Triple
T7935883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VGA |
E184287
|
entity |
| Predicate | colorDepthMax |
P30796
|
FINISHED |
| Object | 8-bit color |
—
|
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: 8-bit color | Statement: [VGA, colorDepthMax, 8-bit color]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colorDepthMax Context triple: [VGA, colorDepthMax, 8-bit color]
-
A.
colorDepth
chosen
Indicates the bit-depth used to represent the color information of an image or display, defining how many distinct colors can be shown.
-
B.
maxColorsOnScreen
Indicates the maximum number of distinct colors that can be displayed on the screen at the same time.
-
C.
maximumBrightness
Indicates the highest level of brightness that an entity can reach or exhibit.
-
D.
maximumDepth
Indicates the greatest extent or deepest level reached by something within a given context or structure.
-
E.
maximumResolution
Indicates the highest level of detail or fineness at which something (such as an image, display, or measurement) can be represented or processed.
- 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_69ca8290c21c8190906a5ca6fe2b03c4 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3aede3cc81908b0d3b54e68997b9 |
completed | March 31, 2026, 3:09 a.m. |
| PD | Predicate disambiguation | batch_69cae9335f288190ba96781fd6576a2b |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 5:08 p.m.