Triple
T32827711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brazil vs Croatia 2014 FIFA World Cup group match |
E839596
|
entity |
| Predicate | BrazilGoalsByOscar |
P175845
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Brazil vs Croatia 2014 FIFA World Cup group match, BrazilGoalsByOscar, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: BrazilGoalsByOscar Context triple: [Brazil vs Croatia 2014 FIFA World Cup group match, BrazilGoalsByOscar, 1]
-
A.
goalsByBrazil
Indicates the number of goals that Brazil scored in a given match or context.
-
B.
ballonDorScope
Indicates the scope or context within which a Ballon d'Or-related action, status, or eligibility applies.
-
C.
FIFAWorldCupGoldenBallYear
Indicates the year in which a given FIFA World Cup Golden Ball award was received.
-
D.
BrazilGoalsByNeymar
Indicates the number of goals scored by Neymar for the Brazil national football team.
-
E.
SouthAmericanFootballerOfTheYear
Indicates that a person has been recognized as the South American Footballer of the Year, typically awarded to the best-performing football player in South America for a given year.
- 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_69f3493f22f88190ae6dd4bc15b6cf8d |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d74b20a48190900dda1014cc13a8 |
completed | May 3, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69f6d26f27dc8190ae426a3e1573933e |
completed | May 3, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69f6d749e7f081909c8196898c4191ad |
completed | May 3, 2026, 5:04 a.m. |
Created at: May 1, 2026, 1:16 a.m.