Triple
T8608923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GNOME Software |
E203871
|
entity |
| Predicate | usesToolkit |
P28572
|
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: [GNOME Software, usesToolkit, GTK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GTK Context triple: [GNOME Software, usesToolkit, 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.
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.
-
D.
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.
-
E.
WebKitGTK
WebKitGTK is the GTK-based port of the WebKit browser engine used to embed modern web content in Linux and other GTK applications.
- 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_69cf425b8a2c81909b1f8ce5da6d36fd |
completed | April 3, 2026, 4:30 a.m. |
Created at: March 30, 2026, 6:25 p.m.