Triple
T30698613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sony α7 IV |
E781547
|
entity |
| Predicate | videoColorDepth |
P30796
|
FINISHED |
| Object | 10-bit |
—
|
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: 10-bit | Statement: [Sony α7 IV, videoColorDepth, 10-bit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: videoColorDepth Context triple: [Sony α7 IV, videoColorDepth, 10-bit]
-
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.
supportsColorSampling
Indicates that one entity can perform or accommodate color sampling operations on another entity or its data.
-
C.
inputColorChannels
Indicates the specific color channels that are provided as input to a process, function, or model.
-
D.
displayResolution
Indicates the relationship specifying the width and height dimensions at which visual content is rendered or shown on a display.
-
E.
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.
- 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_69f224ab24e08190991d6edb6df58e8b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6afebd7ec8190ab696f363d84abf0 |
completed | May 3, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69f6aca3dedc81908b519d53d2909868 |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 29, 2026, 8:34 p.m.