Triple

T14574138
Position Surface form Disambiguated ID Type / Status
Subject Fulton Street E341993 entity
Predicate runsFrom P6767 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: [Fulton Street, runsFrom, Church Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Church Street
Context triple: [Fulton Street, runsFrom, 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 major thoroughfare in Pretoria, South Africa, historically significant as one of the city’s central and longest streets.
  • C. Church Street chosen
    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.
  • D. Church Street
    Church Street is a road in Haworth, West Yorkshire, known for being the location of the historic Haworth Parsonage associated with the Brontë family.
  • E. Church Street
    Church Street is a street in the North Laine area of Brighton, England, known for its mix of independent shops, cafes, and cultural venues.
  • 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb3f49d58819094fcd2a702e146cb completed April 14, 2026, 9:39 p.m.
Created at: April 10, 2026, 1:24 a.m.