Triple
T4668631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tsolikouri |
E102907
|
entity |
| Predicate | cultivatedIn |
P2078
|
FINISHED |
| Object | Imereti |
E16413
|
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: Imereti | Statement: [Tsolikouri, cultivatedIn, Imereti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Imereti Context triple: [Tsolikouri, cultivatedIn, Imereti]
-
A.
Imereti
chosen
Imereti is a historical region in western Georgia known for its rich cultural heritage, ancient monasteries, and distinctive cuisine and winemaking traditions.
-
B.
Kakheti
Kakheti is a historic region in eastern Georgia renowned as the country’s primary wine-producing area and a center of Georgian cultural heritage.
-
C.
Mtskheta-Mtianeti
Mtskheta-Mtianeti is a mountainous region in northeastern Georgia known for its historic towns, including the ancient capital Mtskheta, and its role as a cultural and religious center.
-
D.
Shida Kartli
Shida Kartli is a central region of Georgia known for its historical significance and agricultural production, with Gori as one of its main cities.
-
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 (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_69bd43d9cba4819086c1ab1c2d9d2133 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd6340ce548190bd436c59f28227d7 |
completed | March 20, 2026, 3:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bfc0140a548190a9fb54c267622fb1 |
completed | March 22, 2026, 10:10 a.m. |
Created at: March 20, 2026, 1:15 p.m.