Tabata

E730542
district neighborhood

Tabata is a residential neighborhood in Kita ward, northern Tokyo, known for its quiet streets and convenient access to central Tokyo.

Try in SPARQL Jump to: Surface forms Statements Referenced by

All labels observed (1)

Label Occurrences
Tabata canonical 1

Statements (33)

Predicate Object
instanceOf district ⓘ
neighborhood ⓘ
accessTo central Tokyo business districts ⓘ
administrativeTerritory Kita City NERFINISHED ⓘ
belongsTo Tokyo metropolitan area NERFINISHED ⓘ
country Japan ⓘ
governedBy Kita City Office NERFINISHED ⓘ
hasAreaCode 03 ⓘ
hasFeature local shopping streets ⓘ
low-rise housing ⓘ
small parks ⓘ
hasLandUse commercial (around station) ⓘ
residential ⓘ
hasPostalCode 114-0014 (partly) ⓘ
hasTransportConnection Tabata Station NERFINISHED ⓘ
knownFor convenient access to central Tokyo ⓘ
quiet residential streets ⓘ
languageUsed Japanese ⓘ
locatedIn Honshu ⓘ
Kantō region ⓘ
Kita, Tokyo NERFINISHED ⓘ
Tokyo ⓘ
northern Tokyo ⓘ
locatedNear Komagome NERFINISHED ⓘ
Nishi-Nippori NERFINISHED ⓘ
Oji NERFINISHED ⓘ
Sugamo NERFINISHED ⓘ
municipality Kita, Tokyo NERFINISHED ⓘ
partOf Kita ward NERFINISHED ⓘ
railwayServedBy JR Keihin-Tōhoku Line NERFINISHED ⓘ
JR Yamanote Line NERFINISHED ⓘ
timezone Japan Standard Time NERFINISHED ⓘ
UTCoffset +09:00 ⓘ

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: Tabata
Description of subject: Tabata is a residential neighborhood in Kita ward, northern Tokyo, known for its quiet streets and convenient access to central Tokyo.

Referenced by (1)

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

Kita → hasResidentialArea → Tabata ⓘ
subject surface form: Kita, Tokyo