Triple

T22783012
Position Surface form Disambiguated ID Type / Status
Subject N Line E563887 entity
Predicate connectsNeighborhood P2564 FINISHED
Object Bensonhurst 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: Bensonhurst | Statement: [N Line, connectsNeighborhood, Bensonhurst]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bensonhurst
Context triple: [N Line, connectsNeighborhood, Bensonhurst]
  • A. Bensonhurst chosen
    Bensonhurst is a residential neighborhood in southwestern Brooklyn, New York City, known for its diverse immigrant communities and vibrant Italian-American and Asian cultural presence.
  • B. Dyker Heights
    Dyker Heights is a residential neighborhood in southwest Brooklyn, New York City, known for its suburban feel and elaborate Christmas light displays.
  • C. Borough Park
    Borough Park is a football stadium in Workington, England, best known as the long-time home ground of Workington A.F.C.
  • D. Borough Park
    Borough Park is a public recreational area in Milltown, New Jersey, offering green space and outdoor amenities for local residents.
  • E. Borough Park
    Borough Park is a predominantly Orthodox Jewish neighborhood in southwestern Brooklyn known for its dense population, vibrant religious life, and extensive network of synagogues and yeshivas.
  • 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_69e2455500788190b4b33030461f3bbd completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17c2ee4e88190951afb2abe69009f completed April 29, 2026, 3:34 a.m.
Created at: April 17, 2026, 3:29 p.m.