Triple

T11696154
Position Surface form Disambiguated ID Type / Status
Subject Madison County E277998 entity
Predicate borderedBy P224 FINISHED
Object Otsego County 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: Otsego County | Statement: [Madison County, borderedBy, Otsego County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Otsego County
Context triple: [Madison County, borderedBy, Otsego County]
  • A. Otsego County chosen
    Otsego County is a rural county in central New York State known for its historic towns, including Cooperstown, home of the National Baseball Hall of Fame and Museum.
  • B. Otsego County, Michigan
    Otsego County, Michigan is a county in the northern Lower Peninsula of Michigan known for its outdoor recreation, forests, and the city of Gaylord as its county seat.
  • C. Huron County
    Huron County is a predominantly rural county in southwestern Ontario, Canada, known for its agriculture, small towns, and Lake Huron shoreline.
  • D. Huron County
    Huron County is a county in northern Ohio known for its mix of small cities, rural communities, and agricultural land.
  • E. Alpena County
    Alpena County is a county in northeastern Michigan known for its Lake Huron shoreline, maritime history, and the city of Alpena as its county seat.
  • 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_69d6aafe02d881909900d54ad7d4af84 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a47cef60819088b7cc3a3a711e4c completed April 10, 2026, 7:19 a.m.
Created at: April 8, 2026, 9:40 p.m.