Triple
T34259117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanford Pentagon |
E878975
|
entity |
| Predicate | hasPracticeCourts |
—
|
GENERATED |
| Object | yes |
—
|
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: hasPracticeCourts Context triple: [Sanford Pentagon, hasPracticeCourts, yes]
-
A.
hasCourtPractice
Indicates that an entity engages in or is associated with a particular court-related legal practice or activity.
-
B.
hasCourts
Indicates that an entity possesses, contains, or is equipped with one or more courts (e.g., legal, sports, or judicial facilities).
-
C.
hasMainCourts
Indicates that an entity possesses or is associated with one or more primary courts used for official or main activities.
-
D.
hasIndoorCourts
chosen
Indicates that one entity provides or contains courts or playing areas that are located indoors.
-
E.
numberOfCourts
Indicates the quantity of courts associated with or present at a given entity or location.
- 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_69f349b421cc8190b4b4655e1d612548 |
completed | April 30, 2026, 12:23 p.m. |
Created at: May 1, 2026, 1:56 a.m.