Triple
T9547036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dawson County |
E230317
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Dawsonville |
E219916
|
NE FINISHED |
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: Dawsonville | Statement: [Dawson County, containsCity, Dawsonville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dawsonville Context triple: [Dawson County, containsCity, Dawsonville]
-
A.
Dawsonville
chosen
Dawsonville is a small city in north Georgia known for its gold rush history and strong ties to stock car racing and NASCAR culture.
-
B.
Ellijay
Ellijay is a small mountain town in northern Georgia known for its apple orchards, outdoor recreation, and historic role in the region’s gold-mining era.
-
C.
Loganville
Loganville is a suburban city in the Atlanta metropolitan area known for its residential communities and small-town character.
-
D.
Milledgeville, Georgia
Milledgeville, Georgia is a historic city in central Georgia that served as the state’s capital during much of the 19th century and is known for its antebellum architecture and Southern heritage.
-
E.
Marietta
Marietta is a feminine given name, often considered a diminutive or variant of names like Maria or Marita, used in various European and English-speaking cultures.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca847c70b8819088a0a0bad64a50d6 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9902fca081909125660ae6336d3f |
completed | April 1, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1613b16dc8190b00a45596ccd7fbc |
completed | April 4, 2026, 7:06 p.m. |
Created at: March 30, 2026, 8:02 p.m.