Triple

T3483270
Position Surface form Disambiguated ID Type / Status
Subject Emily Warren Roebling E73544 entity
Predicate residence P75 FINISHED
Object Brooklyn, New York E5446 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: Brooklyn, New York | Statement: [Emily Warren Roebling, residence, Brooklyn, New York]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brooklyn, New York
Context triple: [Emily Warren Roebling, residence, Brooklyn, New York]
  • A. Brooklyn chosen
    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.
  • B. Brooklyn
    Brooklyn is a small inner-ring suburb of Cleveland located in Cuyahoga County, Ohio.
  • C. Brooklyn
    Brooklyn is a residential suburb within the Milnerton area of Cape Town, South Africa.
  • D. Downtown Brooklyn
    Downtown Brooklyn is a major commercial and civic hub of Brooklyn, New York City, known for its government buildings, office towers, shopping centers, and growing residential developments.
  • E. Brownsville, Brooklyn
    Brownsville, Brooklyn is a residential neighborhood in eastern Brooklyn, New York City, historically known for its dense public housing, working-class population, and significant role in the city's African American and Caribbean communities.
  • 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_69ad85b3c9b08190857cae74c7f36da9 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb781e9c8190810fdd814f506127 completed March 8, 2026, 6:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf28e228608190a531da6024803e1b completed March 21, 2026, 11:25 p.m.
Created at: March 8, 2026, 3:17 p.m.