Multan District

E406696

Multan District is an administrative district in Punjab, Pakistan, centered on the historic city of Multan and known for its cultural, economic, and religious significance in the region.

Try in SPARQL Jump to: Surface forms Statements Referenced by

All labels observed (2)

Label Occurrences
Multan District canonical 3
District Administration Multan 1

Statements (48)

Predicate Object
instanceOf administrative district
district
administrativeCenter Multan ONNED1
agriculturalProduct cotton
mangoes
sugarcane
wheat
borderedByDistrict Khanewal District
Lodhran District
Muzaffargarh
surface form: Muzaffargarh District

Vehari District
capital Multan
climate arid climate
hot desert climate
containsCity Multan NERFINISHED
containsTehsil Jalalpur Pirwala Tehsil
Multan Tehsil
Shershah Tehsil
Shujabad Tehsil
country Pakistan
governingBody Multan District self-linksurface differs
surface form: District Administration Multan
hasAirport Multan International Airport
hasHistoricCity Multan NERFINISHED
hasMajorRoad M-4 Motorway NERFINISHED
National Highway N-5
hasNotableIndustry agro-based industry
textile industry
hasUniversity Bahauddin Zakariya University
Nishtar Medical University
knownFor Sufi shrines
cotton production
cultural significance
economic significance
fertile agricultural land
mango production
religious significance
locatedIn Punjab, Pakistan
South Punjab
locatedOnRiver Chenab River
majorLanguage Punjabi language
surface form: Punjabi

Saraiki
Urdu language
surface form: Urdu
majorReligion Islam
partOf Multan Division
region Seraiki-speaking region
subdivisionOf Punjab, Pakistan
surface form: Punjab Province
timeZone Pakistan Standard Time
utcOffset +05:00

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: Multan District
Description of subject: Multan District is an administrative district in Punjab, Pakistan, centered on the historic city of Multan and known for its cultural, economic, and religious significance in the region.

Referenced by (4)

Full triples — surface form annotated when it differs from this entity's canonical label.

Multan administrativeUnit Multan District
Ghanta Ghar (Clock Tower) locatedIn Multan District
subject surface form: Ghanta Ghar (Clock Tower), Multan
Multan District governingBody Multan District self-linksurface differs
this entity surface form: District Administration Multan