Triple
T33272491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nation of Islam mosques |
E851811
|
entity |
| Predicate | typicallyStaffedBy |
—
|
GENERATED |
| Object | Fruit of Islam |
—
|
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: typicallyStaffedBy Context triple: [Nation of Islam mosques, typicallyStaffedBy, Fruit of Islam]
-
A.
staffMember
Indicates that one entity serves as an employee or staff member of another entity, such as an organization or institution.
-
B.
hasLocalStaffFrom
Indicates that an organization or entity employs or is staffed by people originating from a specified local area or region.
-
C.
staffIncluded
Indicates that staff members are included or provided as part of the associated entity, service, or arrangement.
-
D.
hadStaffRole
Indicates that an entity served in a specific staff role or position for another entity during some period.
-
E.
usesStaffCategory
chosen
Indicates that an entity employs or applies a particular category or classification of staff in its operations or context.
- 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_69f349653da08190819876015a298fdb |
completed | April 30, 2026, 12:21 p.m. |
Created at: May 1, 2026, 1:32 a.m.