Triple

T14395985
Position Surface form Disambiguated ID Type / Status
Subject Evolution E356948 entity
Predicate usesLibrary P4791 FINISHED
Object GTK+ E203866 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: GTK+ | Statement: [Evolution, usesLibrary, GTK+]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GTK+
Context triple: [Evolution, usesLibrary, GTK+]
  • A. GTK chosen
    GTK is a widely used open-source toolkit for creating graphical user interfaces, best known for powering applications in the GNOME desktop environment.
  • B. GTK (for graphical interface)
    GTK is a widely used open-source toolkit for creating graphical user interfaces, particularly on Linux and other Unix-like operating systems.
  • C. GTK#
    GTK# is a .NET language binding for the GTK graphical user interface toolkit, enabling cross-platform GUI development with the Mono framework and other .NET runtimes.
  • D. GLib
    GLib is a low-level core library that forms the foundation of the GNOME platform, providing data structures, utilities, and system abstractions for C and higher-level language bindings.
  • E. GNOME development library
    PyGObject is a Python module that provides bindings for GObject-based libraries, enabling developers to build GNOME and GTK applications in Python.
  • 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90826f908190b3969af9b7cf922f completed April 14, 2026, 7:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd551cbdb08190a9ea53e607f2555b completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:17 a.m.