Triple

T104248
Position Surface form Disambiguated ID Type / Status
Subject Turtle Bay E2105 entity
Predicate partOf P40 FINISHED
Object Borough of Manhattan E8787 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: Borough of Manhattan | Statement: [Turtle Bay, partOf, Borough of Manhattan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Borough of Manhattan
Context triple: [Turtle Bay, partOf, Borough of Manhattan]
  • A. Manhattan District
    Manhattan District was the U.S. Army Corps of Engineers unit that oversaw the top-secret World War II project to develop the first atomic bombs.
  • 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. 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.
  • D. Manhattan chosen
    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.
  • 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_69a24e0a5b7c81908d52da08c60dabc4 completed Feb. 28, 2026, 2:08 a.m.
NER Named-entity recognition batch_69a256aaed108190ba12e36364d30ede completed Feb. 28, 2026, 2:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69a6373911408190adfe7fc909c93658 completed March 3, 2026, 1:19 a.m.
Created at: Feb. 28, 2026, 2:12 a.m.