Triple
T21343593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hall County, Georgia |
E526266
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Oakwood, 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: Oakwood, Georgia | Statement: [Hall County, Georgia, hasMunicipality, Oakwood, Georgia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oakwood, Georgia Context triple: [Hall County, Georgia, hasMunicipality, Oakwood, Georgia]
-
A.
Oakwood, Georgia
chosen
Oakwood, Georgia is a small city in Hall County that forms part of the Gainesville metropolitan area in the northern region of the state.
-
B.
Fair Oaks, Georgia
Fair Oaks, Georgia is a small unincorporated community and census-designated place in the Atlanta metropolitan area.
-
C.
White Oak, Georgia
White Oak, Georgia is a small unincorporated community in Camden County best known as the birthplace of American author Erskine Caldwell.
-
D.
Woodland, Georgia
Woodland, Georgia is a small city in west-central Georgia known for its rural character and location within Talbot County.
-
E.
Woodville, Georgia
Woodville, Georgia is a small historic town in Greene County known for its rural character and ties to Georgia’s early settlement history.
- 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_69e0b51c33048190ab27cede74ef798c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8a8515bc48190b79f80e505550cd5 |
completed | April 22, 2026, 10:52 a.m. |
Created at: April 16, 2026, 4:44 p.m.