Triple
T19826896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kobuleti beach |
E476350
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Kobuleti |
—
|
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: Kobuleti | Statement: [Kobuleti beach, locatedIn, Kobuleti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kobuleti Context triple: [Kobuleti beach, locatedIn, Kobuleti]
-
A.
Kobuleti
chosen
Kobuleti is a Georgian Black Sea resort town known for its long pebble beaches and role as a popular holiday destination in the autonomous region of Adjara.
-
B.
Kobuleti Municipality
Kobuleti Municipality is an administrative district in western Georgia’s Adjara region, known for its Black Sea coastline and the resort town of Kobuleti.
-
C.
Bazaleti
Bazaleti is a village in eastern Georgia known for its scenic Bazaleti Lake and location within the Dusheti Municipality of the Mtskheta-Mtianeti region.
-
D.
Kardenakhi
Kardenakhi is a Georgian village in the Kakheti region renowned for producing high-quality wines under its own appellation.
-
E.
Teteven
Teteven is a picturesque town in central Bulgaria, known for its mountainous scenery, rivers, and role as a regional cultural and tourist center.
- 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.