Triple

T23917
Position Surface form Disambiguated ID Type / Status
Subject New York City Subway E474 entity
Predicate locatedIn P40 FINISHED
Object New York City E40 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: New York City | Statement: [New York City Subway, locatedIn, New York City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: New York City
Context triple: [New York City Subway, locatedIn, New York City]
  • A. New York City chosen
    New York City is the largest city in the United States, a global center of finance, culture, media, and technology.
  • B. New York
    New York is a populous and economically significant U.S. state known for New York City, a global center of finance, culture, and media.
  • C. Manhattan
    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.
  • 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. Jersey City
    Jersey City is a major New Jersey city across the Hudson River from Lower Manhattan, known for its waterfront skyline, diverse communities, and role as a key financial and transportation hub in the New York metropolitan area.
  • 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_69a243b4ac2c8190b93c303df797b7b2 completed Feb. 28, 2026, 1:24 a.m.
NER Named-entity recognition batch_69a2466bdc7c81908bcd14b53a99cf4f completed Feb. 28, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69a4034604608190b103db2cf0239a5f completed March 1, 2026, 9:13 a.m.
Created at: Feb. 28, 2026, 1:34 a.m.