Triple

T386344
Position Surface form Disambiguated ID Type / Status
Subject Manhattan E8787 entity
Predicate hasNickname P39 FINISHED
Object The Borough of Manhattan E116346 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: The Borough of Manhattan | Statement: [Manhattan, hasNickname, The Borough of Manhattan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Borough of Manhattan
Context triple: [Manhattan, hasNickname, The 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. borough of Manhattan chosen
    The borough of Manhattan is the densely populated urban core of New York City, known as a global center for finance, culture, and media.
  • C. 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.
  • D. Astoria, Queens
    Astoria, Queens is a diverse New York City neighborhood known for its historic Greek American community, vibrant food scene, and mix of residential and cultural attractions.
  • E. Staten Island and Manhattan
    Staten Island and Manhattan are two of New York City’s five boroughs, connected across New York Harbor and contrasting sharply in density, skyline, and urban character.
  • 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_69a2e7f47dd08190a4e294ccbbe46cd4 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ec447b5481908a5a084787b44ced completed Feb. 28, 2026, 1:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac2a016f68819098d8fa3ec0f6adfa completed March 7, 2026, 1:37 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.