Triple
T29887916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Copa América 1987 |
E759066
|
entity |
| Predicate | countryOfTournamentWinner |
P18319
|
FINISHED |
| Object | Uruguay |
—
|
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: Uruguay | Statement: [Copa América 1987, countryOfTournamentWinner, Uruguay]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfTournamentWinner Context triple: [Copa América 1987, countryOfTournamentWinner, Uruguay]
-
A.
countryOfTournament
Indicates the country in which a given tournament is held or officially hosted.
-
B.
nationalityOfWinner
Indicates the country or nationality associated with the winner of a given event or competition.
-
C.
winnerCountry
chosen
Indicates the country that achieved first place or victory in a given competition, event, or contest.
-
D.
pennantWinnerHomeCountry
Indicates the country that is considered the home nation of the team that won a particular pennant.
-
E.
hasCountryRepresentedByWinners
Indicates that a given country is represented by one or more winners in a particular context, such as a competition or award.
- 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_69f2245de2f48190a481404896b56254 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69ff3e1762d8819089a60e402e682817 |
completed | May 9, 2026, 2 p.m. |
| PD | Predicate disambiguation | batch_69ff3d8c6f308190a0646b1432752eb8 |
completed | May 9, 2026, 1:58 p.m. |
Created at: April 29, 2026, 6:01 p.m.