Triple
T19169809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kvareli Municipality |
E469288
|
entity |
| Predicate | wineAppellation |
P68485
|
FINISHED |
| Object | Kindzmarauli |
—
|
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: Kindzmarauli | Statement: [Kvareli Municipality, wineAppellation, Kindzmarauli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kindzmarauli Context triple: [Kvareli Municipality, wineAppellation, Kindzmarauli]
-
A.
Kindzmarauli
chosen
Kindzmarauli is a semi-sweet red Georgian wine, traditionally made from Saperavi grapes in the Kakheti region.
-
B.
Abastumani
Abastumani is a small resort town in southern Georgia, historically known for its mountain climate and therapeutic sanatoriums.
-
C.
Shuakhevi
Shuakhevi is a small town and municipality in the mountainous region of Adjara in southwestern Georgia.
-
D.
Akhalkalaki
Akhalkalaki is a town in southern Georgia known as a regional center in the Samtskhe–Javakheti area, historically significant and situated near the country’s border with Armenia.
-
E.
Mingachevir
Mingachevir is a city in Azerbaijan known for its large hydroelectric power station and reservoir on the Kura River, making it a key energy and industrial center in the country.
- 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_69d8dd09d5a081909ae43c286651ae5a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f162ac648190a5f60c6a77b68304 |
completed | April 20, 2026, 9:26 a.m. |
Created at: April 10, 2026, 12:06 p.m.