Triple
T34701311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samuel Kuffour |
E1000375
|
entity |
| Predicate | FIFAClubWorldCupPredecessorTitleWith |
P181704
|
FINISHED |
| Object | Bayern Munich |
—
|
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: Bayern Munich | Statement: [Samuel Kuffour, FIFAClubWorldCupPredecessorTitleWith, Bayern Munich]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: FIFAClubWorldCupPredecessorTitleWith Context triple: [Samuel Kuffour, FIFAClubWorldCupPredecessorTitleWith, Bayern Munich]
-
A.
FIFAClubWorldTitles
Indicates the number of FIFA Club World Cup titles a club has won.
-
B.
FIFAConfederationsCupTitleYear
Indicates the specific year in which an entity won a FIFA Confederations Cup title.
-
C.
worldCupTitle
Indicates that an entity has won a FIFA World Cup championship title.
-
D.
worldClubChallengeTitles
Indicates the number of World Club Challenge titles an entity has won.
-
E.
worldCupTitleYear
Indicates the specific year in which an entity won or held a FIFA World 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_69f76dab937881909c86f1b9ad50445f |
completed | May 3, 2026, 3:45 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. |
| PDg | Predicate description generation | batch_69f7805c25dc8190b9977c561ba15975 |
completed | May 3, 2026, 5:05 p.m. |
Created at: May 3, 2026, 3:59 p.m.