Triple

T37795
Position Surface form Disambiguated ID Type / Status
Subject Brooklyn Nets E748 entity
Predicate location P40 FINISHED
Object Brooklyn E5446 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: Brooklyn | Statement: [Brooklyn Nets, location, Brooklyn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brooklyn
Context triple: [Brooklyn Nets, location, Brooklyn]
  • A. Brooklyn chosen
    Brooklyn is a populous and culturally diverse borough of New York City known for its distinct neighborhoods, arts scene, and iconic landmarks like the Brooklyn Bridge.
  • B. The Bronx
    The Bronx is one of the five boroughs of New York City, known as the birthplace of hip-hop and home to Yankee Stadium and the Bronx Zoo.
  • C. Manhattan
    Manhattan is the densely populated, iconic core borough of New York City, known for its skyscrapers, cultural institutions, and role as a global financial and media center.
  • D. Jersey City
    Jersey City is a major New Jersey city across the Hudson River from Lower Manhattan, known for its waterfront skyline, diverse communities, and role as a key financial and transportation hub in the New York metropolitan area.
  • E. Downtown Brooklyn
    Downtown Brooklyn is a major commercial and civic hub of Brooklyn, New York City, known for its government buildings, office towers, shopping centers, and growing residential developments.
  • 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_69a247a8f6c08190bac804906d62ed5a completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a24acbb90881908c9f77e74034eb52 completed Feb. 28, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69a481e765b88190a96eb2d5aa108a11 completed March 1, 2026, 6:13 p.m.
Created at: Feb. 28, 2026, 1:46 a.m.