Triple
T10822019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Lanier |
E255392
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Buford, Georgia |
E430175
|
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: Buford, Georgia | Statement: [Lake Lanier, locatedNear, Buford, Georgia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buford, Georgia Context triple: [Lake Lanier, locatedNear, Buford, Georgia]
-
A.
Buford, Georgia
chosen
Buford, Georgia is a small city in the Atlanta metropolitan area known for the Mall of Georgia and its historic downtown district.
-
B.
Buford
Buford is a surname most notably associated with Union cavalry officer John Buford, a key figure in the American Civil War.
-
C.
Snellville, Georgia
Snellville, Georgia is a suburban city in Gwinnett County known for its residential communities, local parks, and proximity to Atlanta.
-
D.
Dunwoody, Georgia
Dunwoody, Georgia is a suburban city in the Atlanta metropolitan area known for its residential neighborhoods, shopping centers, and business districts.
-
E.
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.
- 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_69d6aa8081448190a9324184f2bd1c26 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7344ae2688190bceabf41c79d298d |
completed | April 9, 2026, 5:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e344249f648190b541c7fad7a834f5 |
completed | April 18, 2026, 8:43 a.m. |
Created at: April 8, 2026, 9:18 p.m.