Triple
T3311985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jefferson County, Georgia |
E69592
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Wrens, Georgia
Wrens, Georgia is a small city in eastern Georgia known as a local community hub within Jefferson County.
|
E345707
|
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: Wrens, Georgia | Statement: [Jefferson County, Georgia, containsSettlement, Wrens, Georgia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wrens, Georgia Context triple: [Jefferson County, Georgia, containsSettlement, Wrens, Georgia]
-
A.
Birdie, Georgia
Birdie, Georgia is a small unincorporated rural community located in Spalding County in the U.S. state of Georgia.
-
B.
Woolsey, Georgia
Woolsey, Georgia is a small incorporated town located in Fayette County in the U.S. state of Georgia.
-
C.
Wildwood, Georgia
Wildwood, Georgia is a small unincorporated community in Dade County near the northwest corner of the state, close to the Tennessee and Alabama borders.
-
D.
Faison
Faison is a surname most notably associated with American actor and comedian Donald Faison.
-
E.
Lovejoy, Georgia
Lovejoy, Georgia is a small city in the southern Atlanta metropolitan area known for its Civil War history and suburban residential character.
- 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: Wrens, Georgia Triple: [Jefferson County, Georgia, containsSettlement, Wrens, Georgia]
Generated description
Wrens, Georgia is a small city in eastern Georgia known as a local community hub within Jefferson County.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wrens, Georgia Target entity description: Wrens, Georgia is a small city in eastern Georgia known as a local community hub within Jefferson County.
-
A.
Birdie, Georgia
Birdie, Georgia is a small unincorporated rural community located in Spalding County in the U.S. state of Georgia.
-
B.
Woolsey, Georgia
Woolsey, Georgia is a small incorporated town located in Fayette County in the U.S. state of Georgia.
-
C.
Wildwood, Georgia
Wildwood, Georgia is a small unincorporated community in Dade County near the northwest corner of the state, close to the Tennessee and Alabama borders.
-
D.
Faison
Faison is a surname most notably associated with American actor and comedian Donald Faison.
-
E.
Lovejoy, Georgia
Lovejoy, Georgia is a small city in the southern Atlanta metropolitan area known for its Civil War history and suburban residential character.
- 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_69ad85a0bb048190a5458d2738012d61 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0eddf488190b7f05b3903b96d4b |
completed | March 8, 2026, 5:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2f3f3ece08190b488be792d57a653 |
completed | March 12, 2026, 5:12 p.m. |
| NEDg | Description generation | batch_69b2fa431f4c819088c6e0afd4f2f774 |
completed | March 12, 2026, 5:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2fe1d4f9c8190a8d4f1206c551671 |
completed | March 12, 2026, 5:55 p.m. |
Created at: March 8, 2026, 3:11 p.m.