Triple
T22691518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ecuador national football team |
E561061
|
entity |
| Predicate | CopaAmericaAppearances |
P63962
|
FINISHED |
| Object | multiple |
—
|
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: multiple | Statement: [Ecuador national football team, CopaAmericaAppearances, multiple]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: CopaAmericaAppearances Context triple: [Ecuador national football team, CopaAmericaAppearances, multiple]
-
A.
ConfederationsCupAppearances
Indicates the number of times an entity has participated in the FIFA Confederations Cup tournament.
-
B.
playedInCopaAmerica
chosen
Indicates that an entity (typically a player or team) participated in at least one edition of the Copa América football tournament.
-
C.
WorldCupAppearances
Indicates the number of times an entity has participated in FIFA World Cup final tournaments.
-
D.
worldCupAppearancesCount
Indicates the number of times an entity has participated in the FIFA World Cup tournament.
-
E.
worldCupAppearances
Indicates the number of times an entity has participated in a FIFA World Cup 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_69e2454d71b48190a1f80af9f82b6fcf |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1789adcc48190b4a717166d5dba19 |
completed | April 29, 2026, 3:18 a.m. |
| PD | Predicate disambiguation | batch_69ee62b2259c819091ed1387a748b9f3 |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:13 p.m.