Triple

T10694495
Position Surface form Disambiguated ID Type / Status
Subject Brooklyn Borough Hall subway station E252097 entity
Predicate hasEntranceOn P1974 FINISHED
Object Montague Street E275734 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: Montague Street | Statement: [Brooklyn Borough Hall subway station, hasEntranceOn, Montague Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montague Street
Context triple: [Brooklyn Borough Hall subway station, hasEntranceOn, Montague Street]
  • A. Montague Street chosen
    Montague Street is a prominent commercial and residential thoroughfare in Brooklyn Heights, known for its shops, restaurants, and historic brownstone architecture.
  • B. Montague Street
    Montague Street is a historic street in central London, known for its Georgian architecture and proximity to the British Museum in the Bloomsbury district.
  • C. Magdalen Street
    Magdalen Street is a central street in Oxford, England, known for its shops, historic buildings, and proximity to major city landmarks.
  • D. Abingdon Street
    Abingdon Street is a road in Westminster, London, running near the Houses of Parliament and forming part of the area around Parliament Square.
  • E. Northampton Street
    Northampton Street is a road in central Cambridge, England, situated near the River Cam and several historic university colleges.
  • 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_69d6aa5bd7c08190a816e733b4045c23 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fd39c3788190bb7cd0acf8b6efdd completed April 9, 2026, 1:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69fd3cf630a8819094455fc45a815b83 completed May 8, 2026, 1:31 a.m.
Created at: April 8, 2026, 9:11 p.m.