Triple
T7954087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Redan, Georgia |
E184686
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Lithonia, Georgia |
E221121
|
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: Lithonia, Georgia | Statement: [Redan, Georgia, adjacentTo, Lithonia, Georgia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lithonia, Georgia Context triple: [Redan, Georgia, adjacentTo, Lithonia, Georgia]
-
A.
Lithonia, Georgia
chosen
Lithonia, Georgia is a small city in the eastern Atlanta metropolitan area known historically for its granite quarries and African American heritage.
-
B.
Snellville, Georgia
Snellville, Georgia is a suburban city in Gwinnett County known for its residential communities, local parks, and proximity to Atlanta.
-
C.
Lilburn, Georgia
Lilburn, Georgia is a suburban city in the Atlanta metropolitan area known for its diverse community and family-oriented neighborhoods.
-
D.
Hapeville, Georgia
Hapeville, Georgia is a small city in the Atlanta metropolitan area known for its proximity to Hartsfield–Jackson Atlanta International Airport and its historic downtown.
-
E.
Dunwoody, Georgia
Dunwoody, Georgia is a suburban city in the Atlanta metropolitan area known for its residential neighborhoods, shopping centers, and business districts.
- 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_69ca8292cba881908a64427b938dac47 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b5f74308190aa63a22c3d5feacc |
completed | March 31, 2026, 3:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe05d89a08190ae5bd4092d007442 |
completed | March 31, 2026, 2:55 p.m. |
Created at: March 30, 2026, 5:10 p.m.