Triple

T17481198
Position Surface form Disambiguated ID Type / Status
Subject Queen Street, Salisbury E425662 entity
Predicate partOf P40 FINISHED
Object Salisbury street network NE NERFINISHED

How this triple was built (3 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: Salisbury street network | Statement: [Queen Street, Salisbury, partOf, Salisbury street network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salisbury street network
Context triple: [Queen Street, Salisbury, partOf, Salisbury street network]
  • A. City of London street network
    The City of London street network is the dense, historic web of roads and lanes at the core of London’s financial district, characterized by medieval street patterns interwoven with modern thoroughfares.
  • B. Drayton Street
    Drayton Street is a major north–south thoroughfare in Savannah, Georgia, running along the eastern edge of the historic Forsyth Park.
  • C. Dashilan West Street
    Dashilan West Street is a historic commercial street in Beijing’s Dashilar area, known for its traditional architecture, old shops, and vibrant local culture.
  • D. Salisbury Street
    Salisbury Street is a central thoroughfare in downtown Raleigh, North Carolina, known for running through the government district and connecting key civic and cultural landmarks.
  • E. Sansome Street
    Sansome Street is a major north–south thoroughfare in San Francisco’s Financial District, lined with office towers, financial institutions, and historic commercial buildings.
  • 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: Salisbury street network
Target entity description: The Salisbury street network is the interconnected system of roads and thoroughfares that structure and support transportation and access throughout the city of Salisbury.
  • A. City of London street network
    The City of London street network is the dense, historic web of roads and lanes at the core of London’s financial district, characterized by medieval street patterns interwoven with modern thoroughfares.
  • B. Drayton Street
    Drayton Street is a major north–south thoroughfare in Savannah, Georgia, running along the eastern edge of the historic Forsyth Park.
  • C. Dashilan West Street
    Dashilan West Street is a historic commercial street in Beijing’s Dashilar area, known for its traditional architecture, old shops, and vibrant local culture.
  • D. Salisbury Street
    Salisbury Street is a central thoroughfare in downtown Raleigh, North Carolina, known for running through the government district and connecting key civic and cultural landmarks.
  • E. Sansome Street
    Sansome Street is a major north–south thoroughfare in San Francisco’s Financial District, lined with office towers, financial institutions, and historic commercial buildings.
  • F. None of above. chosen

Provenance (2 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_69d889dccf7481909264a1844a2e9100 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451bfd75481908c20bc2c1cbff593 completed April 19, 2026, 3:53 a.m.
Created at: April 10, 2026, 5:48 a.m.