Triple
T21531898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uruguay vs Brazil (1950 FIFA World Cup) |
E531249
|
entity |
| Predicate | UruguayCaptain |
P114401
|
FINISHED |
| Object | Obdulio Varela |
—
|
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: Obdulio Varela | Statement: [Uruguay vs Brazil (1950 FIFA World Cup), UruguayCaptain, Obdulio Varela]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: UruguayCaptain Context triple: [Uruguay vs Brazil (1950 FIFA World Cup), UruguayCaptain, Obdulio Varela]
-
A.
copaAmerica2015Host
Indicates that the subject is the country or entity that hosted the 2015 Copa América tournament.
-
B.
opponentInBattleOfTheRiverPlate
Indicates that two entities were opposing sides facing each other in the Battle of the River Plate.
-
C.
homeTeamCaptain
Indicates that one entity serves as the captain of the home team in a given game or match in relation to the other entity.
-
D.
captainOfRunnerUpTeam
Indicates the person who serves as the captain of the team that finished in second place in a competition or tournament.
-
E.
captainedRepresentativeTeam
chosen
Indicates that an entity has served as the captain of a representative (e.g., national or regional) team.
- 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_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. |
Created at: April 16, 2026, 6:27 p.m.