Triple
T37080358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Makepekepe |
E918127
|
entity |
| Predicate | associatedClubSuccess |
—
|
GENERATED |
| Object | one of Zimbabwe’s most successful football clubs |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedClubSuccess Context triple: [Makepekepe, associatedClubSuccess, one of Zimbabwe’s most successful football clubs]
-
A.
associatedClub2
Indicates that an entity has a secondary or additional affiliation or membership with a particular club.
-
B.
associatedWithClubSuccess
chosen
Indicates that an entity has a meaningful connection or contribution to the success or achievements of a club.
-
C.
associatedClub1
Indicates that an entity has a primary or first-listed association with a particular club or organization.
-
D.
associatedClubStatus
Indicates the status or condition of a club as it relates to a particular entity or relationship.
-
E.
associatedClubState
Indicates that there is a relationship between an entity and the state-level club or organization with which it is formally connected or affiliated.
- F. None of above.
Provenance (1 batch)
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_69f76e9952b88190a6fe01ba01476520 |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:14 p.m.