Triple
T8376298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of Ukraine |
E197583
|
entity |
| Predicate | pantoneYellowApproximation |
P35453
|
FINISHED |
| Object | Pantone 012 C |
—
|
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: Pantone 012 C | Statement: [Flag of Ukraine, pantoneYellowApproximation, Pantone 012 C]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pantoneYellowApproximation Context triple: [Flag of Ukraine, pantoneYellowApproximation, Pantone 012 C]
-
A.
hasPantone
chosen
Indicates that one entity is associated with, or assigned, a specific Pantone color code.
-
B.
yellowRepresents
Indicates that the color yellow is used to symbolize, denote, or stand for a particular entity, concept, or state in a given context.
-
C.
associatedColour
Indicates that one entity is linked to another as its characteristic or representative colour.
-
D.
capeColor
Indicates the color attribute associated with a cape worn or possessed by an entity.
-
E.
colors
Indicates that one entity assigns, describes, or provides the color or colors of another 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_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.