Triple
T3296416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burke County, Georgia |
E69226
|
entity |
| Predicate | hasUnincorporatedCommunity |
P6345
|
FINISHED |
| Object |
Vidette, Georgia
Vidette, Georgia is a small unincorporated rural community located in Burke County in the eastern part of the state.
|
E347584
|
NE FINISHED |
How this triple was built (4 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: Vidette, Georgia | Statement: [Burke County, Georgia, hasUnincorporatedCommunity, Vidette, Georgia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vidette, Georgia Context triple: [Burke County, Georgia, hasUnincorporatedCommunity, Vidette, Georgia]
-
A.
De Soto, Georgia
De Soto, Georgia is a small rural city located in southwestern Georgia in the United States.
-
B.
Union Point, Georgia
Union Point, Georgia is a small historic city in Greene County known for its railroad heritage and preserved 19th-century architecture.
-
C.
Bogart, Georgia
Bogart, Georgia is a small town in northeastern Georgia located near the Athens metropolitan area.
-
D.
St. Marys, Georgia
St. Marys, Georgia is a historic coastal town in southeastern Georgia known as a gateway to Cumberland Island and the surrounding marshes and waterways.
-
E.
Valdosta, Georgia
Valdosta, Georgia is a small city in southern Georgia known as a regional hub for education, retail, and sports, particularly high school football.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Vidette, Georgia Triple: [Burke County, Georgia, hasUnincorporatedCommunity, Vidette, Georgia]
Generated description
Vidette, Georgia is a small unincorporated rural community located in Burke County in the eastern part of the state.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vidette, Georgia Target entity description: Vidette, Georgia is a small unincorporated rural community located in Burke County in the eastern part of the state.
-
A.
De Soto, Georgia
De Soto, Georgia is a small rural city located in southwestern Georgia in the United States.
-
B.
Union Point, Georgia
Union Point, Georgia is a small historic city in Greene County known for its railroad heritage and preserved 19th-century architecture.
-
C.
Bogart, Georgia
Bogart, Georgia is a small town in northeastern Georgia located near the Athens metropolitan area.
-
D.
St. Marys, Georgia
St. Marys, Georgia is a historic coastal town in southeastern Georgia known as a gateway to Cumberland Island and the surrounding marshes and waterways.
-
E.
Valdosta, Georgia
Valdosta, Georgia is a small city in southern Georgia known as a regional hub for education, retail, and sports, particularly high school football.
- F. None of above. chosen
Provenance (5 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_69ad859e529c8190a404273f53cb487d |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb078f3dc8190afb624f62894e48f |
completed | March 8, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2f3d35c448190a4ca50ae31639e65 |
completed | March 12, 2026, 5:11 p.m. |
| NEDg | Description generation | batch_69b2f9fb060881909dd940c69cf4a12e |
completed | March 12, 2026, 5:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3137bf988819080cef6c1946ec622 |
completed | March 12, 2026, 7:26 p.m. |
Created at: March 8, 2026, 3:10 p.m.