Triple
T10156569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enhanced Graphics Adapter |
E233789
|
entity |
| Predicate | paletteSource |
P53192
|
FINISHED |
| Object | on-board color palette registers |
—
|
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: on-board color palette registers | Statement: [Enhanced Graphics Adapter, paletteSource, on-board color palette registers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: paletteSource Context triple: [Enhanced Graphics Adapter, paletteSource, on-board color palette registers]
-
A.
paletteSize
Indicates the number of distinct colors included in a given color palette.
-
B.
colorOrigin
chosen
Indicates the source or cause from which an entity’s color is derived or determined.
-
C.
primaryColorPalette
Indicates the set of main or dominant colors associated with an entity, typically used as its core color scheme.
-
D.
coverArtFeaturesColor
Indicates that the cover art includes or prominently displays a specific color as part of its visual design.
-
E.
colors
Indicates that one entity assigns, describes, or provides the color or colors of another entity.
- 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_69ca848e80748190b91d1e04d35512c7 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdec3c47dc81909679903e6024eb49 |
completed | April 2, 2026, 4:10 a.m. |
| PD | Predicate disambiguation | batch_69cd4ba795808190acc9124c98c6e40f |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 9:09 p.m.