Triple

T3415031
Position Surface form Disambiguated ID Type / Status
Subject Scala E71988 entity
Predicate platform P1292 FINISHED
Object .NET Framework E5703 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 Framework | Statement: [Scala, platform, .NET Framework]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: .NET Framework
Context triple: [Scala, platform, .NET Framework]
  • A. .NET Framework chosen
    The .NET Framework is a Windows-based software development platform and runtime environment that provides a large class library and supports multiple programming languages for building and running applications.
  • B. .net
    .net is a widely used generic top-level domain on the internet, commonly associated with network services and infrastructure-related websites.
  • 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. Windows Communication Foundation
    Windows Communication Foundation is a Microsoft framework for building and running service-oriented, distributed applications that communicate over various network protocols.
  • 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.
  • 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_69ad85ac312481909e7027ced1456a9f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb929b8ec8190aef431ec8ea2cf80 completed March 8, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69b34be16dd48190a51f4e13a6a13a4f completed March 12, 2026, 11:27 p.m.
Created at: March 8, 2026, 3:15 p.m.