Triple
T2106750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MATE desktop environment |
E42411
|
entity |
| Predicate | hasUserInterfaceStyle |
P33856
|
FINISHED |
| Object | classic GNOME 2-style interface |
—
|
LITERAL 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: classic GNOME 2-style interface | Statement: [MATE desktop environment, hasUserInterfaceStyle, classic GNOME 2-style interface]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUserInterfaceStyle Context triple: [MATE desktop environment, hasUserInterfaceStyle, classic GNOME 2-style interface]
-
A.
userInterfaceStyle
chosen
Indicates the visual presentation mode or theme (such as light or dark) that the user interface is currently using or configured to use.
-
B.
hasStyle
Indicates that an entity possesses, exhibits, or is characterized by a particular style or manner.
-
C.
hasTouchControls
Indicates that an entity supports or is operated through touch-based input controls.
-
D.
hasContractStyle
Indicates that one entity is associated with or characterized by a particular contract style or contractual format.
-
E.
hasHigherStyleThan
Indicates that one entity’s style is considered superior or more fashionable than another’s.
- F. None of above.
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_69a8871040f08190aac2e2d0ab6b47ad |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abbaddeb148190b728bce7a7b041fb |
completed | March 7, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_69abb7b7b6288190afa11b4d93bd5666 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:43 p.m.