Triple

T3100516
Position Surface form Disambiguated ID Type / Status
Subject Trump Management E64704 entity
Predicate operatedIn P40 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: [Trump Management, operatedIn, Staten Island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Staten Island
Context triple: [Trump Management, operatedIn, 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_69ad857dc98481909e585dc3372e3ed5 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada26b03a081909cf187b9a8f805ce completed March 8, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2037cc5fc819084a441ebb045142b completed March 12, 2026, 12:06 a.m.
Created at: March 8, 2026, 3:03 p.m.