Triple
T31008953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fujifilm X-T30 |
E790152
|
entity |
| Predicate | videoBitDepthHDMI |
P179055
|
FINISHED |
| Object | 10-bit 4:2:2 (external) |
—
|
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 (external) | Statement: [Fujifilm X-T30, videoBitDepthHDMI, 10-bit 4:2:2 (external)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: videoBitDepthHDMI Context triple: [Fujifilm X-T30, videoBitDepthHDMI, 10-bit 4:2:2 (external)]
-
A.
videoBitDepthInternal
Indicates the number of bits used internally to represent each color component of video data during processing or storage.
-
B.
hdmiVersion
Indicates the specific HDMI standard or version associated with a device, port, or connection.
-
C.
hasHDMIPort
Indicates that one entity (typically a device) is equipped with an HDMI port that can be used to connect to another entity.
-
D.
videoInternal10bit
Indicates that the video is encoded internally using a 10-bit color depth.
-
E.
colorDepth
Indicates the bit-depth used to represent the color information of an image or display, defining how many distinct colors can be shown.
- F. None of above. chosen
Provenance (4 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_69f224c73ca48190a1e46cb58ad4045b |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f719cc31ec819099bebcf833b14d76 |
completed | May 3, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69f71820c6c88190ab38b4fa626d22cc |
completed | May 3, 2026, 9:40 a.m. |
| PDg | Predicate description generation | batch_69f71995853c8190912025c0e83640c8 |
completed | May 3, 2026, 9:47 a.m. |
Created at: April 29, 2026, 8:57 p.m.