B.
hasAccelerator
Indicates that one entity possesses or is equipped with an accelerator device or mechanism used to increase speed or energy.
-
C.
supportsHardwareAcceleration
chosen
Indicates that one entity enables or provides hardware-based acceleration capabilities for another entity’s operations or processes.
-
D.
accelerates
Indicates that one entity causes an increase in the speed or rate of change of another entity or process.
-
E.
supports3DAcceleration
Indicates that one entity provides or enables hardware- or software-based 3D graphics acceleration 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_69f01d816d7c8190a1fe27e3434041dc |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f67f0488bc819089fbd2d2478158d3 |
completed | May 2, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69f67e3ed894819094c067c1ef624951 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 28, 2026, 4:29 a.m.