Triple
T5270887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Imatra |
E119253
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Svetogorsk |
E316280
|
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: Svetogorsk | Statement: [Imatra, adjacentTo, Svetogorsk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Svetogorsk Context triple: [Imatra, adjacentTo, Svetogorsk]
-
A.
Svetogorsk
chosen
Svetogorsk is a small industrial town in northwestern Russia near the Finnish border, known for its paper mill and location along the Vuoksi River.
-
B.
Svetlogorsk
Svetlogorsk is a coastal resort town on the Baltic Sea in Russia’s Kaliningrad Oblast, known for its beaches, sanatoriums, and picturesque seaside promenade.
-
C.
Malinska
Malinska is a coastal resort town and popular tourist destination on the island of Krk in Croatia, known for its beaches and Mediterranean atmosphere.
-
D.
Plavsk
Plavsk is a small town in western Russia known for its agricultural surroundings and location within the Tula region.
-
E.
Primorsk
Primorsk is a port town in northwestern Russia situated on the coast of the Gulf of Finland in Leningrad Oblast.
- 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_69bd446c38e081908cdaf113bdf86790 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7c1fa01081909d589686289b624b |
completed | March 20, 2026, 4:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69befe9691608190bae0865f80e23062 |
completed | March 21, 2026, 8:24 p.m. |
Created at: March 20, 2026, 1:51 p.m.