Triple

T14394992
Position Surface form Disambiguated ID Type / Status
Subject dotTrace E356929 entity
Predicate targetPlatform P5090 FINISHED
Object Windows Forms E34608 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: Windows Forms | Statement: [dotTrace, targetPlatform, Windows Forms]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Windows Forms
Context triple: [dotTrace, targetPlatform, Windows Forms]
  • A. Windows Forms chosen
    Windows Forms is a graphical user interface (GUI) framework for building desktop applications on the Microsoft Windows platform using the .NET framework.
  • B. Windows Presentation Foundation
    Windows Presentation Foundation is a Microsoft UI framework for building rich, desktop client applications on Windows using XAML and .NET.
  • C. .NET Framework
    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.
  • D. WPF
    WPF is the commonly used abbreviation for the WordPress Foundation, the nonprofit organization that supports and promotes the open-source WordPress project.
  • E. .net
    .net is a widely used generic top-level domain on the internet, commonly associated with network services and infrastructure-related websites.
  • 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de902d114881908a8f3c01b3c6d309 completed April 14, 2026, 7:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd551b006c8190b84449f2e2b59b62 completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:16 a.m.