Triple

T6016687
Position Surface form Disambiguated ID Type / Status
Subject Southwestern Ontario E133964 entity
Predicate containsSubregion P285 FINISHED
Object Huron County E773826 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: Huron County | Statement: [Southwestern Ontario, containsSubregion, Huron County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huron County
Context triple: [Southwestern Ontario, containsSubregion, Huron County]
  • A. Huron County chosen
    Huron County is a predominantly rural county in southwestern Ontario, Canada, known for its agriculture, small towns, and Lake Huron shoreline.
  • B. Ottawa County
    Ottawa County is a county in western Michigan known for its Lake Michigan shoreline, agricultural communities, and cities such as Holland and Grand Haven.
  • C. Huron County, Michigan
    Huron County, Michigan is a rural county located in the Thumb region of Michigan’s Lower Peninsula, known for its agricultural communities and Lake Huron shoreline.
  • D. Otsego County
    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.
  • E. Waushara County
    Waushara County is a rural county in central Wisconsin known for its lakes, forests, and outdoor recreation.
  • 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_69c0087361a48190905c6b55969852b8 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04f82dd688190ad8882d8fb547cb5 completed March 22, 2026, 8:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69d05422b25c819098189ac202c20123 completed April 3, 2026, 11:58 p.m.
Created at: March 22, 2026, 4:06 p.m.