Triple
T17740821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chkondidi |
E442849
|
entity |
| Predicate | hasCulturalRegion |
P1968
|
FINISHED |
| Object | Samegrelo |
—
|
NE NERFINISHED |
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: Samegrelo | Statement: [Chkondidi, hasCulturalRegion, Samegrelo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samegrelo Context triple: [Chkondidi, hasCulturalRegion, Samegrelo]
-
A.
Samegrelo
chosen
Samegrelo is a historic region in western Georgia known for its distinct Mingrelian culture, language, and cuisine.
-
B.
Samegrelo-Zemo Svaneti
Samegrelo-Zemo Svaneti is a mountainous region in western Georgia known for its historic Svan towers, rich Megrelian and Svan cultures, and dramatic Caucasus landscapes.
-
C.
Guria
Guria is a historical region in western Georgia known for its Black Sea coastline, rich folk traditions, and distinctive polyphonic singing.
-
D.
Imereti region of Georgia
The Imereti region of Georgia is a historic western area centered around the city of Kutaisi, known for its rich cultural heritage, monasteries, caves, and scenic landscapes.
-
E.
Kvemo Kartli
Kvemo Kartli is a region in southeastern Georgia known for its ethnically diverse population, agricultural production, and industrial centers such as Rustavi.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47acc2610819099451b02bb51891f |
completed | April 19, 2026, 6:48 a.m. |
Created at: April 10, 2026, 10:09 a.m.