Triple
T1096546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | sRGB |
E24283
|
entity |
| Predicate | chromaticityCoordinatesStandard |
P23088
|
FINISHED |
| Object | CIE 1931 xy |
—
|
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: CIE 1931 xy | Statement: [sRGB, chromaticityCoordinatesStandard, CIE 1931 xy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chromaticityCoordinatesStandard Context triple: [sRGB, chromaticityCoordinatesStandard, CIE 1931 xy]
-
A.
colorEncoding
Indicates how the color information of an entity is represented, formatted, or encoded.
-
B.
colorEncodingMethod
Indicates the method or scheme used to represent or encode color information.
-
C.
hasRouteColorStandard
Indicates that a route is associated with a standardized color designation used for identification or classification.
-
D.
colors
Indicates that one entity assigns, describes, or provides the color or colors of another entity.
-
E.
hasStandardizedDimensions
Indicates that an entity conforms to a predefined, uniform set of measurements or size specifications.
- 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_69a4940542308190ac2a0b1f730b7cfc |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b99ffb3481908cd168b6c58e1c6d |
completed | March 1, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69a4b7448c148190a3c9a4158ebd05b4 |
completed | March 1, 2026, 10:01 p.m. |
| PDg | Predicate description generation | batch_69a4b7da38888190a118ef20ce4ae9aa |
completed | March 1, 2026, 10:04 p.m. |
Created at: March 1, 2026, 7:42 p.m.