Smart Location and Linkage
E482550
Smart Location and Linkage is a LEED for Neighborhood Development category that focuses on siting projects in environmentally responsible locations and connecting them to existing communities and transportation networks.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Smart Location and Linkage canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4954626 — 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: Smart Location and Linkage Context triple: [LEED for Neighborhood Development, hasCategory, Smart Location and Linkage]
-
A.
Class G: Human Mobility, Governance, Environment and Space
Class G: Human Mobility, Governance, Environment and Space is a thematic section of Academia Europaea that focuses on interdisciplinary research into human movement, political and institutional governance, environmental issues, and spatial dynamics in society.
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B.
MobilityLink
MobilityLink is the Maryland Transit Administration’s specialized paratransit service providing door-to-door transportation for people with disabilities who cannot use fixed-route transit.
-
C.
SenSys
SenSys is a premier ACM research conference focusing on embedded networked sensor systems and related technologies.
-
D.
Core Location
Core Location is an Apple framework that provides location and heading services to apps, enabling them to determine a device’s geographic position and related location data.
-
E.
Markov localization
Markov localization is a probabilistic method in robotics for estimating a robot’s position by maintaining and updating a belief distribution over all possible locations based on sensor data and motion.
- 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: Smart Location and Linkage Target entity description: Smart Location and Linkage is a LEED for Neighborhood Development category that focuses on siting projects in environmentally responsible locations and connecting them to existing communities and transportation networks.
-
A.
Class G: Human Mobility, Governance, Environment and Space
Class G: Human Mobility, Governance, Environment and Space is a thematic section of Academia Europaea that focuses on interdisciplinary research into human movement, political and institutional governance, environmental issues, and spatial dynamics in society.
-
B.
MobilityLink
MobilityLink is the Maryland Transit Administration’s specialized paratransit service providing door-to-door transportation for people with disabilities who cannot use fixed-route transit.
-
C.
SenSys
SenSys is a premier ACM research conference focusing on embedded networked sensor systems and related technologies.
-
D.
Core Location
Core Location is an Apple framework that provides location and heading services to apps, enabling them to determine a device’s geographic position and related location data.
-
E.
Markov localization
Markov localization is a probabilistic method in robotics for estimating a robot’s position by maintaining and updating a belief distribution over all possible locations based on sensor data and motion.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
LEED for Neighborhood Development category
ⓘ
sustainable development guideline ⓘ |
| administeredBy |
Green Business Certification Inc.
NERFINISHED
ⓘ
U.S. Green Building Council NERFINISHED ⓘ |
| aimsTo |
discourage sprawl
ⓘ
encourage infill development ⓘ promote compact development patterns ⓘ promote redevelopment of previously developed sites ⓘ protect sensitive lands ⓘ reduce environmental impacts of development location ⓘ support transit-oriented development ⓘ support walkable neighborhoods ⓘ |
| appliesTo |
commercial districts
ⓘ
mixed-use developments ⓘ neighborhood-scale projects ⓘ residential communities ⓘ |
| basedOn |
environmental conservation principles
ⓘ
smart growth policies ⓘ transit-oriented development concepts ⓘ |
| contributesTo | LEED for Neighborhood Development certification level NERFINISHED ⓘ |
| evaluatedBy |
access to multimodal transportation options
ⓘ
project location characteristics ⓘ proximity to existing development ⓘ |
| focusesOn |
connection to existing communities
ⓘ
connection to transportation networks ⓘ environmentally responsible project siting ⓘ |
| hasGoal |
conserve land and habitat
ⓘ
encourage use of public transit ⓘ encourage walking and bicycling ⓘ improve regional connectivity ⓘ reduce automobile dependence ⓘ support existing community infrastructure ⓘ |
| includes |
credits related to bicycle and pedestrian connectivity
ⓘ
credits related to brownfield redevelopment ⓘ credits related to preferred locations ⓘ credits related to protection of sensitive habitats ⓘ credits related to proximity to transit ⓘ credits related to reduced vehicle miles traveled ⓘ |
| partOf | LEED for Neighborhood Development NERFINISHED ⓘ |
| relatesTo |
location efficiency
ⓘ
smart growth principles ⓘ sustainable land use planning ⓘ transportation efficiency ⓘ |
| supports |
efficient infrastructure use
ⓘ
integration with existing street networks ⓘ regional planning objectives ⓘ |
| usedIn |
LEED for Neighborhood Development v1
NERFINISHED
ⓘ
LEED for Neighborhood Development v4 NERFINISHED ⓘ |
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: Smart Location and Linkage Description of subject: Smart Location and Linkage is a LEED for Neighborhood Development category that focuses on siting projects in environmentally responsible locations and connecting them to existing communities and transportation networks.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.