Triple
T15812200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sambia Peninsula |
E383381
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Svetlogorsk |
E503539
|
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: Svetlogorsk | Statement: [Sambia Peninsula, containsSettlement, Svetlogorsk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Svetlogorsk Context triple: [Sambia Peninsula, containsSettlement, Svetlogorsk]
-
A.
Svetlogorsk
chosen
Svetlogorsk is a coastal resort town on the Baltic Sea in Russia’s Kaliningrad Oblast, known for its beaches, sanatoriums, and picturesque seaside promenade.
-
B.
Svetlogorsk
Svetlogorsk is an industrial city in southeastern Belarus known for its chemical and pulp-and-paper industries along the Berezina River.
-
C.
Perovo
Perovo is a Moscow Metro station serving the Kalininsko–Solntsevskaya Line in the Perovo District of eastern Moscow.
-
D.
Svetogorsk
Svetogorsk is a small industrial town in northwestern Russia near the Finnish border, known for its paper mill and location along the Vuoksi River.
-
E.
Dravograd
Dravograd is a small Slovenian town in the Carinthia region, known for its location at the confluence of the Drava and Meža rivers and its historical role as a regional center.
- 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_69d86da2858c819090cc8481e7207b6e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b52bbb888190b226567e84ced7e9 |
completed | April 16, 2026, 10:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff9993c86c8190b1d106af7537080a |
completed | May 9, 2026, 8:31 p.m. |
Created at: April 10, 2026, 4:49 a.m.