Triple
T28505081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xubuntu |
E721345
|
entity |
| Predicate | supportsGraphicalApplications |
P84825
|
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: [Xubuntu, supportsGraphicalApplications, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsGraphicalApplications Context triple: [Xubuntu, supportsGraphicalApplications, true]
-
A.
supportsGraphicalUserInterface
chosen
Indicates that an entity is capable of operating with or providing a graphical user interface for interaction.
-
B.
supportsGraphicsSwitching
Indicates that an entity can dynamically switch between different graphics hardware or rendering modes, typically to balance performance and power usage.
-
C.
hasGraphicalInstaller
Indicates that an entity provides or supports a graphical (GUI-based) installation interface or process.
-
D.
supports2DGraphicsAcceleration
Indicates that an entity provides hardware or software capabilities to accelerate the processing and rendering of two-dimensional graphics operations.
-
E.
supportsWindowSystem
Indicates that one entity provides compatibility with, or operational support for, a particular windowing system used to manage graphical user interfaces.
- 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_69f01a5c072081908c7b04bcf6478da9 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_6a00b2b425a8819091ff65695e98c3af |
completed | May 10, 2026, 4:30 p.m. |
| PD | Predicate disambiguation | batch_6a00b06efa248190b2d16b4889185119 |
completed | May 10, 2026, 4:21 p.m. |
Created at: April 28, 2026, 3:09 a.m.