Triple
T8376300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of Ukraine |
E197583
|
entity |
| Predicate | RGBYellowApproximation |
P35452
|
FINISHED |
| Object | (255, 215, 0) |
—
|
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: (255, 215, 0) | Statement: [Flag of Ukraine, RGBYellowApproximation, (255, 215, 0)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: RGBYellowApproximation Context triple: [Flag of Ukraine, RGBYellowApproximation, (255, 215, 0)]
-
A.
yellowRepresents
Indicates that the color yellow is used to symbolize, denote, or stand for a particular entity, concept, or state in a given context.
-
B.
hasRGB
chosen
Indicates that an entity possesses or is associated with a specific RGB (red, green, blue) color value.
-
C.
colors
Indicates that one entity assigns, describes, or provides the color or colors of another entity.
-
D.
yellowStripeProportion
Indicates the proportion of an object’s surface or area that is covered by yellow stripes.
-
E.
hasColorDominanceInCostume
Indicates that a particular color is the most prominent or visually dominant element in an entity’s costume.
- 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_69ca82f64c188190af4e1608036b865d |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb80bf6b8081909b98762b1f900bef |
completed | March 31, 2026, 8:07 a.m. |
| PD | Predicate disambiguation | batch_69cb70cd04b08190ab5f72afd22a7967 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 6:01 p.m.