Triple
T9867320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marneuli |
E239865
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | southern Georgia |
E105403
|
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: southern Georgia | Statement: [Marneuli, locatedIn, southern Georgia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: southern Georgia Context triple: [Marneuli, locatedIn, southern Georgia]
-
A.
southern Georgia
chosen
Southern Georgia is a region in the south of the country of Georgia, bordering Turkey and Armenia and known for its diverse landscapes and ethnic composition.
-
B.
Southeast Georgia
Southeast Georgia is a coastal region of the U.S. state of Georgia known for its marshlands, barrier islands, and historic port cities such as Savannah and Brunswick.
-
C.
Southwest Georgia
Southwest Georgia is a rural region of the U.S. state of Georgia known for its agricultural economy, small towns, and historical ties to the Deep South.
-
D.
western Georgia
Western Georgia is the western part of the country of Georgia, encompassing regions along the Black Sea coast and the foothills of the Caucasus Mountains.
-
E.
western Georgia
Western Georgia is a region of the U.S. state of Georgia characterized by rolling hills, small towns, and natural attractions such as lakes, forests, and resort areas.
- 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_69ca84e7506c819095cbde4ff16512bb |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3d209ac8190b9bc9ff017a132da |
completed | April 2, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1e45add0481909a0416035054a563 |
completed | April 5, 2026, 4:26 a.m. |
Created at: March 30, 2026, 8:36 p.m.