Triple
T37480234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rec. 709 |
E931392
|
entity |
| Predicate | colorEncodingFormats |
P89847
|
FINISHED |
| Object | YCbCr |
—
|
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: YCbCr | Statement: [Rec. 709, colorEncodingFormats, YCbCr]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colorEncodingFormats Context triple: [Rec. 709, colorEncodingFormats, YCbCr]
-
A.
colorEncoding
Indicates how the color information of an entity is represented, formatted, or encoded.
-
B.
colorEncodingMethod
Indicates the method or scheme used to represent or encode color information.
-
C.
imageEncoding
Indicates that one entity is a digital representation or encoding of the visual content of another entity (such as an image or scene).
-
D.
videoFormats
Indicates the set of video file formats or encodings that are supported by, associated with, or available for a given entity.
-
E.
hasColorFormat
chosen
Indicates that an entity uses or is associated with a specific color representation or encoding format.
- 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_69f76ec382248190b47844df596123c6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcec5f8b448190b48330a19b462d24 |
completed | May 7, 2026, 7:47 p.m. |
| PD | Predicate disambiguation | batch_69fceaf1e23881908ca24160a638e329 |
completed | May 7, 2026, 7:41 p.m. |
Created at: May 3, 2026, 4:17 p.m.