Triple

T11354059
Position Surface form Disambiguated ID Type / Status
Subject Ryerson University campus E268906 entity
Predicate adjacentTo P224 FINISHED
Object Church Street E692563 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: Church Street | Statement: [Ryerson University campus, adjacentTo, Church Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Church Street
Context triple: [Ryerson University campus, adjacentTo, 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 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.
  • 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.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea404e0c8190befe349b45918b38 completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff99742618819083bba63ce9f27895 completed May 9, 2026, 8:30 p.m.
Created at: April 8, 2026, 9:33 p.m.