Triple

T9898537
Position Surface form Disambiguated ID Type / Status
Subject Razor E182233 entity
Predicate usedIn P98 FINISHED
Object Razor Pages E184864 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: Razor Pages | Statement: [Razor, usedIn, Razor Pages]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Razor Pages
Context triple: [Razor, usedIn, Razor Pages]
  • A. ASP.NET Core Razor Pages chosen
    ASP.NET Core Razor Pages is a page-focused web application framework in ASP.NET Core that simplifies building dynamic, server-rendered websites using a model-view-like pattern without requiring full MVC structure.
  • 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. dotnet/aspnetcore
    dotnet/aspnetcore is the official open-source framework and set of libraries for building modern, cloud-ready, cross-platform web applications and services on .NET.
  • D. ASP.NET
    ASP.NET is a Microsoft web application framework for building dynamic, data-driven websites, services, and applications on the .NET platform.
  • E. Power Pages
    Power Pages is a Microsoft low-code platform for building secure, data-driven business websites as part of the Power Platform suite.
  • 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_69ca82876f8081909cf75df0f99bb13f completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb4ac27d88190b8255f7e616f95c9 completed April 2, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1eb17ed548190a2510a667dd988ca completed April 5, 2026, 4:54 a.m.
Created at: March 30, 2026, 8:40 p.m.