Triple
T2343321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peach County |
E45074
|
entity |
| Predicate | hasCountySeat |
P383
|
FINISHED |
| Object | Fort Valley |
E48346
|
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: Fort Valley | Statement: [Peach County, hasCountySeat, Fort Valley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fort Valley Context triple: [Peach County, hasCountySeat, Fort Valley]
-
A.
Fort Valley, Georgia
chosen
Fort Valley, Georgia is a small city in central Georgia known as the home of Fort Valley State University and a hub for the state’s peach-growing industry.
-
B.
Dawsonville
Dawsonville is a small city in north Georgia known for its gold rush history and strong ties to stock car racing and NASCAR culture.
-
C.
Mauldin
Mauldin is a city in South Carolina, United States, known as a suburban community within the Greenville metropolitan area.
-
D.
Fort Payne
Fort Payne is a small city in northeastern Alabama known for its scenic Appalachian setting and historic role in the Cherokee Nation and the Trail of Tears.
-
E.
Woodfin
Woodfin is the surname of Randall Woodfin, an American politician and mayor of Birmingham, Alabama.
- 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_69a88917935081909b755dbf38e81024 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abc6ae33e881909a81a0c0def59059 |
completed | March 7, 2026, 6:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae96253f0c81908b866c656c3f5bea |
completed | March 9, 2026, 9:43 a.m. |
Created at: March 4, 2026, 7:52 p.m.