Triple
T11957713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | wlroots |
E284594
|
entity |
| Predicate | supportsInput |
P203
|
FINISHED |
| Object | libinput |
E751204
|
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: libinput | Statement: [wlroots, supportsInput, libinput]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: libinput Context triple: [wlroots, supportsInput, libinput]
-
A.
libinput
chosen
libinput is a generic input handling library used by Wayland compositors and other Linux desktop components to provide unified support for keyboards, pointers, touchpads, and touchscreens.
-
B.
LXInput
LXInput is the keyboard and input configuration tool used within the lightweight LXDE desktop environment.
-
C.
wlroots
wlroots is a modular, compositor-focused library that provides building blocks for creating Wayland compositors, widely used in lightweight and tiling window managers.
-
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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903681a00819098c2b5260e2ef834 |
completed | April 10, 2026, 2:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f459210d1c8190953cd01da3d2ad04 |
completed | May 1, 2026, 7:41 a.m. |
Created at: April 8, 2026, 9:45 p.m.