Triple
T2142402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yatesville, Georgia |
E46787
|
entity |
| Predicate | countrySubdivision |
P766
|
FINISHED |
| Object | Upson County |
E17106
|
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: Upson County | Statement: [Yatesville, Georgia, countrySubdivision, Upson County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Upson County Context triple: [Yatesville, Georgia, countrySubdivision, Upson County]
-
A.
Upson County
chosen
Upson County is a county in central Georgia, United States, known for its seat in Thomaston and its mix of rural communities and small-town industry.
-
B.
Crawford County
Crawford County is a rural county in central Georgia known for its agricultural landscape and small-town communities west of Macon.
-
C.
Van Buren County
Van Buren County is a county in southwestern Michigan known for its Lake Michigan shoreline, agricultural areas, and small towns.
-
D.
Winneshiek County
Winneshiek County is a county in northeastern Iowa known for its scenic Driftless Area landscape, Norwegian-American heritage, and county seat of Decorah.
-
E.
Warren County
Warren County is a county in northeastern New York State known for encompassing much of the Adirondack Mountains and popular tourist destinations such as Lake George.
- 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_69a88a174ab48190a5db20c132e5dccf |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbe0543108190862dd9a4a861c758 |
completed | March 7, 2026, 5:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae58d5535c8190b59293afe3a10834 |
completed | March 9, 2026, 5:21 a.m. |
Created at: March 4, 2026, 7:44 p.m.