Triple
T13019642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TMainMenu |
E322639
|
entity |
| Predicate | componentPalettePage |
P107483
|
FINISHED |
| Object | Standard |
—
|
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: Standard | Statement: [TMainMenu, componentPalettePage, Standard]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: componentPalettePage Context triple: [TMainMenu, componentPalettePage, Standard]
-
A.
colorComponent
Indicates that one entity is a component or constituent part of the overall color of another entity.
-
B.
paletteSize
Indicates the number of distinct colors included in a given color palette.
-
C.
primaryColorPalette
Indicates the set of main or dominant colors associated with an entity, typically used as its core color scheme.
-
D.
colors
Indicates that one entity assigns, describes, or provides the color or colors of another entity.
-
E.
pasteColor
Indicates that one entity applies or transfers a color from a source to a target, effectively pasting that color onto the target.
- 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97ecf21bc819082fb512bc479b4be |
completed | April 10, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69d97dc39a0881908119c62e31bf6182 |
completed | April 10, 2026, 10:46 p.m. |
| PDg | Predicate description generation | batch_69d97e3df2288190a7f27d31d248bb7f |
completed | April 10, 2026, 10:48 p.m. |
Created at: April 9, 2026, 8:51 p.m.