Triple
T1774715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sega Mega Drive |
E38951
|
entity |
| Predicate | maxOnScreenColors |
P30793
|
FINISHED |
| Object | 64 colors |
—
|
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: 64 colors | Statement: [Sega Mega Drive, maxOnScreenColors, 64 colors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maxOnScreenColors Context triple: [Sega Mega Drive, maxOnScreenColors, 64 colors]
-
A.
maxColorsOnScreen
chosen
Indicates the maximum number of distinct colors that can be displayed on the screen at the same time.
-
B.
hasNumberOfScreens
Indicates the quantity of screens associated with or contained in a given entity.
-
C.
colorDepth
Indicates the bit-depth used to represent the color information of an image or display, defining how many distinct colors can be shown.
-
D.
paletteSize
Indicates the number of distinct colors included in a given color palette.
-
E.
displayResolution
Indicates the relationship specifying the width and height dimensions at which visual content is rendered or shown on a display.
- 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_69a8862e61708190af97b9838cc3f5de |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab17e368048190b7b73d156400f772 |
completed | March 6, 2026, 6:07 p.m. |
| PD | Predicate disambiguation | batch_69aa61cd4c1c8190a8dff391f5642bfe |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:31 p.m.