Triple
T12054597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peru national football team |
E287006
|
entity |
| Predicate | copaAmericaWinningYear |
P40866
|
FINISHED |
| Object | 1939 |
—
|
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: 1939 | Statement: [Peru national football team, copaAmericaWinningYear, 1939]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: copaAmericaWinningYear Context triple: [Peru national football team, copaAmericaWinningYear, 1939]
-
A.
copaAmericaTitleYear
chosen
Indicates the specific year in which a given Copa América title was won.
-
B.
wonCopaInteramericana
Indicates that one entity (typically a football club) has won the Copa Interamericana competition.
-
C.
ConfederationsCupYear
Indicates the specific year in which a given FIFA Confederations Cup tournament took place.
-
D.
playedInCopaAmerica
Indicates that an entity (typically a player or team) participated in at least one edition of the Copa América football tournament.
-
E.
ameriCupTitles
Indicates the number of American Cup titles that an entity has won.
- 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_69d6ab4780948190bdb9f7620c2ac27e |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9100b4ca8819084845ca4c13e34ce |
completed | April 10, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69d902bda47c8190b94860b31df4a98c |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:47 p.m.