Triple
T33299670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States District Court for the District of Minnesota |
E852543
|
entity |
| Predicate | numberOfJudgesAssigned |
—
|
GENERATED |
| Object | 7 |
—
|
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: numberOfJudgesAssigned Context triple: [United States District Court for the District of Minnesota, numberOfJudgesAssigned, 7]
-
A.
numberOfJudges
chosen
Indicates the total count of judges associated with a particular case, event, or entity.
-
B.
numberOfActiveJudgesAuthorized
Indicates the total count of judges who are officially permitted and currently authorized to serve in an active judicial capacity.
-
C.
hasJudges
Indicates that one entity serves as a judge or panel of judges for another entity, such as an event, competition, or legal case.
-
D.
numberOfCircuitJudgesCreated
Indicates the total count of circuit judge positions that have been established or created.
-
E.
numberOfPermanentJudges
Indicates the total count of judges who hold permanent (non-temporary) positions within a given judicial body or court.
- 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_69f34966ed4c81908dc9dda82d8c7fe3 |
completed | April 30, 2026, 12:21 p.m. |
Created at: May 1, 2026, 1:33 a.m.