Triple
T1926057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KDE Plasma |
E40833
|
entity |
| Predicate | supports |
P516
|
FINISHED |
| Object | X11 |
E59590
|
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: X11 | Statement: [KDE Plasma, supports, X11]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: X11 Context triple: [KDE Plasma, supports, X11]
-
A.
X11
chosen
X11 is a widely used windowing system and network-transparent graphical protocol that provides the foundational GUI framework for Unix-like operating systems.
-
B.
IceWM
IceWM is a lightweight, fast, and highly configurable stacking window manager for the X Window System, popular on resource-constrained Linux and Unix-like systems.
-
C.
Desktop Window Manager
Desktop Window Manager is the compositing window manager in modern Microsoft Windows that handles visual effects, window rendering, and desktop composition using hardware acceleration.
-
D.
Wayland
Wayland is a modern display server protocol for Linux and other Unix-like systems designed to replace the X Window System with a simpler, more efficient architecture.
-
E.
Wayland
Wayland is a small city in Allegan County, Michigan, known for its rural character and proximity to Grand Rapids.
- 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_69a8864711648190b07bed24ed76258e |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb261ef8481909be2390ac5a02622 |
completed | March 7, 2026, 5:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adf3e881748190b00f125185e91271 |
completed | March 8, 2026, 10:10 p.m. |
Created at: March 4, 2026, 7:35 p.m.