Triple

T20766651
Position Surface form Disambiguated ID Type / Status
Subject Cayuga County, New York E511114 entity
Predicate hasTown P847 FINISHED
Object Owasco, 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: Owasco, New York | Statement: [Cayuga County, New York, hasTown, Owasco, New York]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Owasco, New York
Context triple: [Cayuga County, New York, hasTown, Owasco, New York]
  • A. Owasco, New York chosen
    Owasco, New York is a small town in Cayuga County in the Finger Lakes region, known for its rural character and proximity to Owasco Lake.
  • B. Skaneateles, New York
    Skaneateles, New York is a picturesque lakeside village in central New York known for its clear blue lake, historic downtown, and upscale tourism.
  • C. Caroga, New York
    Caroga, New York is a small rural town in the southern Adirondack region known for its lakes, outdoor recreation, and seasonal tourism.
  • D. Ausable, New York
    Ausable, New York is a small town in Clinton County in the northeastern part of the state, situated near the Ausable River and close to Lake Champlain.
  • E. Oswego
    Oswego is a rapidly growing village in northeastern Illinois known for its suburban communities and proximity to the Chicago metropolitan area.
  • 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_69e0b4ca01148190ac018e57e0cab46f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c24ceab8819094e331c57abe6879 completed April 21, 2026, 12:18 a.m.
Created at: April 16, 2026, 12:36 p.m.