Triple
T22086421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Evans County, Georgia |
E545788
|
entity |
| Predicate | hasCountySeat |
P383
|
FINISHED |
| Object | Claxton, Georgia |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Claxton, Georgia | Statement: [Evans County, Georgia, hasCountySeat, Claxton, Georgia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Claxton, Georgia Context triple: [Evans County, Georgia, hasCountySeat, Claxton, Georgia]
-
A.
Claxton, Georgia
chosen
Claxton, Georgia is a small city in Evans County known as the "Fruitcake Capital of the World" for its prominent fruitcake industry.
-
B.
Clayton, Georgia
Clayton, Georgia is a small mountain city in northeastern Georgia known as a gateway to the scenic Blue Ridge Mountains and nearby outdoor recreation areas.
-
C.
Clermont, Georgia
Clermont, Georgia is a small town in northeastern Georgia known for its rural character and location within the Gainesville metropolitan area.
-
D.
Colquitt, Georgia
Colquitt, Georgia is a small city in southwest Georgia known as the cultural and economic hub of Miller County.
-
E.
Clarkston, Georgia
Clarkston, Georgia is a small, diverse city in the Atlanta metropolitan area known for its large refugee and immigrant population.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
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_69e11e3523488190badd54b5d580c00d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128e2e3108190883199f272756e4e |
completed | April 28, 2026, 9:38 p.m. |
Created at: April 16, 2026, 8:29 p.m.