Triple

T265106
Position Surface form Disambiguated ID Type / Status
Subject C# E5704 entity
Predicate usedIn P98 FINISHED
Object .NET MAUI
.NET MAUI is a cross-platform framework from Microsoft for building native desktop and mobile applications with a single C# and XAML codebase.
E34609 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: .NET MAUI | Statement: [C#, usedIn, .NET MAUI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: .NET MAUI
Context triple: [C#, usedIn, .NET MAUI]
  • A. Xamarin
    Xamarin is a cross-platform mobile app development framework that allows developers to build native iOS, Android, and Windows applications using C# and .NET.
  • B. WinUI
    WinUI is Microsoft's modern native user interface framework for building Windows desktop applications with Fluent Design.
  • C. Windows Presentation Foundation
    Windows Presentation Foundation is a Microsoft UI framework for building rich, desktop client applications on Windows using XAML and .NET.
  • D. .NET Core
    .NET Core is a cross-platform, open-source, modular implementation of the .NET platform designed for building modern, cloud-based, and high-performance applications.
  • E. Windows Forms
    Windows Forms is a graphical user interface (GUI) framework for building desktop applications on the Microsoft Windows platform using the .NET framework.
  • 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: .NET MAUI
Triple: [C#, usedIn, .NET MAUI]
Generated description
.NET MAUI is a cross-platform framework from Microsoft for building native desktop and mobile applications with a single C# and XAML codebase.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: .NET MAUI
Target entity description: .NET MAUI is a cross-platform framework from Microsoft for building native desktop and mobile applications with a single C# and XAML codebase.
  • A. Xamarin chosen
    Xamarin is a cross-platform mobile app development framework that allows developers to build native iOS, Android, and Windows applications using C# and .NET.
  • B. WinUI
    WinUI is Microsoft's modern native user interface framework for building Windows desktop applications with Fluent Design.
  • C. Windows Presentation Foundation
    Windows Presentation Foundation is a Microsoft UI framework for building rich, desktop client applications on Windows using XAML and .NET.
  • D. .NET Core
    .NET Core is a cross-platform, open-source, modular implementation of the .NET platform designed for building modern, cloud-based, and high-performance applications.
  • E. Windows Forms
    Windows Forms is a graphical user interface (GUI) framework for building desktop applications on the Microsoft Windows platform using the .NET framework.
  • F. None of above.

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_69a2587daeb081909591b9d30f80a271 completed Feb. 28, 2026, 2:52 a.m.
NER Named-entity recognition batch_69a25d8f9bbc8190a13841e4de093a66 completed Feb. 28, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69a38f4fa8908190961d1bc22a75a081 completed March 1, 2026, 12:58 a.m.
NEDg Description generation batch_69a38fd6772081908bbaf308bdbcd5f6 completed March 1, 2026, 1:01 a.m.
NED2 Entity disambiguation (via description) batch_69a3908a50088190a7cea3de890a8e86 completed March 1, 2026, 1:04 a.m.
Created at: Feb. 28, 2026, 2:56 a.m.