город Тула
E448919
Город Тула — крупный промышленный и культурный центр России, исторически известный как оружейная столица страны и родина тульского пряника.
All labels observed (1)
| Label | Occurrences |
|---|---|
| город Тула canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4514548 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: город Тула Context triple: [Ясная Поляна, locatedNear, город Тула]
-
A.
Murom
Murom is an ancient Russian city in Vladimir Oblast, known as one of the oldest settlements in Russia and a historic center of Eastern Orthodox culture.
-
B.
Tolyatti
Tolyatti is a major industrial city in Russia on the Volga River, best known as the home of the AvtoVAZ automobile plant that produces Lada cars.
-
C.
Dmitrov
Dmitrov is a historic town in Moscow Oblast, Russia, located north of Moscow and known for its medieval kremlin and role as a regional cultural center.
-
D.
Ryazan
Ryazan is a historic city in western Russia known for its medieval kremlin, role as a regional cultural and economic center, and legacy as one of the country’s oldest urban settlements.
-
E.
Serpukhov
Serpukhov is a historic Russian town south of Moscow known for its medieval monasteries, industrial heritage, and location on the Nara River.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: город Тула Target entity description: Город Тула — крупный промышленный и культурный центр России, исторически известный как оружейная столица страны и родина тульского пряника.
-
A.
Murom
Murom is an ancient Russian city in Vladimir Oblast, known as one of the oldest settlements in Russia and a historic center of Eastern Orthodox culture.
-
B.
Tolyatti
Tolyatti is a major industrial city in Russia on the Volga River, best known as the home of the AvtoVAZ automobile plant that produces Lada cars.
-
C.
Dmitrov
Dmitrov is a historic town in Moscow Oblast, Russia, located north of Moscow and known for its medieval kremlin and role as a regional cultural center.
-
D.
Ryazan
Ryazan is a historic city in western Russia known for its medieval kremlin, role as a regional cultural and economic center, and legacy as one of the country’s oldest urban settlements.
-
E.
Serpukhov
Serpukhov is a historic Russian town south of Moscow known for its medieval monasteries, industrial heritage, and location on the Nara River.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
административный центр субъекта Российской Федерации
ⓘ
город ⓘ |
| country |
Россия
ⓘ
linked to:
Russia
|
| firstMentioned | XIV век ⓘ |
| foundedInCentury | XIV век ⓘ |
| hasCulturalHeritage |
Тульский кремль
ⓘ
linked to:
Tula Kremlin
исторический центр города ⓘ |
| hasCulturalInstitution |
Театр юного зрителя в Туле
ⓘ
Тульская областная филармония ⓘ Тульский академический театр драмы ⓘ |
| hasDialingCode | +7 4872 ⓘ |
| hasHigherEducationInstitution |
Тульский государственный педагогический университет
ⓘ
linked to:
Tula State Pedagogical University
Тульский государственный университет ⓘ
linked to:
Tula State Pedagogical University
|
| hasIndustry |
военно-промышленный комплекс
ⓘ
машиностроение ⓘ металлургия ⓘ пищевая промышленность ⓘ химическая промышленность ⓘ |
| hasMuseum |
Музей самоваров в Туле
ⓘ
Музей тульского пряника ⓘ Тульский государственный музей оружия ⓘ
linked to:
Tula Samovar Museum
Тульский областной краеведческий музей ⓘ |
| hasNotableProduct |
тульский пряник
ⓘ
тульский самовар ⓘ |
| hasPopulation | over 400000 ⓘ |
| hasPostalCodeRange | 300000–300999 ⓘ |
| hasRailwayStation |
станция Тула-1 Курская
ⓘ
станция Тула-Вяземская ⓘ |
| hasSportsTeam | ФК Арсенал Тула ⓘ |
| hasStatus | город областного значения ⓘ |
| hasTransport |
автомобильные магистрали федерального значения
ⓘ
железнодорожный узел ⓘ |
| hasTwinTown |
Бельцы
ⓘ
linked to:
Beltsy
Брно ⓘ
linked to:
Brno
Кассель ⓘ
linked to:
Kassel
Кутаиси ⓘ Луганск ⓘ
linked to:
Luhansk
Могилёв ⓘ
linked to:
Mogilev
Резекне ⓘ Сегед ⓘ |
| isAdministrativeCenterOf |
Тульская область
ⓘ
linked to:
Tula Oblast
|
| isIn |
Тульская область
ⓘ
linked to:
Tula Oblast
|
| isRegionalCenterOf | Центральный федеральный округ ⓘ |
| knownAs | оружейная столица России ⓘ |
| knownFor |
оружейная промышленность
ⓘ
самоварное производство ⓘ тульский пряник ⓘ |
| locatedInTimeZone | UTC+3 ⓘ |
| locatedOnRiver | река Упа ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: город Тула Description of subject: Город Тула — крупный промышленный и культурный центр России, исторически известный как оружейная столица страны и родина тульского пряника.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.