Triple

T4702413
Position Surface form Disambiguated ID Type / Status
Subject Ronkonkoma E104305 entity
Predicate hasNearbyCommunity P4647 FINISHED
Object Bohemia, New York E430453 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: Bohemia, New York | Statement: [Ronkonkoma, hasNearbyCommunity, Bohemia, New York]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bohemia, New York
Context triple: [Ronkonkoma, hasNearbyCommunity, Bohemia, New York]
  • A. Bohemia, New York chosen
    Bohemia, New York is a hamlet on Long Island known for its residential character and proximity to MacArthur Airport and the Connetquot River State Park Preserve.
  • B. Austerlitz, New York
    Austerlitz, New York is a small rural town in eastern New York State near the Massachusetts border, known for its scenic landscapes and historic character.
  • C. Moravia, New York
    Moravia, New York is a small town in Cayuga County best known as the birthplace of U.S. President Millard Fillmore.
  • D. Potsdam, New York
    Potsdam, New York is a small town in St. Lawrence County known for hosting Clarkson University and SUNY Potsdam in the North Country region of the state.
  • E. Johnsburg, New York
    Johnsburg, New York is a small rural town in the Adirondack Mountains known for its outdoor recreation and scenic natural landscapes.
  • 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_69bd43e9b88481908582103dcadff3d9 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd63cec7988190b5f1d04d4f95314a completed March 20, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69be03cd8cd4819081a7988b5945067f completed March 21, 2026, 2:34 a.m.
Created at: March 20, 2026, 1:17 p.m.