Triple

T11798139
Position Surface form Disambiguated ID Type / Status
Subject Flatiron Building (Gooderham Building) E280554 entity
Predicate locatedAtIntersection P1018 FINISHED
Object Church Street
Church Street is a major north–south thoroughfare in downtown Toronto, Canada, known for its historic architecture and vibrant Church-Wellesley Village LGBTQ+ neighborhood.
 E692563 NE FINISHED

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.

NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Church Street
Context triple: [Flatiron Building (Gooderham Building), locatedAtIntersection, Church Street]
  • A. Church Street
    Church Street is a major thoroughfare in downtown New Haven, Connecticut, known for bordering the historic New Haven Green and hosting civic and commercial buildings.
  • B. Church Street
    Church Street is a central thoroughfare in Sheffield, England, known for housing the historic Sheffield Cathedral and other key city-centre buildings.
  • C. Church Street
    Church Street is a major thoroughfare in Pretoria, South Africa, historically significant as one of the city’s central and longest streets.
  • D. Church Street
    Church Street is a major north–south thoroughfare in downtown Toronto, Canada, known for running through the city's historic Church and Wellesley LGBTQ+ neighborhood.
  • E. Church Street
    Church Street is a major north–south thoroughfare in Lower Manhattan, New York City, running through the Financial District and passing notable landmarks such as the World Trade Center site.
  • 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: Church Street
Triple: [Flatiron Building (Gooderham Building), locatedAtIntersection, Church Street]
Generated description
Church Street is a major north–south thoroughfare in downtown Toronto, Canada, known for its historic architecture and vibrant Church-Wellesley Village LGBTQ+ neighborhood.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Church Street
Target entity description: Church Street is a major north–south thoroughfare in downtown Toronto, Canada, known for its historic architecture and vibrant Church-Wellesley Village LGBTQ+ neighborhood.
  • A. Church Street chosen
    Church Street is a major north–south thoroughfare in downtown Toronto, Canada, known for running through the city's historic Church and Wellesley LGBTQ+ neighborhood.
  • B. Church Street
    Church Street is a major thoroughfare in downtown New Haven, Connecticut, known for bordering the historic New Haven Green and hosting civic and commercial buildings.
  • C. Church Street
    Church Street is a primary thoroughfare running through Uptown Charlotte, North Carolina, known for serving the city’s central business and entertainment district.
  • D. Church Street
    Church Street is a central thoroughfare in Sheffield, England, known for housing the historic Sheffield Cathedral and other key city-centre buildings.
  • E. Church Street
    Church Street is a major north–south thoroughfare in Lower Manhattan, New York City, running through the Financial District and passing notable landmarks such as the World Trade Center site.
  • F. None of above.

Provenance (4 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a037c1792a081909cce0eb4cd1d6870 completed May 12, 2026, 7:14 p.m.
NEDg Description generation batch_6a037ca6f5888190b0ed34777aae862f completed May 12, 2026, 7:16 p.m.
NED2 Entity disambiguation (via description) batch_6a037d319be48190b01a1b8d1f239078 completed May 12, 2026, 7:19 p.m.
Created at: April 8, 2026, 9:42 p.m.