Triple

T8608699
Position Surface form Disambiguated ID Type / Status
Subject GTK E203866 entity
Predicate majorVersion P10600 FINISHED
Object GTK 3 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 3 | Statement: [GTK, majorVersion, GTK 3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GTK 3
Context triple: [GTK, majorVersion, GTK 3]
  • 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. WebKitGTK
    WebKitGTK is the GTK-based port of the WebKit browser engine used to embed modern web content in Linux and other GTK applications.
  • D. GNOME Shell
    GNOME Shell is the core graphical user interface and desktop environment component of the GNOME project, providing the primary user experience on many Linux-based systems.
  • E. PyGObject
    PyGObject is a Python package that provides bindings for GObject-based libraries, enabling Python applications to use the GNOME and GTK+ frameworks through the GObject Introspection system.
  • 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_69ca832c23e4819095a9f3eea4a21828 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46ed77588190a872d22d9d1f7429 completed March 31, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea90dd93081908140ac0ce23be820 completed April 2, 2026, 5:36 p.m.
Created at: March 30, 2026, 6:25 p.m.