Triple

T2991347
Position Surface form Disambiguated ID Type / Status
Subject Diocese of Brooklyn E80759 entity
Predicate territory P2160 FINISHED
Object Queens E7475 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: Queens | Statement: [Diocese of Brooklyn, territory, Queens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Queens
Context triple: [Diocese of Brooklyn, territory, Queens]
  • A. Queens chosen
    Queens is one of the five boroughs of New York City, known for its ethnic diversity, major airports, and mix of residential neighborhoods and commercial centers.
  • 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–Queens
    Manhattan–Queens refers to the area encompassing the New York City boroughs of Manhattan and Queens, located across the East River from each other.
  • D. 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.
  • E. Brooklyn
    Brooklyn is a small inner-ring suburb of Cleveland located in Cuyahoga County, Ohio.
  • 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_69ad8b16c3488190b47b6aa7a59a335b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99df69d08190a0e25efb0dc8d653 completed March 8, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69be67a122ac81909843cd58f3f8f08d completed March 21, 2026, 9:40 a.m.
Created at: March 8, 2026, 2:59 p.m.