Triple
T9900106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MVU |
E182260
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object |
Avalonia.FuncUI
Avalonia.FuncUI is a functional, Model-View-Update (MVU) style UI framework for building cross-platform .NET applications with Avalonia.
|
E828356
|
NE FINISHED |
How this triple was built (4 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: Avalonia.FuncUI | Statement: [MVU, usedBy, Avalonia.FuncUI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Avalonia.FuncUI Context triple: [MVU, usedBy, Avalonia.FuncUI]
-
A.
Avalonia
Avalonia was a Paleozoic microcontinent that rifted from Gondwana and later collided with Laurentia and Baltica, helping to form parts of present-day Europe and North America.
-
B.
Blazor
Blazor is a Microsoft web framework that enables developers to build interactive client-side web UIs using C# and .NET instead of JavaScript.
-
C.
WinUI
WinUI is Microsoft's modern native user interface framework for building Windows desktop applications with Fluent Design.
-
D.
SwiftUI
SwiftUI is Apple’s modern declarative user interface framework for building apps across all its platforms using the Swift programming language.
-
E.
Kirigami UI framework
Kirigami UI framework is a cross-platform user interface toolkit from the KDE community designed to create responsive, convergent applications that work seamlessly across desktop and mobile devices.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Avalonia.FuncUI Triple: [MVU, usedBy, Avalonia.FuncUI]
Generated description
Avalonia.FuncUI is a functional, Model-View-Update (MVU) style UI framework for building cross-platform .NET applications with Avalonia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Avalonia.FuncUI Target entity description: Avalonia.FuncUI is a functional, Model-View-Update (MVU) style UI framework for building cross-platform .NET applications with Avalonia.
-
A.
Avalonia
Avalonia was a Paleozoic microcontinent that rifted from Gondwana and later collided with Laurentia and Baltica, helping to form parts of present-day Europe and North America.
-
B.
Blazor
Blazor is a Microsoft web framework that enables developers to build interactive client-side web UIs using C# and .NET instead of JavaScript.
-
C.
WinUI
WinUI is Microsoft's modern native user interface framework for building Windows desktop applications with Fluent Design.
-
D.
SwiftUI
SwiftUI is Apple’s modern declarative user interface framework for building apps across all its platforms using the Swift programming language.
-
E.
Kirigami UI framework
Kirigami UI framework is a cross-platform user interface toolkit from the KDE community designed to create responsive, convergent applications that work seamlessly across desktop and mobile devices.
- F. None of above. chosen
Provenance (5 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_69ca82876f8081909cf75df0f99bb13f |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb4e0705c8190bd17e36aff615cdd |
completed | April 2, 2026, 12:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1eb1b9534819093c5150f1ed8f685 |
completed | April 5, 2026, 4:54 a.m. |
| NEDg | Description generation | batch_69d1ecb3e4a08190add9b971d96f331d |
completed | April 5, 2026, 5:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1ed413edc81908177be16d5127a58 |
completed | April 5, 2026, 5:04 a.m. |
Created at: March 30, 2026, 8:40 p.m.