Triple
T19827010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shuakhevi Municipal Council |
E476352
|
entity |
| Predicate | meetsIn |
P40
|
FINISHED |
| Object | Shuakhevi |
—
|
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: Shuakhevi | Statement: [Shuakhevi Municipal Council, meetsIn, Shuakhevi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shuakhevi Context triple: [Shuakhevi Municipal Council, meetsIn, Shuakhevi]
-
A.
Shuakhevi
chosen
Shuakhevi is a small town and municipality in the mountainous region of Adjara in southwestern Georgia.
-
B.
Abastumani
Abastumani is a small resort town in southern Georgia, historically known for its mountain climate and therapeutic sanatoriums.
-
C.
Akhmeta
Akhmeta is a town in eastern Georgia known as a local center of the Kakheti region, situated near the foothills of the Greater Caucasus.
-
D.
Shekvetili
Shekvetili is a coastal village and resort area on Georgia’s Black Sea shore, known for its beaches, pine forests, and cultural attractions.
-
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_69d8e51c7c188190b926f3a2a7b5f881 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e656cb20788190b9deac6b8af6a55d |
completed | April 20, 2026, 4:39 p.m. |
Created at: April 10, 2026, 1:50 p.m.