Triple
T22197315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CIE standard illuminant D75 |
E548580
|
entity |
| Predicate | usedAsReferenceWhite |
P132328
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [CIE standard illuminant D75, usedAsReferenceWhite, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedAsReferenceWhite Context triple: [CIE standard illuminant D75, usedAsReferenceWhite, yes]
-
A.
guaranteeRepresentedByWhite
Indicates that a guarantee is visually or symbolically represented using the color white.
-
B.
isUsedAs
Indicates that one entity serves a particular function, role, or purpose as another entity.
-
C.
primaryWhiteVariety
Indicates that one entity is the primary white (light-skinned or white-colored) variety or form of another entity.
-
D.
usedAsStandard
chosen
Indicates that one entity serves as the reference or benchmark against which another entity is measured, compared, or evaluated.
-
E.
typicalWhiteStyleDescriptor
Indicates that something is described as having characteristics commonly associated with a stereotypical white cultural style or aesthetic.
- 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_69e11e3ecc7c8190b5f94cd8f42e9d37 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12ae7c72081909b7817d66391bef4 |
completed | April 28, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69e71b48576c8190a8e93738fd9cfda5 |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 8:35 p.m.