Triple
T15537807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paraguay national football team |
E370394
|
entity |
| Predicate | CopaAméricaRunnersUp |
P102693
|
FINISHED |
| Object | 2011 Copa América |
—
|
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: 2011 Copa América | Statement: [Paraguay national football team, CopaAméricaRunnersUp, 2011 Copa América]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: CopaAméricaRunnersUp Context triple: [Paraguay national football team, CopaAméricaRunnersUp, 2011 Copa América]
-
A.
copaAmericaRunnerUp
chosen
Indicates that the subject finished as the second-place team (runner-up) in a specified edition of the Copa América tournament.
-
B.
copaAmericaRunnersUpYear
Indicates the year in which a team finished as runners-up in the Copa América tournament.
-
C.
WorldCupRunnerUp
Indicates that an entity finished in second place in a FIFA World Cup tournament, losing in the final match.
-
D.
worldCupRunnerUp
Indicates that an entity finished in second place in a FIFA World Cup tournament.
-
E.
copaAmericaThirdPlace
Indicates that an entity finished in third place in the Copa América tournament.
- 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e0442f3c688190a599165e526af2ed |
completed | April 16, 2026, 2:06 a.m. |
| PD | Predicate disambiguation | batch_69deda7a95c48190bbe29fadcf17191a |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:06 a.m.