Triple
T30884515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fujifilm X-S10 |
E786720
|
entity |
| Predicate | videoBitDepthExternal |
P171079
|
FINISHED |
| Object | 10-bit 4:2:2 via HDMI |
—
|
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 4:2:2 via HDMI | Statement: [Fujifilm X-S10, videoBitDepthExternal, 10-bit 4:2:2 via HDMI]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: videoBitDepthExternal Context triple: [Fujifilm X-S10, videoBitDepthExternal, 10-bit 4:2:2 via HDMI]
-
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.
videoInternal10bit
chosen
Indicates that the video is encoded internally using a 10-bit color depth.
-
C.
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.
-
D.
bitstreamFormat
Indicates the specific encoding or structural format used to organize data within a digital bitstream.
-
E.
maximumBitrate
Indicates the highest data transfer rate allowed or supported for a given media stream or connection.
- 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_69f224bbfa7c81908448e0c261c523e3 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6db1f3ec48190a82e7d893d3c76ba |
completed | May 3, 2026, 5:20 a.m. |
| PD | Predicate disambiguation | batch_69f6d82adfa481908a5e196d2e18c73f |
completed | May 3, 2026, 5:07 a.m. |
Created at: April 29, 2026, 8:49 p.m.