Triple

T31547005
Position Surface form Disambiguated ID Type / Status
Subject Philadelphia Office of Transportation, Infrastructure, and Sustainability E804895 entity
Predicate followsPolicy P172 FINISHED
Object Vision Zero Philadelphia Action Plan
The Vision Zero Philadelphia Action Plan is the city’s comprehensive strategy to eliminate traffic deaths and serious injuries through safer street design, enforcement, and education initiatives.
 E1967869 NE FINISHED

How this triple was built (2 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 Philadelphia Action Plan | Statement: [Philadelphia Office of Transportation, Infrastructure, and Sustainability, followsPolicy, Vision Zero Philadelphia Action Plan]
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 Philadelphia Action Plan
Triple: [Philadelphia Office of Transportation, Infrastructure, and Sustainability, followsPolicy, Vision Zero Philadelphia Action Plan]
Generated description
The Vision Zero Philadelphia Action Plan is the city’s comprehensive strategy to eliminate traffic deaths and serious injuries through safer street design, enforcement, and education initiatives.

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_69f348d11a048190a65eb8384a3754ac completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6a7a910a481909c856c9e72b8904d completed May 3, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2b2d8c27088190b2f7a288d0393882 completed June 11, 2026, 9:50 p.m.
NEDg Description generation batch_6a2b2f5054b4819086f23e307e2e0a47 completed June 11, 2026, 9:57 p.m.
NED2 Entity disambiguation (via description) batch_6a2b2fd806b88190805273b42e62a52f completed June 11, 2026, 9:59 p.m.
Created at: April 30, 2026, 10:09 p.m.