Triple
T29887896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rubén Sosa |
E759065
|
entity |
| Predicate | UEFACupWinner |
P168211
|
FINISHED |
| Object | 1993-1994 UEFA Cup |
—
|
NE NERFINISHED |
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: 1993-1994 UEFA Cup | Statement: [Rubén Sosa, UEFACupWinner, 1993-1994 UEFA Cup]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: UEFACupWinner Context triple: [Rubén Sosa, UEFACupWinner, 1993-1994 UEFA Cup]
-
A.
UEFACupWinnersCupTitleSeason
Indicates the specific football season in which a team won the UEFA Cup Winners' Cup title.
-
B.
UEFASuperCupTitles
Indicates the number of UEFA Super Cup titles an entity has won.
-
C.
UEFASuperCupTitle
Indicates that an entity has won the UEFA Super Cup title in a given year or season.
-
D.
EuropeanCupWinnerWith
Indicates that one entity is the winner of a European Cup (or similar continental competition) in association with, or while being part of, the other entity.
-
E.
UEFACupRunnersUp
Indicates that an entity finished as the runner-up (losing finalist) in a UEFA Cup competition.
- 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_69f2245de2f48190a481404896b56254 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f676fe75988190ae1bffb155a3c4e1 |
completed | May 2, 2026, 10:13 p.m. |
| PD | Predicate disambiguation | batch_69f66ec8298c8190b41fe9d182c05676 |
completed | May 2, 2026, 9:38 p.m. |
| PDg | Predicate description generation | batch_69f67256d064819094be04fc1bbbc635 |
completed | May 2, 2026, 9:53 p.m. |
Created at: April 29, 2026, 6:01 p.m.