Triple
T28572344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of the President of Senegal |
E723146
|
entity |
| Predicate | usesColorsOf |
P157743
|
FINISHED |
| Object | Flag of Senegal |
—
|
NE NERFINISHED |
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: Flag of Senegal | Statement: [Flag of the President of Senegal, usesColorsOf, Flag of Senegal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesColorsOf Context triple: [Flag of the President of Senegal, usesColorsOf, Flag of Senegal]
-
A.
colorUse
chosen
Indicates that one entity uses, applies, or is associated with a particular color in its appearance, design, or representation.
-
B.
colors
Indicates that one entity assigns, describes, or provides the color or colors of another entity.
-
C.
avoidsColorsOf
Indicates that one entity deliberately refrains from using, displaying, or interacting with the colors associated with another entity.
-
D.
containsColor
Indicates that one entity includes or exhibits the color specified by another entity.
-
E.
usesBrandColor
Indicates that one entity applies or displays another entity’s official brand color in its appearance, design, or materials.
- 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_69f01d7e97708190ae9e77ee66a68abd |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f71f8ee0688190bd025f27993452d3 |
completed | May 3, 2026, 10:12 a.m. |
| PD | Predicate disambiguation | batch_69f71cc405c08190863565609a4c8499 |
completed | May 3, 2026, 10 a.m. |
Created at: April 28, 2026, 4:10 a.m.