Triple

T14422421
Position Surface form Disambiguated ID Type / Status
Subject KHTML E357615 entity
Predicate platform P1292 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: [KHTML, platform, Qt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Qt
Context triple: [KHTML, platform, 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. QML
    QML is a declarative language used in the Qt framework to design fluid, dynamic user interfaces, particularly for mobile and embedded applications.
  • C. 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.
  • D. Qt Creator
    Qt Creator is a cross-platform integrated development environment primarily designed for developing applications with the Qt application framework in C++ and QML.
  • E. Qt Jambi
    Qt Jambi is a set of Java bindings for the Qt application framework, enabling developers to build cross-platform GUI and non-GUI applications in Java using Qt’s features.
  • 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91102c3c81908f571a1fff3bdd47 completed April 14, 2026, 7:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bcb131c8190935d9bacb1afc995 completed May 8, 2026, 3:43 a.m.
Created at: April 10, 2026, 1:18 a.m.