Triple

T8682019
Position Surface form Disambiguated ID Type / Status
Subject Razor-qt E206059 entity
Predicate usesToolkit P28572 FINISHED
Object Qt E206057 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: Qt | Statement: [Razor-qt, usesToolkit, Qt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Qt
Context triple: [Razor-qt, usesToolkit, Qt]
  • A. Qt chosen
    Qt is a cross-platform application development framework widely used for building graphical user interfaces and multi-platform software in C++.
  • B. KDE Frameworks
    KDE Frameworks is a collection of modular, reusable libraries and software components that provide core functionality and services for building KDE and Qt-based applications.
  • C. QtWebKit
    QtWebKit is a port of the WebKit browser engine that integrates it with the Qt application framework for embedding web content in Qt-based applications.
  • D. KDE Plasma desktop environment
    KDE Plasma desktop environment is a highly customizable, feature-rich graphical workspace for Linux and other Unix-like systems, known for its modern design, extensive configuration options, and integration with the KDE software ecosystem.
  • E. LXQt desktop environment
    LXQt desktop environment is a lightweight, modular, and Qt-based graphical desktop environment designed to be fast and resource-efficient, particularly suitable for older or low-spec hardware.
  • 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_69ca835379688190aa06b9d98e684d58 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4ae82e508190b0243328e98fcb1d completed March 31, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef3b9fb848190b7126f8f6a1ba76f completed April 2, 2026, 10:54 p.m.
Created at: March 30, 2026, 6:32 p.m.