Triple

T14422546
Position Surface form Disambiguated ID Type / Status
Subject QtWebKit E357618 entity
Predicate developedBy P73 FINISHED
Object Trolltech E751189 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: Trolltech | Statement: [QtWebKit, developedBy, Trolltech]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trolltech
Context triple: [QtWebKit, developedBy, Trolltech]
  • A. The Qt Company chosen
    The Qt Company is a Finnish software company best known for developing and maintaining the Qt cross-platform application and user interface framework used worldwide in desktop, mobile, and embedded systems.
  • B. KDE e.V.
    KDE e.V. is the non-profit organization that legally represents and supports the KDE community, managing its finances, trademarks, and overall project coordination.
  • C. Kitware
    Kitware is a software research and development company best known for creating open-source tools and platforms for scientific computing, visualization, and software build management.
  • D. Qt
    Qt is a cross-platform application development framework widely used for building graphical user interfaces and multi-platform software in C++.
  • E. Codership
    Codership is a software company best known for creating the Galera Cluster synchronous multi-master replication technology for MySQL and related databases.
  • 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.