Triple
T15524616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CobbLinc |
E369050
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Mableton, Georgia |
E296189
|
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: Mableton, Georgia | Statement: [CobbLinc, serves, Mableton, Georgia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mableton, Georgia Context triple: [CobbLinc, serves, Mableton, Georgia]
-
A.
Mableton, Georgia
chosen
Mableton, Georgia is a suburban community in Cobb County that forms part of the greater Atlanta metropolitan area.
-
B.
Meansville, Georgia
Meansville, Georgia is a small rural town in Pike County known for its quiet residential character and location along regional routes in west-central Georgia.
-
C.
Sylvania, Georgia
Sylvania, Georgia is a small city in Screven County known as the county seat and a historic community in eastern Georgia.
-
D.
Townsend, Georgia
Townsend, Georgia is a small unincorporated community in coastal southeastern Georgia known for its rural character and proximity to marshlands and waterways.
-
E.
Walthourville, Georgia
Walthourville, Georgia is a small city in southeastern Georgia that forms part of the Hinesville–Fort Stewart metropolitan area.
- 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_69d85a1794cc8190b0b428716296e63e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e04143bda08190a2dee44918c1ad1c |
completed | April 16, 2026, 1:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f2d4b1c81909ff876289db20803 |
completed | May 9, 2026, 4:22 p.m. |
Created at: April 10, 2026, 4:05 a.m.