Triple

T18799747
Position Surface form Disambiguated ID Type / Status
Subject PyQt5 E459729 entity
Predicate hasModule P12988 FINISHED
Object PyQt5.QtNetwork NE NERFINISHED

How this triple was built (3 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: PyQt5.QtNetwork | Statement: [PyQt5, hasModule, PyQt5.QtNetwork]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PyQt5.QtNetwork
Context triple: [PyQt5, hasModule, PyQt5.QtNetwork]
  • A. PyQt5 or PySide2
    PyQt5 or PySide2 are Python bindings for the Qt5 application framework, commonly used to create cross-platform graphical user interfaces.
  • B. PySide2
    PySide2 is the official Python binding for the Qt 5 application framework, enabling the creation of cross-platform graphical user interfaces.
  • C. Qt5Agg
    Qt5Agg is a Matplotlib rendering backend that combines the Qt5 GUI framework with the Anti-Grain Geometry (Agg) engine to display high-quality interactive plots.
  • D. Qt WebEngine
    Qt WebEngine is a Qt framework module that embeds a Chromium-based web browser engine to enable rendering and interaction with web content in Qt applications.
  • E. QT Py boards
    QT Py boards are tiny, feature-packed microcontroller development boards from Adafruit designed for compact electronics projects and rapid prototyping.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: PyQt5.QtNetwork
Target entity description: PyQt5.QtNetwork is the PyQt5 module that provides Python bindings for Qt’s network classes, enabling TCP/UDP sockets, HTTP requests, and other network-related functionality in Qt applications.
  • A. PyQt5 or PySide2
    PyQt5 or PySide2 are Python bindings for the Qt5 application framework, commonly used to create cross-platform graphical user interfaces.
  • B. PySide2
    PySide2 is the official Python binding for the Qt 5 application framework, enabling the creation of cross-platform graphical user interfaces.
  • C. Qt5Agg
    Qt5Agg is a Matplotlib rendering backend that combines the Qt5 GUI framework with the Anti-Grain Geometry (Agg) engine to display high-quality interactive plots.
  • D. Qt WebEngine
    Qt WebEngine is a Qt framework module that embeds a Chromium-based web browser engine to enable rendering and interaction with web content in Qt applications.
  • E. QT Py boards
    QT Py boards are tiny, feature-packed microcontroller development boards from Adafruit designed for compact electronics projects and rapid prototyping.
  • F. None of above. chosen

Provenance (2 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.
Created at: April 10, 2026, 11:53 a.m.