Triple
T32996133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waldyr Pereira |
E844234
|
entity |
| Predicate | numberOfGoalsForBrazil |
—
|
GENERATED |
| Object | 20 |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfGoalsForBrazil Context triple: [Waldyr Pereira, numberOfGoalsForBrazil, 20]
-
A.
goalsByBrazil
Indicates the number of goals that Brazil scored in a given match or context.
-
B.
BrazilWorldCupTitlesBeforeMatch
Indicates the number of FIFA World Cup titles Brazil had already won prior to the referenced match.
-
C.
BrazilCameFromBehind
Indicates that Brazil was initially trailing in a contest or match but later overcame the deficit to take the lead or win.
-
D.
penaltyGoalScorerForBrazil
Indicates that the subject is the player who scored a goal from a penalty kick for the Brazil national team.
-
E.
BrazilGoalsByNeymar
Indicates the number of goals scored by Neymar for the Brazil national football team.
- F. None of above. chosen
Provenance (1 batch)
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_69f3494d99988190b502c68926af2c4d |
completed | April 30, 2026, 12:21 p.m. |
Created at: May 1, 2026, 1:22 a.m.