Triple
T22026998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CIE standard illuminant D50 |
E543993
|
entity |
| Predicate | correlatedColorTemperature |
P23085
|
FINISHED |
| Object | 5000 K |
—
|
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: 5000 K | Statement: [CIE standard illuminant D50, correlatedColorTemperature, 5000 K]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: correlatedColorTemperature Context triple: [CIE standard illuminant D50, correlatedColorTemperature, 5000 K]
-
A.
whitePointCCT
chosen
Indicates the correlated color temperature value that defines the white point reference for a color space or imaging system.
-
B.
whitePoint
Indicates the reference color point or standard white used as a basis for color measurements or calibration in a color space.
-
C.
lightingCharacteristic
Indicates the specific qualities or properties of how something is lit, such as brightness, color, direction, or style of illumination.
-
D.
hasRelatedIlluminant
Indicates that one entity is associated with another entity that serves as a corresponding or contextually relevant illuminant (light source) for it.
-
E.
lightingColor
Indicates the color or hue of the lighting applied to or associated with an entity.
- 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_69e11e2e8ea4819084210fe06d3a1b8d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127ccc2ec8190a94d69530d00c06c |
completed | April 28, 2026, 9:34 p.m. |
| PD | Predicate disambiguation | batch_69e6f63b0d048190b241622759aab9de |
completed | April 21, 2026, 3:59 a.m. |
Created at: April 16, 2026, 8:24 p.m.