Triple
T4819765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wayne County, Georgia |
E107679
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Screven, Georgia
Screven, Georgia is a small rural town in southeastern Georgia known for its quiet community and location within Wayne County.
|
E488878
|
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: Screven, Georgia | Statement: [Wayne County, Georgia, hasTown, Screven, Georgia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Screven, Georgia Context triple: [Wayne County, Georgia, hasTown, Screven, Georgia]
-
A.
De Soto, Georgia
De Soto, Georgia is a small rural city located in southwestern Georgia in the United States.
-
B.
Vidette, Georgia
Vidette, Georgia is a small unincorporated rural community located in Burke County in the eastern part of the state.
-
C.
Darien, Georgia
Darien, Georgia is a historic coastal city in McIntosh County known for its shrimping industry and scenic marshlands along the Atlantic coast.
-
D.
Folkston, Georgia
Folkston, Georgia is a small city in southeastern Georgia known as a gateway to the Okefenokee Swamp and a popular spot for train watching.
-
E.
Odum, Georgia
Odum, Georgia is a small town in southeastern Georgia, United States, located in Wayne County.
- 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: Screven, Georgia Triple: [Wayne County, Georgia, hasTown, Screven, Georgia]
Generated description
Screven, Georgia is a small rural town in southeastern Georgia known for its quiet community and location within Wayne County.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Screven, Georgia Target entity description: Screven, Georgia is a small rural town in southeastern Georgia known for its quiet community and location within Wayne County.
-
A.
De Soto, Georgia
De Soto, Georgia is a small rural city located in southwestern Georgia in the United States.
-
B.
Vidette, Georgia
Vidette, Georgia is a small unincorporated rural community located in Burke County in the eastern part of the state.
-
C.
Darien, Georgia
Darien, Georgia is a historic coastal city in McIntosh County known for its shrimping industry and scenic marshlands along the Atlantic coast.
-
D.
Folkston, Georgia
Folkston, Georgia is a small city in southeastern Georgia known as a gateway to the Okefenokee Swamp and a popular spot for train watching.
-
E.
Odum, Georgia
Odum, Georgia is a small town in southeastern Georgia, United States, located in Wayne County.
- 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_69bd43f9efa081908314cb3e94fa1695 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6c98358081908ed43425af667a98 |
completed | March 20, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be9c3e308c8190bb8319d34366bbb3 |
completed | March 21, 2026, 1:25 p.m. |
| NEDg | Description generation | batch_69be9e481f888190891df6efaa07570b |
completed | March 21, 2026, 1:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69be9e902e3881909f2662cf8f086cd9 |
completed | March 21, 2026, 1:35 p.m. |
Created at: March 20, 2026, 1:24 p.m.