TR-25
E414218
TR-25 is the statistical and administrative region code assigned to Turkey’s Erzurum Province.
All labels observed (1)
| Label | Occurrences |
|---|---|
| TR-25 canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4109558 — 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: TR-25 Context triple: [Erzurum Province, regionCode, TR-25]
-
A.
TR-1A
The TR-1A is a high-altitude tactical reconnaissance aircraft developed from the Lockheed U-2, optimized for battlefield surveillance and intelligence-gathering missions.
-
B.
T-25 Universal
The T-25 Universal is a Brazilian-designed military trainer aircraft widely used for basic flight instruction and pilot training.
-
C.
TX-22
TX-22 is a United States congressional district in Texas that encompasses suburban areas southwest of Houston and is represented in the U.S. House of Representatives.
-
D.
TX-27
TX-27 is a U.S. congressional district in Texas that elects a representative to the United States House of Representatives.
-
E.
TX-35
TX-35 is the commonly used abbreviation for Texas's 35th congressional district, a U.S. House of Representatives district centered around parts of Austin and San Antonio.
- 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: TR-25 Target entity description: TR-25 is the statistical and administrative region code assigned to Turkey’s Erzurum Province.
-
A.
TR-1A
The TR-1A is a high-altitude tactical reconnaissance aircraft developed from the Lockheed U-2, optimized for battlefield surveillance and intelligence-gathering missions.
-
B.
T-25 Universal
The T-25 Universal is a Brazilian-designed military trainer aircraft widely used for basic flight instruction and pilot training.
-
C.
TX-22
TX-22 is a United States congressional district in Texas that encompasses suburban areas southwest of Houston and is represented in the U.S. House of Representatives.
-
D.
TX-27
TX-27 is a U.S. congressional district in Texas that elects a representative to the United States House of Representatives.
-
E.
TX-35
TX-35 is the commonly used abbreviation for Texas's 35th congressional district, a U.S. House of Representatives district centered around parts of Austin and San Antonio.
- F. None of above. chosen
Statements (25)
| Predicate | Object |
|---|---|
| instanceOf |
NUTS code
ⓘ
statistical region code ⓘ |
| administrativeUnitType | province ⓘ |
| appliesToAdministrativeUnit | Erzurum Province ⓘ |
| classificationSystem | NUTS:TR ⓘ |
| codeFormat | TR-25 ⓘ |
| codeType | regional statistical code ⓘ |
| country | Turkey ⓘ |
| geographicalScope |
Erzurum Province, Turkey
ⓘ
linked to:
Erzurum Province
|
| hasComponent |
country code TR
ⓘ
region number 25 ⓘ |
| identifies |
Erzurum Province as a NUTS 2 region
ⓘ
linked to:
Erzurum Province
|
| isDistinctFrom |
postal codes of Erzurum
ⓘ
vehicle registration code of Erzurum ⓘ |
| languageOfCode | Latin script ⓘ |
| partOfLargerRegion |
Northeast Anatolia
ⓘ
linked to:
Eastern Anatolia
|
| partOfStatisticalRegion | TR2 ⓘ |
| regionName | Erzurum ⓘ |
| statisticalRegionLevel | NUTS 2 ⓘ |
| status | active code ⓘ |
| usedBy |
European statistical systems
ⓘ
linked to:
European Statistical System
Turkish statistical authorities ⓘ |
| usedFor |
regional planning
ⓘ
statistical purposes ⓘ |
| usesStandard | NUTS classification for Turkey ⓘ |
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: TR-25 Description of subject: TR-25 is the statistical and administrative region code assigned to Turkey’s Erzurum Province.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.