Triple
T2945928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Union City, Georgia |
E79499
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Fairburn, Georgia |
E77675
|
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: Fairburn, Georgia | Statement: [Union City, Georgia, adjacentTo, Fairburn, Georgia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fairburn, Georgia Context triple: [Union City, Georgia, adjacentTo, Fairburn, Georgia]
-
A.
Fairburn, Georgia
chosen
Fairburn, Georgia is a small city in the Atlanta metropolitan area known for its historic downtown and role as a growing suburban community.
-
B.
Bogart, Georgia
Bogart, Georgia is a small town in northeastern Georgia located near the Athens metropolitan area.
-
C.
Grantville, Georgia
Grantville, Georgia is a small city in west-central Georgia known for its historic downtown and role as a filming location for several movies and television shows.
-
D.
Blitchton, Georgia
Blitchton, Georgia is a small unincorporated community in Bryan County in southeastern Georgia, located near the eastern end of U.S. Route 280.
-
E.
Morrow, Georgia
Morrow, Georgia is a small suburban city in the Atlanta metropolitan area known for housing Clayton State University and various retail and commercial centers.
- 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_69ad8b1089588190b74d9e2505e45762 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad98b3f86c819094526c2af611bfb5 |
completed | March 8, 2026, 3:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b08692105c81908a3a146376b7417f |
completed | March 10, 2026, 9:01 p.m. |
Created at: March 8, 2026, 2:56 p.m.