Triple
T5047555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enguri River |
E113703
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object | Zugdidi |
E124901
|
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: Zugdidi | Statement: [Enguri River, nearbyCity, Zugdidi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zugdidi Context triple: [Enguri River, nearbyCity, Zugdidi]
-
A.
Zugdidi
chosen
Zugdidi is a city in western Georgia that serves as the main urban and administrative center of the Samegrelo region.
-
B.
Tskhinvali
Tskhinvali is the capital city of the breakaway region of South Ossetia in the South Caucasus, serving as its political and administrative center.
-
C.
Rustavi
Rustavi is an industrial city in southeastern Georgia, located near the capital Tbilisi and known for its steel production and Soviet-era urban planning.
-
D.
Zestafoni
Zestafoni is a town in western Georgia known as an important industrial and transportation hub, particularly for its ferroalloy plant and railway connections.
-
E.
Telavi
Telavi is a historic city in eastern Georgia known as the cultural and economic center of the Kakheti wine-producing region.
- 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_69bd44391fc48190a311ce9c826c209b |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd740002b48190bc7aa176d734c589 |
completed | March 20, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf10b66e548190a5e336fa5355979e |
completed | March 21, 2026, 9:42 p.m. |
Created at: March 20, 2026, 1:37 p.m.