Triple

T16574145
Position Surface form Disambiguated ID Type / Status
Subject Downtown New Haven E402665 entity
Predicate contains P35 FINISHED
Object Church Street NE NERFINISHED

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: [Downtown New Haven, contains, Church Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Church Street
Context triple: [Downtown New Haven, contains, Church Street]
  • A. Church Street chosen
    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 popular commercial and cultural hub in central Bengaluru known for its bookstores, cafes, pubs, and vibrant nightlife.
  • D. Church Street
    Church Street is a major thoroughfare in Pretoria, South Africa, historically significant as one of the city’s central and longest streets.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d88387363c8190a97a0c942130de97 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3595bbbbc8190b023f4872908c031 completed April 18, 2026, 10:13 a.m.
Created at: April 10, 2026, 5:16 a.m.