Triple
T2019045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toruń |
E44061
|
entity |
| Predicate | twinnedWith |
P1072
|
FINISHED |
| Object | Kaliningrad |
E81323
|
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: Kaliningrad | Statement: [Toruń, twinnedWith, Kaliningrad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaliningrad Context triple: [Toruń, twinnedWith, Kaliningrad]
-
A.
Kaliningrad Oblast
chosen
Kaliningrad Oblast is a Russian exclave on the Baltic Sea, situated between Poland and Lithuania, known for its strategic location and historic capital, Kaliningrad (formerly Königsberg).
-
B.
Königsberg
Königsberg was a historic Prussian city on the Baltic Sea, renowned as a major cultural and intellectual center of East Prussia and later known as Kaliningrad.
-
C.
Tuapse
Tuapse is a Black Sea port town in southern Russia known as a seaside resort and industrial center within Krasnodar Krai.
-
D.
Cherepovets
Cherepovets is a major industrial city in northwestern Russia, known especially for its large steel production and chemical industries.
-
E.
Vyborg
Vyborg is a historic port city in northwestern Russia near the Finnish border, known for its medieval castle and long-contested status between Sweden, Finland, and Russia.
- 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_69a8891201bc8190aca837be6de41579 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb8cfa5c88190b55bce5db968665b |
completed | March 7, 2026, 5:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae1fe88e8881909f2e64ebe23b6d1f |
completed | March 9, 2026, 1:18 a.m. |
Created at: March 4, 2026, 7:38 p.m.