Triple

T21882357
Position Surface form Disambiguated ID Type / Status
Subject Office of the City Clerk of New York E540318 entity
Predicate boroughsServed P9555 FINISHED
Object Manhattan NE NERFINISHED

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: Manhattan | Statement: [Office of the City Clerk of New York, boroughsServed, Manhattan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manhattan
Context triple: [Office of the City Clerk of New York, boroughsServed, Manhattan]
  • A. Manhattan
    Manhattan is a village in Will County, Illinois, known as a growing suburban community southwest of Chicago.
  • B. 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.
  • C. Manhattan
    The Manhattan is a classic whiskey-based cocktail, traditionally made with rye or bourbon, sweet vermouth, and bitters, and typically served stirred and garnished with a cherry.
  • D. Manhatta
    Manhatta is a pioneering 1921 avant-garde short film that poetically depicts New York City through experimental cinematography and urban imagery.
  • E. New York City
    New York City is the largest city in the United States, a global center of finance, culture, media, and technology.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c479a98081908ce333853fdd4348 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f118e890088190aa3023c78a99a536 completed April 28, 2026, 8:30 p.m.
Created at: April 16, 2026, 7:04 p.m.