Triple

T2588591
Position Surface form Disambiguated ID Type / Status
Subject YMCA of Greater New York E58062 entity
Predicate operatesIn P82 FINISHED
Object Bronx E8102 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: Bronx | Statement: [YMCA of Greater New York, operatesIn, Bronx]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bronx
Context triple: [YMCA of Greater New York, operatesIn, Bronx]
  • A. The Bronx chosen
    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.
  • B. Brooklyn
    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.
  • C. Brooklyn
    Brooklyn is a small inner-ring suburb of Cleveland located in Cuyahoga County, Ohio.
  • D. Brooklyn
    Brooklyn is a residential suburb within the Milnerton area of Cape Town, South Africa.
  • E. South Bronx
    The South Bronx is a historically working-class, culturally rich area of New York City’s Bronx borough known for its pivotal role in the birth of hip-hop and its ongoing urban revitalization.
  • 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_69ab4ac019c8819094add11c46706e32 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd3fd1d608190a0cf0d12a9e6ce59 completed March 7, 2026, 7:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69bd6f6fe04c8190bffabb9225ef6c2a completed March 20, 2026, 4:01 p.m.
Created at: March 6, 2026, 9:49 p.m.