Triple
T27582113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SVGA |
E699609
|
entity |
| Predicate | typicalColorDepth |
P192745
|
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: [SVGA, typicalColorDepth, 8-bit color]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalColorDepth Context triple: [SVGA, typicalColorDepth, 8-bit color]
-
A.
colorDepth
Indicates the bit-depth used to represent the color information of an image or display, defining how many distinct colors can be shown.
-
B.
typicalBitDepth
chosen
Indicates the usual or standard number of bits used to represent each sample or value in a given digital signal or data format.
-
C.
supportsBitDepthUpTo
Indicates the maximum bit depth value that an entity can handle, process, or is compatible with.
-
D.
platformDepth
Indicates the vertical distance or depth of a platform relative to a reference level or surface.
-
E.
maxColorsOnScreen
Indicates the maximum number of distinct colors that can be displayed on the screen at the same time.
- 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_69ef6a4cb8b881909b3a8d630fd89df2 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69ffcf46fd688190907fd1ceb499a8d1 |
completed | May 10, 2026, 12:20 a.m. |
| PD | Predicate disambiguation | batch_69ffccde2a8c81908e055e74077dbd19 |
completed | May 10, 2026, 12:10 a.m. |
Created at: April 27, 2026, 2:03 p.m.