Triple

T11677877
Position Surface form Disambiguated ID Type / Status
Subject Seattle Department of Transportation E277538 entity
Predicate appliesPolicy P1051 FINISHED
Object Vision Zero safety policy in Seattle
The Vision Zero safety policy in Seattle is a citywide initiative aimed at eliminating traffic deaths and serious injuries through street design changes, lower speed limits, and data-driven safety improvements.
E940479 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Vision Zero safety policy in Seattle | Statement: [Seattle Department of Transportation, appliesPolicy, Vision Zero safety policy in Seattle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vision Zero safety policy in Seattle
Context triple: [Seattle Department of Transportation, appliesPolicy, Vision Zero safety policy in Seattle]
  • A. New York City Vision Zero traffic safety program
    The New York City Vision Zero traffic safety program is a comprehensive city initiative aimed at eliminating traffic deaths and serious injuries through street redesigns, enforcement, and public education.
  • B. Vision Zero San Francisco
    Vision Zero San Francisco is the city’s comprehensive traffic safety initiative aimed at eliminating all traffic deaths and severe injuries through street design, policy changes, and public education.
  • C. Bloomberg Initiative for Global Road Safety
    The Bloomberg Initiative for Global Road Safety is a philanthropic program that supports low- and middle-income countries in implementing evidence-based policies and interventions to reduce traffic deaths and injuries worldwide.
  • D. United Nations Decade of Action for Road Safety
    The United Nations Decade of Action for Road Safety is a global initiative launched by the UN to significantly reduce road traffic deaths and injuries through coordinated international action and improved road safety measures.
  • E. Oslo sustainable mobility policy
    Oslo sustainable mobility policy is the city’s comprehensive strategy to reduce car dependency and emissions by prioritizing public transport, cycling, and walking, supported by measures such as an extensive tram network, congestion charges, and car-free zones.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Vision Zero safety policy in Seattle
Triple: [Seattle Department of Transportation, appliesPolicy, Vision Zero safety policy in Seattle]
Generated description
The Vision Zero safety policy in Seattle is a citywide initiative aimed at eliminating traffic deaths and serious injuries through street design changes, lower speed limits, and data-driven safety improvements.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vision Zero safety policy in Seattle
Target entity description: The Vision Zero safety policy in Seattle is a citywide initiative aimed at eliminating traffic deaths and serious injuries through street design changes, lower speed limits, and data-driven safety improvements.
  • A. New York City Vision Zero traffic safety program
    The New York City Vision Zero traffic safety program is a comprehensive city initiative aimed at eliminating traffic deaths and serious injuries through street redesigns, enforcement, and public education.
  • B. Vision Zero San Francisco
    Vision Zero San Francisco is the city’s comprehensive traffic safety initiative aimed at eliminating all traffic deaths and severe injuries through street design, policy changes, and public education.
  • C. Bloomberg Initiative for Global Road Safety
    The Bloomberg Initiative for Global Road Safety is a philanthropic program that supports low- and middle-income countries in implementing evidence-based policies and interventions to reduce traffic deaths and injuries worldwide.
  • D. United Nations Decade of Action for Road Safety
    The United Nations Decade of Action for Road Safety is a global initiative launched by the UN to significantly reduce road traffic deaths and injuries through coordinated international action and improved road safety measures.
  • E. Oslo sustainable mobility policy
    Oslo sustainable mobility policy is the city’s comprehensive strategy to reduce car dependency and emissions by prioritizing public transport, cycling, and walking, supported by measures such as an extensive tram network, congestion charges, and car-free zones.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6aafd0a448190b44da30af8c6c519 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a46000a48190888ad1a6ade052e3 completed April 10, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef14007dd08190b60640be9949ca26 completed April 27, 2026, 7:45 a.m.
NEDg Description generation batch_69ef3551b9a88190a9b30bcb2592628b completed April 27, 2026, 10:07 a.m.
NED2 Entity disambiguation (via description) batch_69ef51c17078819083f05036f290ce09 completed April 27, 2026, 12:08 p.m.
Created at: April 8, 2026, 9:40 p.m.