Triple

T1970763
Position Surface form Disambiguated ID Type / Status
Subject Eastern Brooklyn E42793 entity
Predicate contains P35 FINISHED
Object Starrett City E221651 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: Starrett City | Statement: [Eastern Brooklyn, contains, Starrett City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Starrett City
Context triple: [Eastern Brooklyn, contains, Starrett City]
  • A. Starrett City chosen
    Starrett City is a large residential housing complex in Brooklyn, New York, known for its high-rise apartment buildings and diverse, middle-income community.
  • B. Hunts Point
    Hunts Point is a South Bronx neighborhood in New York City known for its massive food distribution center, industrial waterfront, and long-standing environmental justice and community activism efforts.
  • C. Rowtown
    Rowtown is a residential area in Surrey, England, situated near the town of Addlestone.
  • D. Forest Hill
    Forest Hill is an affluent residential neighbourhood in midtown Toronto, Ontario, known for its upscale homes and prestigious schools.
  • E. Forest Hill
    Forest Hill is a residential district in the London Borough of Lewisham, known for its hilly streets, green spaces, and the Horniman Museum and Gardens.
  • 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_69a88711151c8190940b2572095059d7 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb3d2836c8190a35cb6d8e2dd4bdf completed March 7, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0acfce948190bb714023b6dab9ed completed March 8, 2026, 11:48 p.m.
Created at: March 4, 2026, 7:36 p.m.