Triple
T12054601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peru national football team |
E287006
|
entity |
| Predicate | copaAmericaThirdPlaceYear |
P102975
|
FINISHED |
| Object | 1927 |
—
|
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: 1927 | Statement: [Peru national football team, copaAmericaThirdPlaceYear, 1927]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: copaAmericaThirdPlaceYear Context triple: [Peru national football team, copaAmericaThirdPlaceYear, 1927]
-
A.
copaAmericaThirdPlace
Indicates that an entity finished in third place in the Copa América tournament.
-
B.
WorldCupThirdPlaceYear
Indicates the year in which a team achieved third place in a FIFA World Cup tournament.
-
C.
fifaWorldCupThirdPlaceYear
Indicates the year in which a given team or entity achieved third place in a FIFA World Cup tournament.
-
D.
worldCupThirdPlace
Indicates that an entity finished in third place in a FIFA World Cup tournament.
-
E.
fifaWorldCupThirdPlace
Indicates that an entity finished in third place in a specific edition of the FIFA World Cup.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69d91006e14081909838412df082f794 |
completed | April 10, 2026, 2:58 p.m. |
Created at: April 8, 2026, 9:47 p.m.