Harwood Street (Dallas)
E619835
Harwood Street (Dallas) is a major north–south thoroughfare in downtown Dallas, Texas, lined with commercial buildings, offices, and cultural landmarks.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Harwood Street (Dallas) canonical | 1 |
Statements (26)
| Predicate | Object |
|---|---|
| instanceOf |
road
ⓘ
street ⓘ thoroughfare ⓘ |
| direction | north–south ⓘ |
| hasBuildingTypeAlong |
commercial buildings
ⓘ
cultural institutions ⓘ office buildings ⓘ |
| hasFunction | urban arterial road ⓘ |
| hasLandUseAlong |
commercial
ⓘ
cultural ⓘ office ⓘ |
| hasNameOrigin | Harwood NERFINISHED ⓘ |
| hasTransportationMode |
automobile
ⓘ
bicycle ⓘ bus ⓘ pedestrian ⓘ |
| isMajor | true ⓘ |
| isUrban | true ⓘ |
| locatedIn |
Dallas
NERFINISHED
ⓘ
Dallas County, Texas ⓘ Texas ⓘ United States of America ⓘ
surface form:
United States
|
| partOf | Downtown Dallas NERFINISHED ⓘ |
| servesArea | central business district of Dallas ⓘ |
| usedFor |
pedestrian access
ⓘ
vehicular traffic ⓘ |
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: Harwood Street (Dallas) Description of subject: Harwood Street (Dallas) is a major north–south thoroughfare in downtown Dallas, Texas, lined with commercial buildings, offices, and cultural landmarks.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.