Triple
T28193483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fernando Muslera |
E716376
|
entity |
| Predicate | hasWonWithClub |
P111762
|
FINISHED |
| Object | Süper Lig with Galatasaray S.K. |
—
|
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: Süper Lig with Galatasaray S.K. | Statement: [Fernando Muslera, hasWonWithClub, Süper Lig with Galatasaray S.K.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWonWithClub Context triple: [Fernando Muslera, hasWonWithClub, Süper Lig with Galatasaray S.K.]
-
A.
wonWithClub
Indicates that an entity achieved a victory or title while being a member of a specified club.
-
B.
hasPlayedWithClub
Indicates that an individual has been a member of and participated in activities or competitions for a particular club.
-
C.
cupTitleWonWithClub
Indicates that a specific cup title was won by a player while playing for a particular club.
-
D.
leagueTitleWonWithClub
chosen
Indicates that a person has won a league title while playing for or being associated with a specific club.
-
E.
hasManagedClub
Indicates that a person has held a managerial role for a particular club.
- 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_69efd6b612f48190a72012b520afbd10 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f7805ce6208190ac6dbd9c97989978 |
completed | May 3, 2026, 5:05 p.m. |
| PD | Predicate disambiguation | batch_69f77956ec648190ba4fb7e9d83fd107 |
completed | May 3, 2026, 4:35 p.m. |
Created at: April 27, 2026, 10:26 p.m.