Triple

T4474955
Position Surface form Disambiguated ID Type / Status
Subject Fremont, Ohio E99985 entity
Predicate county P75 FINISHED
Object Sandusky County E229346 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: Sandusky County | Statement: [Fremont, Ohio, county, Sandusky County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sandusky County
Context triple: [Fremont, Ohio, county, Sandusky County]
  • A. Sandusky County, Ohio chosen
    Sandusky County, Ohio is a county in northwestern Ohio known for its county seat of Fremont and its location along the Sandusky River near Lake Erie.
  • B. Antrim County
    Antrim County is a rural county in the northwestern Lower Peninsula of Michigan, known for its lakes, forests, and outdoor recreation.
  • C. Lucas County
    Lucas County is a county in northwestern Ohio that includes the city of Toledo as its county seat and largest urban center.
  • D. Pike County, Ohio
    Pike County, Ohio is a rural county in southern Ohio known for its small communities, Appalachian landscape, and history tied to early American frontier exploration.
  • E. Auglaize County, Ohio
    Auglaize County, Ohio is a county in western Ohio known for its agricultural communities, small industrial cities, and the county seat of Wapakoneta.
  • 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_69b34553cbe48190afa8ac1cac285b86 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b356bc4a248190b4a031f07f39b5bd completed March 13, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6287f076081909bca3643ac489fcf completed March 15, 2026, 3:33 a.m.
Created at: March 12, 2026, 11:35 p.m.