Triple
T1936428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liquid Retina XDR |
E41452
|
entity |
| Predicate | colorSpace |
P23097
|
FINISHED |
| Object | DCI-P3 |
—
|
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: DCI-P3 | Statement: [Liquid Retina XDR, colorSpace, DCI-P3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colorSpace Context triple: [Liquid Retina XDR, colorSpace, DCI-P3]
-
A.
colorEncoding
Indicates how the color information of an entity is represented, formatted, or encoded.
-
B.
defaultColorSpaceFor
chosen
Indicates that one entity serves as the standard or primary color space used for representing or processing colors in another entity.
-
C.
colorTheory
Indicates a relationship where principles or concepts about how colors interact, combine, or affect perception are applied or referenced between entities.
-
D.
colors
Indicates that one entity assigns, describes, or provides the color or colors of another entity.
-
E.
colorEncodingMethod
Indicates the method or scheme used to represent or encode color information.
- 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_69a88649b24c819080047f26b6db2ded |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb2c5f6e481909b2d95861e2098f9 |
completed | March 7, 2026, 5:08 a.m. |
| PD | Predicate disambiguation | batch_69abaff07cf88190b4883c5f17f90abd |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:35 p.m.