Triple
T17722853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Club Olimpia |
E442384
|
entity |
| Predicate | wonCopaIntercontinental |
P128729
|
FINISHED |
| Object | 1979 |
—
|
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: 1979 | Statement: [Club Olimpia, wonCopaIntercontinental, 1979]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wonCopaIntercontinental Context triple: [Club Olimpia, wonCopaIntercontinental, 1979]
-
A.
wonCopaInteramericana
Indicates that one entity (typically a football club) has won the Copa Interamericana competition.
-
B.
IntercontinentalCupTitles
Indicates the number of Intercontinental Cup championships an entity (typically a sports team or club) has won.
-
C.
FIFAClubWorldTitles
Indicates the number of FIFA Club World Cup titles a club has won.
-
D.
wonCopaDelRey
Indicates that one entity achieved victory in the Copa del Rey competition over another entity or in a specific edition of the tournament.
-
E.
FIFAConfederationsCupTitleYear
Indicates the specific year in which an entity won a FIFA Confederations Cup title.
- 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_69d8b9ec79688190b86bdcef85a7b3aa |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47487b4988190b14237a4e6376e9a |
completed | April 19, 2026, 6:21 a.m. |
| PD | Predicate disambiguation | batch_69e3cde601d4819097903f471f1fe99a |
completed | April 18, 2026, 6:31 p.m. |
| PDg | Predicate description generation | batch_69e3d018227c8190b6624a2199e765e8 |
completed | April 18, 2026, 6:40 p.m. |
Created at: April 10, 2026, 10:07 a.m.