Triple
T13921775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Вышний Волочёк |
E334762
|
entity |
| Predicate | hasNameInRussian |
P20560
|
FINISHED |
| Object | Вышний Волочёк |
E334762
|
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: Вышний Волочёк | Statement: [Вышний Волочёк, hasNameInRussian, Вышний Волочёк]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Вышний Волочёк Context triple: [Вышний Волочёк, hasNameInRussian, Вышний Волочёк]
-
A.
Вышний Волочёк
chosen
Вышний Волочёк — это город в Тверской области России, расположенный на важном историческом водном пути между бассейнами Волги и Балтийского моря.
-
B.
Vyatskoye
Vyatskoye is a rural locality in Russia’s Khabarovsk Krai, historically noted as the birthplace of North Korean leader Kim Jong Il.
-
C.
Kholmogory
Kholmogory is a historic Russian town in the Arkhangelsk region that served as an important early northern trading and administrative center.
-
D.
Sosnovy Bor
Sosnovy Bor is a Russian coastal town on the Gulf of Finland known for its large nuclear power plant and role as an energy and industrial center.
-
E.
Nikolskoye
Nikolskoye is a town in northwestern Russia known as part of the Saint Petersburg metropolitan area 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_69d81c5f739081908bc05b2461f54828 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2aa5c1f481908a9d8786872f08fe |
completed | April 14, 2026, 11:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1c45ba4819096233570d8d4afec |
completed | May 6, 2026, 8:17 p.m. |
Created at: April 9, 2026, 10:16 p.m.