Triple
T22368055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uruguayan Clásico |
E552960
|
entity |
| Predicate | associatedColor_Nacional |
P65875
|
FINISHED |
| Object | blue, white and red |
—
|
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: blue, white and red | Statement: [Uruguayan Clásico, associatedColor_Nacional, blue, white and red]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedColor_Nacional Context triple: [Uruguayan Clásico, associatedColor_Nacional, blue, white and red]
-
A.
nationalColours
Indicates the relationship in which certain colours are officially designated as representing a nation, typically used on its flag, emblems, or other national symbols.
-
B.
nationalColorsRepresented
Indicates that the national colors of an entity are visibly included or symbolically expressed in another entity or context.
-
C.
officialColor
Indicates the color that is formally designated or recognized as the official one for an entity.
-
D.
nationalFlagColor
Indicates that a specific color appears on the national flag of a given country.
-
E.
associatedColour
chosen
Indicates that one entity is linked to another as its characteristic or representative colour.
- 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_69e11e4affcc8190ba7c27d29062558d |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1580229688190a6e5e02b484033f7 |
completed | April 29, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69e73011e6388190a05edf137f488441 |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:44 p.m.