Triple
T29266623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fla–Flu derby |
E741992
|
entity |
| Predicate | hasPrimaryColorsForFluminense |
P192747
|
FINISHED |
| Object | green, white and maroon |
—
|
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: green, white and maroon | Statement: [Fla–Flu derby, hasPrimaryColorsForFluminense, green, white and maroon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimaryColorsForFluminense Context triple: [Fla–Flu derby, hasPrimaryColorsForFluminense, green, white and maroon]
-
A.
associatedColor_Peñarol
Indicates that a specified color is associated with the sports club Peñarol (e.g., as one of its official or representative colors).
-
B.
primaryClubColors
chosen
Indicates the main official colors associated with a club, typically used for its primary identity and uniforms.
-
C.
mainColorOfAnotherClub
Indicates that one club’s primary color is the same as, or serves as, the main identifying color for another club.
-
D.
inspiredByClubColorsOf
Indicates that something derives its design, appearance, or theme from the colors associated with a particular club.
-
E.
jerseyColorPrimary
Indicates the main or dominant color used on an entity’s jersey or uniform.
- 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_69f0912065c08190bddd23e20e8ef18e |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69ff5f5ecc808190b2df364da108ff4c |
completed | May 9, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69ff5b84131c8190bf81d7fb53e934bc |
completed | May 9, 2026, 4:06 p.m. |
Created at: April 28, 2026, 12:45 p.m.