Triple
T1885045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lazarus IDE |
E39943
|
entity |
| Predicate | supportsWidgetSet |
P203
|
FINISHED |
| Object | GTK2 |
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: GTK2 | Statement: [Lazarus IDE, supportsWidgetSet, GTK2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GTK2 Context triple: [Lazarus IDE, supportsWidgetSet, GTK2]
-
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.
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.
-
D.
Gdi32
Gdi32 is a core Windows graphics library that provides functions for drawing text, shapes, and images and managing graphical device interfaces in the Win32 API.
-
E.
Xfce
Xfce is a lightweight, fast, and modular desktop environment for Unix-like operating systems, designed to be visually appealing while using minimal system resources.
- 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_69a88633e4fc8190b7eb40463e048ec5 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb7c376208190bbf28504f1aac881 |
completed | March 7, 2026, 5:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69addf61413081909c0e840590aaf631 |
completed | March 8, 2026, 8:43 p.m. |
Created at: March 4, 2026, 7:34 p.m.