Triple
T19500076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sugar Hill, Georgia |
E487878
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Cumming, Georgia |
E154675
|
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: Cumming, Georgia | Statement: [Sugar Hill, Georgia, borderedBy, Cumming, Georgia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cumming, Georgia Context triple: [Sugar Hill, Georgia, borderedBy, Cumming, Georgia]
-
A.
Cumming, Georgia
chosen
Cumming, Georgia is a small city in Forsyth County that serves as a suburban hub within the Atlanta metropolitan area.
-
B.
Colquitt, Georgia
Colquitt, Georgia is a small city in southwest Georgia known as the cultural and economic hub of Miller County.
-
C.
Cumberland, Georgia
Cumberland, Georgia is a major commercial and entertainment district in Cobb County, best known as the home of Truist Park and The Battery Atlanta.
-
D.
Fairmount, Georgia
Fairmount, Georgia is a small rural city in northwestern Georgia known for its quiet community and proximity to the foothills of the Appalachian Mountains.
-
E.
Sylvania, Georgia
Sylvania, Georgia is a small city in Screven County known as the county seat and a historic community in eastern Georgia.
- 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_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6349462108190bb763b4e03bf000d |
completed | April 20, 2026, 2:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a074e6eee448190b5cc552199e6d9b0 |
completed | May 15, 2026, 4:48 p.m. |
Created at: April 10, 2026, 1:40 p.m.