Triple
T29949096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ATI Flipper |
E760720
|
entity |
| Predicate | colorDepthSupport |
P30796
|
FINISHED |
| Object | 24-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: 24-bit color | Statement: [ATI Flipper, colorDepthSupport, 24-bit color]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colorDepthSupport Context triple: [ATI Flipper, colorDepthSupport, 24-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.
supportsAlphaBitDepth
Indicates that one entity is capable of handling or providing image or video data with an alpha (transparency) channel at a specified bit depth.
-
C.
graphicsCapabilities
Indicates the level or type of graphical processing features or performance that an entity supports or provides.
-
D.
paletteSupport
Indicates that one entity supports, is compatible with, or can correctly handle the color palette defined or used by another entity.
-
E.
supportsColorProfile
Indicates that one entity is capable of recognizing, handling, or applying the specified color profile associated with 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_69f2246562b881909d57622f4086d43d |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6f8565134819096aac0175f924a9f |
completed | May 3, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69f6f65fd1d08190b88e5e68ba268500 |
completed | May 3, 2026, 7:16 a.m. |
Created at: April 29, 2026, 6:25 p.m.