Triple
T8254591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ringgold, Georgia |
E193040
|
entity |
| Predicate | countySeatOf |
P383
|
FINISHED |
| Object | Catoosa County |
E255476
|
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: Catoosa County | Statement: [Ringgold, Georgia, countySeatOf, Catoosa County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Catoosa County Context triple: [Ringgold, Georgia, countySeatOf, Catoosa County]
-
A.
Catoosa County
chosen
Catoosa County is a county in northwestern Georgia known for its location in the Appalachian foothills and its role in Civil War history, including the Battle of Ringgold Gap.
-
B.
Blount County
Blount County is a county in eastern Tennessee known for encompassing part of the Great Smoky Mountains and serving as a suburban and recreational area near Knoxville.
-
C.
Blount County
Blount County is a county in north-central Alabama known for its rural communities, scenic landscapes, and historic covered bridges.
-
D.
Wilkinson County
Wilkinson County is a county in central Georgia, United States, known for its rural character and early 19th-century origins.
-
E.
Choctaw County
Choctaw County is a rural county in southwestern Alabama known for its pine forests, timber industry, and small, close-knit communities.
- 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_69ca82dfad9c8190b8cd18fb89f50f40 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb78f8eccc8190b43204bf2f8defc1 |
completed | March 31, 2026, 7:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd94f9c97881908c6e9f266aba888e |
completed | April 1, 2026, 9:58 p.m. |
Created at: March 30, 2026, 5:48 p.m.