Triple
T2328474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fort Valley, Georgia |
E48346
|
entity |
| Predicate | county |
P75
|
FINISHED |
| Object | Peach County |
E45074
|
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: Peach County | Statement: [Fort Valley, Georgia, county, Peach County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peach County Context triple: [Fort Valley, Georgia, county, Peach County]
-
A.
Peach County
chosen
Peach County is a county in central Georgia known for its agricultural production, especially peaches, and its location within the Macon metropolitan area.
-
B.
Banks County
Banks County is a rural county in northeastern Georgia known for its location within the historic Georgia Gold Belt and its small-town communities.
-
C.
Tallapoosa County
Tallapoosa County is a county in east-central Alabama known for Lake Martin, outdoor recreation, and its county seat, Dadeville.
-
D.
Gordon County
Gordon County is a county in northwestern Georgia, United States, known historically for its location within the mineral-rich Georgia Gold Belt.
-
E.
Toombs County
Toombs County is a rural county in southeastern Georgia known for its agriculture, particularly Vidalia onions, and its county seat, Lyons.
- 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_69a88aa308a88190b0b86c011fda7fce |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc665c6548190af90d70475b4519b |
completed | March 7, 2026, 6:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bfabdc5b888190b62b7c56c05f6687 |
completed | March 22, 2026, 8:44 a.m. |
Created at: March 4, 2026, 7:50 p.m.