Triple
T20276332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GA-02 |
E503025
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Doerun, Georgia |
E580233
|
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: Doerun, Georgia | Statement: [GA-02, hasCity, Doerun, Georgia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doerun, Georgia Context triple: [GA-02, hasCity, Doerun, Georgia]
-
A.
Doerun, Georgia
chosen
Doerun, Georgia is a small rural city in southwest Georgia known for its agricultural community within Colquitt County.
-
B.
Rover, Georgia
Rover, Georgia is a small unincorporated rural community located in Spalding County in the U.S. state of Georgia.
-
C.
Redan, Georgia
Redan, Georgia is a suburban census-designated community in the eastern Atlanta metropolitan area known primarily as a residential enclave within DeKalb County.
-
D.
Varnell, Georgia
Varnell, Georgia is a small city in northwestern Georgia that functions as part of the Dalton metropolitan area in Whitfield County.
-
E.
Grovania, Georgia
Grovania, Georgia is an unincorporated community located in Houston County in the central part of the state.
- 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_69e0b4b0e79c8190bd61f22ef1329fa8 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e675e3df68819096fb859bc92a0da1 |
completed | April 20, 2026, 6:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a085a21233881908fb835541ae88c70 |
completed | May 16, 2026, 11:50 a.m. |
Created at: April 16, 2026, 10:32 a.m.