Triple
T14439933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SWT |
E358058
|
entity |
| Predicate | supportsLookAndFeel |
P83860
|
FINISHED |
| Object | platform-native look and feel |
—
|
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: platform-native look and feel | Statement: [SWT, supportsLookAndFeel, platform-native look and feel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsLookAndFeel Context triple: [SWT, supportsLookAndFeel, platform-native look and feel]
-
A.
supportsGraphicalUserInterface
Indicates that an entity is capable of operating with or providing a graphical user interface for interaction.
-
B.
platformAppearance
Indicates how an entity is visually presented or styled on a particular platform or interface.
-
C.
usesVisualMotif
Indicates that one entity employs a recurring visual element or pattern as a motif in relation to another entity or context.
-
D.
supportsThemingSystem
chosen
Indicates that an entity is compatible with and can operate using a theming system for customizable appearance or style.
-
E.
usesGUIFramework
Indicates that one entity employs or is built upon a particular graphical user interface (GUI) framework to provide its visual or interactive functionality.
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de914c1398819090fa2a74d257ba3e |
completed | April 14, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69de5c3a02fc819097373f97a260cdeb |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:18 a.m.