Triple
T36317347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grahamville, South Carolina |
E894233
|
entity |
| Predicate | typicalCountySeat |
—
|
GENERATED |
| Object | Ridgeland, South Carolina |
—
|
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: typicalCountySeat Context triple: [Grahamville, South Carolina, typicalCountySeat, Ridgeland, South Carolina]
-
A.
hasCountySeatOf
Indicates that a place serves as the administrative county seat (capital) of a specified county.
-
B.
containsCountySeat
Indicates that one administrative region or area includes within its boundaries the designated county seat location of a county.
-
C.
nearestCountySeat
Indicates that one location is the closest county seat geographically to another location.
-
D.
hasCountySeatCounty
Indicates that a county seat is administratively associated with and serves as the seat of government for a specific county.
-
E.
countySeat
chosen
Indicates that one place serves as the administrative center or capital of a county.
- 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_69f76e4d1a788190a6ab6ccca28547a7 |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:09 p.m.