Triple

T4715813
Position Surface form Disambiguated ID Type / Status
Subject Manhattan E104635 entity
Predicate separatedFrom P243 FINISHED
Object Staten Island E5447 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: Staten Island | Statement: [Manhattan, separatedFrom, Staten Island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Staten Island
Context triple: [Manhattan, separatedFrom, Staten Island]
  • A. Staten Island chosen
    Staten Island is one of the five boroughs of New York City, known for its suburban character, extensive parkland, and the Staten Island Ferry connecting it to Manhattan.
  • B. 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.
  • C. Manhattan Island
    Manhattan Island is the densely populated island at the heart of New York City, known as a global center of finance, culture, and media.
  • D. 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.
  • E. Long Island
    Long Island is a densely populated island in southeastern New York known for its suburban communities, beaches, and proximity to New York City.
  • 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_69bd43ec4a348190bc41afae43375e71 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6408dc5c8190a8d6b1c1a3eba2df completed March 20, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69be108440108190a7dc1bbfb27ae6f5 completed March 21, 2026, 3:29 a.m.
Created at: March 20, 2026, 1:18 p.m.