Triple

T2349196
Position Surface form Disambiguated ID Type / Status
Subject Howard Street (Baltimore) E47405 entity
Predicate partOf P40 FINISHED
Object Baltimore street network
The Baltimore street network is the interconnected system of roads, streets, and thoroughfares that structure transportation, navigation, and urban layout within the city of Baltimore, Maryland.
E259074 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: Baltimore street network | Statement: [Howard Street (Baltimore), partOf, Baltimore street network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baltimore street network
Context triple: [Howard Street (Baltimore), partOf, Baltimore street network]
  • A. Portland street network
    The Portland street network is the interconnected system of roads, avenues, and transit corridors that structure transportation and urban movement throughout Portland, Oregon.
  • B. Baltimore–Washington metropolitan area transportation network
    The Baltimore–Washington metropolitan area transportation network is an integrated system of airports, highways, rail lines, and public transit that connects and supports travel and commerce between the Baltimore and Washington, D.C. regions.
  • C. San Francisco street network
    The San Francisco street network is the interconnected system of roads, avenues, and highways that structure transportation and urban movement throughout the city of San Francisco.
  • D. Fairfax County road network
    The Fairfax County road network is the extensive system of highways, arterial roads, and local streets that supports daily transportation and regional connectivity within Fairfax County, Virginia.
  • E. Washington, D.C. arterial road network
    The Washington, D.C. arterial road network is the system of major streets and avenues that carries high-volume traffic across the U.S. capital, linking its neighborhoods, downtown core, and regional highways.
  • 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: Baltimore street network
Triple: [Howard Street (Baltimore), partOf, Baltimore street network]
Generated description
The Baltimore street network is the interconnected system of roads, streets, and thoroughfares that structure transportation, navigation, and urban layout within the city of Baltimore, Maryland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Baltimore street network
Target entity description: The Baltimore street network is the interconnected system of roads, streets, and thoroughfares that structure transportation, navigation, and urban layout within the city of Baltimore, Maryland.
  • A. Portland street network
    The Portland street network is the interconnected system of roads, avenues, and transit corridors that structure transportation and urban movement throughout Portland, Oregon.
  • B. Baltimore–Washington metropolitan area transportation network
    The Baltimore–Washington metropolitan area transportation network is an integrated system of airports, highways, rail lines, and public transit that connects and supports travel and commerce between the Baltimore and Washington, D.C. regions.
  • C. San Francisco street network
    The San Francisco street network is the interconnected system of roads, avenues, and highways that structure transportation and urban movement throughout the city of San Francisco.
  • D. Fairfax County road network
    The Fairfax County road network is the extensive system of highways, arterial roads, and local streets that supports daily transportation and regional connectivity within Fairfax County, Virginia.
  • E. Washington, D.C. arterial road network
    The Washington, D.C. arterial road network is the system of major streets and avenues that carries high-volume traffic across the U.S. capital, linking its neighborhoods, downtown core, and regional highways.
  • 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_69a88a1b678c8190bce986922ba60ce0 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc6cc90d08190824a90e190d1b017 completed March 7, 2026, 6:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae962cb7988190bb2bb23191acf6ae completed March 9, 2026, 9:43 a.m.
NEDg Description generation batch_69ae9a035b70819096f2d556fb14313b completed March 9, 2026, 9:59 a.m.
NED2 Entity disambiguation (via description) batch_69ae9af22c688190b1c8bb169f5658ca completed March 9, 2026, 10:03 a.m.
Created at: March 4, 2026, 7:54 p.m.