Triple
T20606200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Imatra–Svetogorsk border crossing |
E506317
|
entity |
| Predicate | servesTown |
P847
|
FINISHED |
| Object | Svetogorsk |
—
|
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: Svetogorsk | Statement: [Imatra–Svetogorsk border crossing, servesTown, Svetogorsk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Svetogorsk Context triple: [Imatra–Svetogorsk border crossing, servesTown, 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.
Myślibórz
Myślibórz is a small historic town in northwestern Poland known for its medieval architecture and picturesque lakes.
-
C.
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.
-
D.
Svetlogorsk
Svetlogorsk is an industrial city in southeastern Belarus known for its chemical and pulp-and-paper industries along the Berezina River.
-
E.
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.
- 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_69e0b4bb2b4081908fa4a72444120f35 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6aa2452888190858d273430cd783d |
completed | April 20, 2026, 10:35 p.m. |
Created at: April 16, 2026, 11:41 a.m.