Triple
T29977654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1990 FIFA World Cup qualification |
E761494
|
entity |
| Predicate | CONMEBOLSpots |
P14679
|
FINISHED |
| Object | 3.5 |
—
|
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: 3.5 | Statement: [1990 FIFA World Cup qualification, CONMEBOLSpots, 3.5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: CONMEBOLSpots Context triple: [1990 FIFA World Cup qualification, CONMEBOLSpots, 3.5]
-
A.
CONMEBOLUEFACupOfChampionsTitles
Indicates the number of CONMEBOL–UEFA Cup of Champions titles an entity has won.
-
B.
CONMEBOLUEFACupOfChampionsTitleYear
Indicates the specific year in which an entity won the CONMEBOL–UEFA Cup of Champions title.
-
C.
qualifiedTeamAsConmebolChampion
Indicates that a team secured qualification to a competition specifically by winning the CONMEBOL championship.
-
D.
hasSouthAmericanClub
Indicates that an entity is associated with, or has membership in, a football/sports club based in South America.
-
E.
numberOfQualifiedTeamsFromSouthAmerica
chosen
Indicates the count of teams from South America that meet the specified qualification criteria.
- 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_69f22467626081908d5afea489590e96 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f678d69dc88190b0c31a769272f6d6 |
completed | May 2, 2026, 10:21 p.m. |
| PD | Predicate disambiguation | batch_69f66ec9919881908a187bfc7c4df192 |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 29, 2026, 6:34 p.m.