Triple

T2111043
Position Surface form Disambiguated ID Type / Status
Subject New Croton Aqueduct E42501 entity
Predicate passesThrough P225 FINISHED
Object Bronx, New York E8102 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: Bronx, New York | Statement: [New Croton Aqueduct, passesThrough, Bronx, New York]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bronx, New York
Context triple: [New Croton Aqueduct, passesThrough, Bronx, New York]
  • A. The Bronx chosen
    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.
  • B. 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.
  • C. Brooklyn
    Brooklyn is a small inner-ring suburb of Cleveland located in Cuyahoga County, Ohio.
  • D. Brooklyn
    Brooklyn is a residential suburb within the Milnerton area of Cape Town, South Africa.
  • E. Yonkers, New York
    Yonkers, New York is a major suburban city just north of New York City, known for its historic waterfront, diverse neighborhoods, and role as one of the largest cities in the state.
  • 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_69a8871040f08190aac2e2d0ab6b47ad completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abbb024ce88190a30e1320e53b82bc completed March 7, 2026, 5:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69b5e4aa62888190a5ef7a617b5ace8d completed March 14, 2026, 10:43 p.m.
Created at: March 4, 2026, 7:43 p.m.