Triple
T21832325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MOS Technology VIC-II |
E539027
|
entity |
| Predicate | multicolorBitmapResolution |
P33105
|
FINISHED |
| Object | 160×200 pixels |
—
|
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: 160×200 pixels | Statement: [MOS Technology VIC-II, multicolorBitmapResolution, 160×200 pixels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: multicolorBitmapResolution Context triple: [MOS Technology VIC-II, multicolorBitmapResolution, 160×200 pixels]
-
A.
printingResolution
Indicates the level of detail or clarity at which something is printed, typically measured as resolution (e.g., dots per inch).
-
B.
hasNumberOfColors
Indicates the quantity of distinct colors associated with an entity.
-
C.
typicalResolution
chosen
Indicates the usual or standard level of detail or clarity at which something (such as an image, display, or representation) is normally rendered or presented.
-
D.
maximumResolution
Indicates the highest level of detail or fineness at which something (such as an image, display, or measurement) can be represented or processed.
-
E.
sensorResolution
Indicates the level of detail or precision with which a sensor can measure or distinguish changes in the observed quantity or environment.
- 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_69e0c475cda88190987d08f23caebdc1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0a7a4d2d0819088ded045caeab52d |
completed | April 28, 2026, 12:27 p.m. |
| PD | Predicate disambiguation | batch_69e6be8c14748190bdcc44a14d50bea4 |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 6:55 p.m.