Triple
T32417177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avalonia.FuncUI |
E828356
|
entity |
| Predicate | usesRenderingEngineOf |
P84807
|
FINISHED |
| Object | AvaloniaUI |
—
|
NE NERFINISHED |
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: AvaloniaUI | Statement: [Avalonia.FuncUI, usesRenderingEngineOf, AvaloniaUI]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesRenderingEngineOf Context triple: [Avalonia.FuncUI, usesRenderingEngineOf, AvaloniaUI]
-
A.
renderingEngineReplacedBy
Indicates that one rendering engine has been superseded or substituted by another rendering engine.
-
B.
isRenderingOf
Indicates that one entity is a visual or graphical depiction or representation of another entity.
-
C.
supportsRenderingBackend
chosen
Indicates that one entity is capable of using or working with a specified rendering backend to perform rendering operations.
-
D.
includesDisplayEngine
Indicates that one entity contains or incorporates another entity that functions as a display engine.
-
E.
renderingTechnology
Indicates the graphics or visualization method used to generate the visual representation of an object, scene, or interface.
- 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_69f34919f300819092b541c6277cd68a |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f75dc25fa08190b371faf36d9fb72c |
completed | May 3, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f758586534819083e91172f4bf5098 |
completed | May 3, 2026, 2:14 p.m. |
Created at: May 1, 2026, 12:54 a.m.