Triple
T21531902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uruguay vs Brazil (1950 FIFA World Cup) |
E531249
|
entity |
| Predicate | BrazilNeededResult |
P144739
|
FINISHED |
| Object | draw to win World Cup |
—
|
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: draw to win World Cup | Statement: [Uruguay vs Brazil (1950 FIFA World Cup), BrazilNeededResult, draw to win World Cup]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: BrazilNeededResult Context triple: [Uruguay vs Brazil (1950 FIFA World Cup), BrazilNeededResult, draw to win World Cup]
-
A.
roleInBrazil
Indicates that an entity holds or held a specific role, position, or function within the context of Brazil.
-
B.
countryNamePortuguese
Indicates the Portuguese-language name assigned to a given country.
-
C.
directionFromBrazil
Indicates the relative compass direction of an entity or location as measured outward from Brazil.
-
D.
nameInBrazil
Indicates that an entity is known or referred to by a particular name specifically in the context of Brazil.
-
E.
releaseDateBrazil
Indicates the date on which something (typically a product, work, or event) is officially released or made available in Brazil.
- 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_69e0c45e5b8881908ac18fc2f493b114 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee9d0a0e7c8190bbb7ed5c4dfe33af |
completed | April 26, 2026, 11:17 p.m. |
| PD | Predicate disambiguation | batch_69e6320043bc81909417c41a718652ba |
completed | April 20, 2026, 2:02 p.m. |
| PDg | Predicate description generation | batch_69e6386c5a4481909c37f7de7e9fc025 |
completed | April 20, 2026, 2:30 p.m. |
Created at: April 16, 2026, 6:27 p.m.