Triple

T5100529
Position Surface form Disambiguated ID Type / Status
Subject Merrick E114969 entity
Predicate adjacentTo P224 FINISHED
Object Bellmore E154411 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: Bellmore | Statement: [Merrick, adjacentTo, Bellmore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bellmore
Context triple: [Merrick, adjacentTo, Bellmore]
  • A. Bellmore chosen
    Bellmore is a suburban hamlet on Long Island, New York, known as a residential community within Nassau County with commuter rail access to New York City.
  • B. Lindenhurst
    Lindenhurst is a suburban village on Long Island in Suffolk County, New York, known as a residential community within the greater New York City metropolitan area.
  • C. Woodhaven
    Woodhaven is a residential neighborhood in the borough of Queens, New York City, known for its diverse community and proximity to major transit lines and Forest Park.
  • D. Manhasset
    Manhasset is an affluent suburban hamlet in Nassau County, New York, known for its upscale residential neighborhoods and high-end shopping districts.
  • E. Hempstead
    Hempstead is a residential suburb and local community within the town of Gillingham in Kent, England.
  • 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_69bd443fc49c819089629c00e311310c completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd758381dc8190ac491788d27ab8e0 completed March 20, 2026, 4:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69beba8977f481908b0d55a9cd28d492 completed March 21, 2026, 3:34 p.m.
Created at: March 20, 2026, 1:40 p.m.