Triple
T26390231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Bull multi-club system |
E663390
|
entity |
| Predicate | hasSouthAmericanClub |
P167285
|
FINISHED |
| Object | Red Bull Bragantino |
—
|
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: Red Bull Bragantino | Statement: [Red Bull multi-club system, hasSouthAmericanClub, Red Bull Bragantino]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSouthAmericanClub Context triple: [Red Bull multi-club system, hasSouthAmericanClub, Red Bull Bragantino]
-
A.
qualifiedTeamAsConmebolChampion
Indicates that a team secured qualification to a competition specifically by winning the CONMEBOL championship.
-
B.
hasClubInCountry
Indicates that a club is located in, based in, or operates within a specified country.
-
C.
eligibleClubs
Indicates that certain clubs meet the required criteria or conditions to qualify for a specified status, activity, or benefit.
-
D.
numberOfQualifiedTeamsFromSouthAmerica
Indicates the count of teams from South America that meet the specified qualification criteria.
-
E.
isOneOfWorldsNorthernmostEliteClubs
Indicates that the club is among the most elite clubs located in the northernmost regions of the world.
- F. None of above. chosen
Provenance (4 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_69ee88374adc81909868f3bab374a32f |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f66a6468ec8190a43ed6cd8c797f42 |
completed | May 2, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69f66598d6008190a7ca8ff80399fd34 |
completed | May 2, 2026, 8:59 p.m. |
| PDg | Predicate description generation | batch_69f6691da93081909deaf680614fc900 |
completed | May 2, 2026, 9:14 p.m. |
Created at: April 26, 2026, 11:25 p.m.