Triple
T28584008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luna theme |
E723443
|
entity |
| Predicate | hasWindowBorderStyle |
P171462
|
FINISHED |
| Object | rounded corners |
—
|
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: rounded corners | Statement: [Luna theme, hasWindowBorderStyle, rounded corners]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWindowBorderStyle Context triple: [Luna theme, hasWindowBorderStyle, rounded corners]
-
A.
hasWindowStyle
Indicates that an entity possesses or is characterized by a particular style or type of window.
-
B.
hasWindowTitleBarColor
Indicates the relationship between a window and the specific color used for its title bar.
-
C.
windowManagementStyle
Indicates how windows are organized, displayed, and controlled within a user interface or system.
-
D.
hasWindowsShape
Indicates that an object possesses a particular geometric or stylistic form characteristic of windows.
-
E.
isBorderless
Indicates that an entity lacks defined or visible boundaries, edges, or borders in its form, structure, or representation.
- F. None of above. chosen
Provenance (4 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_69f01d7f92e481909847f5f3f3174a89 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f69f80b62c8190bf2af2be0d3a7df8 |
completed | May 3, 2026, 1:06 a.m. |
| PD | Predicate disambiguation | batch_69f69d17e8d48190b30bcc2f4bd81eb2 |
completed | May 3, 2026, 12:55 a.m. |
| PDg | Predicate description generation | batch_69f69edae2448190925ce701c8792c52 |
completed | May 3, 2026, 1:03 a.m. |
Created at: April 28, 2026, 4:16 a.m.