Shibuya Mark City

E147453
building complex commercial complex mixed-use development

Shibuya Mark City is a large commercial complex in Tokyo’s Shibuya district, featuring offices, a hotel, and a shopping and dining mall directly connected to Shibuya Station.

Try in SPARQL Jump to: Surface forms Statements Referenced by

All labels observed (2)

Label Occurrences
Shibuya Mark City canonical 2
Shibuya Excel Hotel Tokyu 1

Statements (46)

Predicate Object
instanceOf building complex ⓘ
commercial complex ⓘ
mixed-use development ⓘ
adjacentTo Shibuya Station west side ⓘ
city Tokyo ⓘ
connectedBy pedestrian passageways ⓘ
connectedTo Shibuya Station ⓘ
country Japan ⓘ
developer Tokyu Corporation ⓘ
district Shibuya ⓘ
hasAmenity cafés ⓘ
hotel rooms ⓘ
office floors ⓘ
restaurants ⓘ
retail stores ⓘ
hasFunction hospitality ⓘ
office ⓘ
retail ⓘ
transportation hub access ⓘ
hasPart East Mall ⓘ
Shibuya Mark City self-linksurface differs ⓘ
surface form: Shibuya Excel Hotel Tokyu

West Mall ⓘ
bus terminal access area ⓘ
dining mall ⓘ
hotel ⓘ
office building ⓘ
office tower ⓘ
shopping mall ⓘ
locatedIn Japan ⓘ
Shibuya ⓘ
Tokyo ⓘ
near Shibuya 109 ⓘ
Shibuya Hikarie ⓘ
Shibuya Crossing ⓘ
surface form: Shibuya Scramble Crossing
openingDate 2000 ⓘ
April 7, 2000 ⓘ
operator Tokyu Corporation ⓘ
ownedBy Tokyu Corporation ⓘ
region Kantō region ⓘ
serves commuters ⓘ
shoppers ⓘ
tourists ⓘ
transportConnection JR East lines at Shibuya Station ⓘ
Keio Inokashira Line at Shibuya Station ⓘ
Tokyo Metro lines at Shibuya Station ⓘ
Tokyu lines at Shibuya Station ⓘ

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: Shibuya Mark City
Description of subject: Shibuya Mark City is a large commercial complex in Tokyo’s Shibuya district, featuring offices, a hotel, and a shopping and dining mall directly connected to Shibuya Station.

Referenced by (3)

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

Shibuya Station → hasNearbyLandmark → Shibuya Mark City ⓘ
Shibuya Mark City → hasPart → Shibuya Mark City self-linksurface differs ⓘ
this entity surface form: Shibuya Excel Hotel Tokyu
Shibuya-ku → contains → Shibuya Mark City ⓘ