Triple

T9543415
Position Surface form Disambiguated ID Type / Status
Subject Emmet Street (major portion) E230218 entity
Predicate partOf P40 FINISHED
Object street network of Charlottesville, Virginia
The street network of Charlottesville, Virginia is the interconnected system of roads and thoroughfares that organizes transportation, access, and urban layout throughout the city.
E805807 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: street network of Charlottesville, Virginia | Statement: [Emmet Street (major portion), partOf, street network of Charlottesville, Virginia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: street network of Charlottesville, Virginia
Context triple: [Emmet Street (major portion), partOf, street network of Charlottesville, Virginia]
  • A. 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.
  • B. 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.
  • C. Philadelphia street network
    The Philadelphia street network is the interconnected system of roads, avenues, and thoroughfares that structure transportation and urban layout across the city of Philadelphia and its surrounding areas.
  • D. 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.
  • E. Boston street network
    The Boston street network is the complex, historically evolved system of roads and pathways in Boston, Massachusetts, known for its irregular layout, dense urban fabric, and mix of colonial-era streets and modern thoroughfares.
  • 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: street network of Charlottesville, Virginia
Triple: [Emmet Street (major portion), partOf, street network of Charlottesville, Virginia]
Generated description
The street network of Charlottesville, Virginia is the interconnected system of roads and thoroughfares that organizes transportation, access, and urban layout throughout the city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: street network of Charlottesville, Virginia
Target entity description: The street network of Charlottesville, Virginia is the interconnected system of roads and thoroughfares that organizes transportation, access, and urban layout throughout the city.
  • A. 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.
  • B. 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.
  • C. Philadelphia street network
    The Philadelphia street network is the interconnected system of roads, avenues, and thoroughfares that structure transportation and urban layout across the city of Philadelphia and its surrounding areas.
  • D. 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.
  • E. Boston street network
    The Boston street network is the complex, historically evolved system of roads and pathways in Boston, Massachusetts, known for its irregular layout, dense urban fabric, and mix of colonial-era streets and modern thoroughfares.
  • 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_69ca847c70b8819088a0a0bad64a50d6 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd98e9be048190bf1f01884ff7c362 completed April 1, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69d14c6cd93c8190ac197afda780ce78 completed April 4, 2026, 5:37 p.m.
NEDg Description generation batch_69d14d44b7f08190b66fecb315b37535 completed April 4, 2026, 5:41 p.m.
NED2 Entity disambiguation (via description) batch_69d14e0823e881908ed723d20f14789b completed April 4, 2026, 5:44 p.m.
Created at: March 30, 2026, 8:01 p.m.