Triple

T18799878
Position Surface form Disambiguated ID Type / Status
Subject PySide2 E459731 entity
Predicate provides P490 FINISHED
Object QtQuick module
The QtQuick module is a Qt framework component that enables building modern, fluid, and dynamic user interfaces using the QML language.
E1344548 NE FINISHED

How this triple was built (4 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: QtQuick module | Statement: [PySide2, provides, QtQuick module]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: QtQuick module
Context triple: [PySide2, provides, QtQuick module]
  • A. QtQml module
    The QtQml module is a Qt framework component that enables building applications with the QML language, supporting declarative UI design and JavaScript integration.
  • B. QML
    QML is a declarative language used in the Qt framework to design fluid, dynamic user interfaces, particularly for mobile and embedded applications.
  • C. Qt
    Qt is a cross-platform application development framework widely used for building graphical user interfaces and multi-platform software in C++.
  • D. QtSvg module
    The QtSvg module is a Qt framework component that enables rendering and handling of Scalable Vector Graphics (SVG) content within Qt applications.
  • E. KDeclarative
    KDeclarative is a KDE Frameworks library that integrates Qt Quick/QML with KDE technologies to simplify building declarative user interfaces.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: QtQuick module
Triple: [PySide2, provides, QtQuick module]
Generated description
The QtQuick module is a Qt framework component that enables building modern, fluid, and dynamic user interfaces using the QML language.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: QtQuick module
Target entity description: The QtQuick module is a Qt framework component that enables building modern, fluid, and dynamic user interfaces using the QML language.
  • A. QtQml module
    The QtQml module is a Qt framework component that enables building applications with the QML language, supporting declarative UI design and JavaScript integration.
  • B. QML
    QML is a declarative language used in the Qt framework to design fluid, dynamic user interfaces, particularly for mobile and embedded applications.
  • C. Qt
    Qt is a cross-platform application development framework widely used for building graphical user interfaces and multi-platform software in C++.
  • D. QtSvg module
    The QtSvg module is a Qt framework component that enables rendering and handling of Scalable Vector Graphics (SVG) content within Qt applications.
  • E. KDeclarative
    KDeclarative is a KDE Frameworks library that integrates Qt Quick/QML with KDE technologies to simplify building declarative user interfaces.
  • F. None of above. chosen

Provenance (5 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_69d8d398c7d4819091cb2f7e48948aeb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5a02273b481909bc250144a0ace32 completed April 20, 2026, 3:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a055bbcb2508190a651701c4a56252f completed May 14, 2026, 5:21 a.m.
NEDg Description generation batch_6a055fe446948190a67cc8bcd93cd587 completed May 14, 2026, 5:38 a.m.
NED2 Entity disambiguation (via description) batch_6a056034b0ac8190b5bf66ec10e70dce completed May 14, 2026, 5:40 a.m.
Created at: April 10, 2026, 11:53 a.m.