Triple

T4465082
Position Surface form Disambiguated ID Type / Status
Subject Mike Spano E98356 entity
Predicate workLocation P7 FINISHED
Object Yonkers, New York E17729 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: Yonkers, New York | Statement: [Mike Spano, workLocation, Yonkers, New York]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yonkers, New York
Context triple: [Mike Spano, workLocation, Yonkers, New York]
  • A. Yonkers, New York chosen
    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.
  • B. Yonkers and New Rochelle
    Yonkers and New Rochelle are neighboring cities in Westchester County, New York, forming part of the inner suburban area just north of New York City.
  • C. Newark, New York
    Newark, New York is a small village in Wayne County known as a local commercial center along the Erie Canal in the Finger Lakes region.
  • 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. Downtown Yonkers
    Downtown Yonkers is the central urban and commercial district of Yonkers, New York, known for its revitalized waterfront, historic architecture, and mixed-use residential and retail developments.
  • 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_69b3454a7c608190944f5455c8031d73 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35697937c8190b91f72d9e4f945f6 completed March 13, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69be921df91881909c257fbd3c46073c completed March 21, 2026, 12:42 p.m.
Created at: March 12, 2026, 11:34 p.m.