Triple

T15855806
Position Surface form Disambiguated ID Type / Status
Subject Wells, New York E384451 entity
Predicate adjacentTo P224 FINISHED
Object Arietta, New York E361290 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: Arietta, New York | Statement: [Wells, New York, adjacentTo, Arietta, New York]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arietta, New York
Context triple: [Wells, New York, adjacentTo, Arietta, New York]
  • A. Arietta, New York chosen
    Arietta, New York is a small, rural town located within the Adirondack Park in Hamilton County, known for its forests, lakes, and outdoor recreation opportunities.
  • 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. Fonda, New York
    Fonda, New York is a small village in the Mohawk Valley that serves as the administrative and governmental center of Montgomery County.
  • D. Tivoli, New York
    Tivoli, New York is a small historic village on the eastern bank of the Hudson River in Dutchess County, known for its rural charm and proximity to Bard College.
  • E. Henrietta, New York
    Henrietta, New York is a suburban town near Rochester known for hosting the Rochester Institute of Technology and a large concentration of retail and commercial development.
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e14cb08bd081908af2120eb2925441 completed April 16, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01232399008190b23dfaec237563ef completed May 11, 2026, 12:30 a.m.
Created at: April 10, 2026, 4:50 a.m.