Triple
T37480244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rec. 709 |
E931392
|
entity |
| Predicate | relationshipToSRGB |
P205923
|
FINISHED |
| Object | shares same chromaticities and white point as sRGB |
—
|
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: shares same chromaticities and white point as sRGB | Statement: [Rec. 709, relationshipToSRGB, shares same chromaticities and white point as sRGB]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToSRGB Context triple: [Rec. 709, relationshipToSRGB, shares same chromaticities and white point as sRGB]
-
A.
differsFromSRGBIn
Indicates that one color space or color representation is different from the standard sRGB color space in a specified aspect or context.
-
B.
colorGamutRelative
Indicates that one color gamut is defined, measured, or evaluated in relation to another reference gamut rather than in absolute terms.
-
C.
relativeLuminance
Indicates the measured brightness of one entity relative to a reference or to other entities in the same context.
-
D.
relationshipToHex
Indicates a relationship in which one entity is connected or related to another through a hexadecimal representation or mapping.
-
E.
usesColorMatchingFunctions
Indicates that one entity applies color matching functions to relate or convert color stimuli between different color spaces or representations.
- 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_69f76ec382248190b47844df596123c6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a13a1308190a202df66f4781855 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c842b2c819082f1d2db995ac2eb |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:17 p.m.