Triple

T1610841
Position Surface form Disambiguated ID Type / Status
Subject Xamarin E34609 entity
Predicate supersededBy P101 FINISHED
Object .NET MAUI E182255 NE 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: .NET MAUI | Statement: [Xamarin, supersededBy, .NET MAUI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: .NET MAUI
Context triple: [Xamarin, supersededBy, .NET MAUI]
  • A. .NET MAUI chosen
    .NET MAUI is a cross-platform framework from Microsoft for building native desktop and mobile applications with a single .NET codebase and shared UI.
  • B. 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.
  • C. WinUI
    WinUI is Microsoft's modern native user interface framework for building Windows desktop applications with Fluent Design.
  • D. Universal Windows Platform
    Universal Windows Platform is Microsoft's application development framework that enables building and distributing apps across a wide range of Windows devices with a unified API and app model.
  • E. Windows App SDK
    Windows App SDK is a unified set of developer tools and APIs for building modern Windows desktop applications with consistent UI, app model, and system integration across different Windows versions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a885ffc5ec819091afa325d5f9611c completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa622b9fbc8190bff82acdde10deb6 completed March 6, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad60903f94819095dc90d6ce959017 completed March 8, 2026, 11:42 a.m.
Created at: March 4, 2026, 7:28 p.m.