Triple
T5767929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CIE standard illuminant D65 |
E127258
|
entity |
| Predicate | hasRelativeTristimulusY |
P55247
|
FINISHED |
| Object | 1.00000 |
—
|
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: 1.00000 | Statement: [CIE standard illuminant D65, hasRelativeTristimulusY, 1.00000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRelativeTristimulusY Context triple: [CIE standard illuminant D65, hasRelativeTristimulusY, 1.00000]
-
A.
relativeLuminance
chosen
Indicates the measured brightness of one entity relative to a reference or to other entities in the same context.
-
B.
hasRGB
Indicates that an entity possesses or is associated with a specific RGB (red, green, blue) color value.
-
C.
colorGamutRelative
Indicates that one color gamut is defined, measured, or evaluated in relation to another reference gamut rather than in absolute terms.
-
D.
greenPrimary_y
Indicates that the referenced entity serves as the primary or dominant green component in a color representation or relationship.
-
E.
hasComplementaryColor
Indicates that one color is the complementary (i.e., opposite on the color wheel, providing maximum contrast) counterpart of another color.
- 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_69c00834f6308190851b0abeddd8ed7e |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02acb12c081908e4beee4a957f9f9 |
completed | March 22, 2026, 5:45 p.m. |
| PD | Predicate disambiguation | batch_69c021ce8d3c81909b332cb1c33a61ad |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:49 p.m.