Triple

T21375643
Position Surface form Disambiguated ID Type / Status
Subject Dryden, New York E527193 entity
Predicate adjacentTo P224 FINISHED
Object Virgil, New York NE NERFINISHED

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: Virgil, New York | Statement: [Dryden, New York, adjacentTo, Virgil, New York]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Virgil, New York
Context triple: [Dryden, New York, adjacentTo, Virgil, New York]
  • A. Virgil, New York chosen
    Virgil, New York is a small rural town in Cortland County known for its scenic landscapes and outdoor recreation opportunities in central New York State.
  • B. Aurelius, New York
    Aurelius, New York is a small town in Cayuga County in the Finger Lakes region of central New York State.
  • C. Cicero, New York
    Cicero, New York is a suburban town in Onondaga County, just north of Syracuse, known for its residential communities and recreational access to nearby Oneida Lake.
  • D. Scipio, New York
    Scipio, New York is a rural town in Cayuga County in the Finger Lakes region, known for its agricultural landscape and proximity to Owasco and Cayuga Lakes.
  • E. Minerva, New York
    Minerva, New York is a small rural town in the Adirondack region known for its forests, lakes, and outdoor recreation opportunities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b51e80808190ba5cb05667af02a9 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69ee5bb031988190ae587730a2131a50 completed April 26, 2026, 6:38 p.m.
Created at: April 16, 2026, 5:11 p.m.