Triple
T29478184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1920 South American Championship |
E747707
|
entity |
| Predicate | championTitleCountForUruguay |
P169314
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [1920 South American Championship, championTitleCountForUruguay, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: championTitleCountForUruguay Context triple: [1920 South American Championship, championTitleCountForUruguay, 2]
-
A.
goalsByUruguay
Indicates the number of goals that were scored by Uruguay in a given match or context.
-
B.
copaOuroTitles
Indicates the number of Copa Ouro titles an entity has won.
-
C.
CONMEBOLUEFACupOfChampionsTitles
Indicates the number of CONMEBOL–UEFA Cup of Champions titles an entity has won.
-
D.
CopaLibertadoresTitle
Indicates that an entity has won the Copa Libertadores football (soccer) championship title.
-
E.
southAmericanU17ChampionshipTitles
Indicates the number of South American Under-17 Championship titles that an entity (typically a national team) has won.
- 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_69f0bd42cf308190bb01b20bc5b7c2d0 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f67de7792c81909b5e4e812d143624 |
completed | May 2, 2026, 10:42 p.m. |
| PD | Predicate disambiguation | batch_69f678ce54b081908c26edfd49e39c60 |
completed | May 2, 2026, 10:21 p.m. |
| PDg | Predicate description generation | batch_69f67d31cc60819084f64bd056e1ea4d |
completed | May 2, 2026, 10:39 p.m. |
Created at: April 28, 2026, 4:01 p.m.