Triple

T11156533
Position Surface form Disambiguated ID Type / Status
Subject Auglaize County, Ohio E263924 entity
Predicate hasJurisdiction P285 FINISHED
Object New Bremen, Ohio E779145 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: New Bremen, Ohio | Statement: [Auglaize County, Ohio, hasJurisdiction, New Bremen, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: New Bremen, Ohio
Context triple: [Auglaize County, Ohio, hasJurisdiction, New Bremen, Ohio]
  • A. Bremen, Ohio
    Bremen, Ohio is a small village in Fairfield County known for its rural Midwestern character and tight-knit community.
  • B. Brunswick, Ohio
    Brunswick, Ohio is a suburban city in Medina County that forms part of the Greater Cleveland metropolitan area.
  • C. New Bremen chosen
    New Bremen is a small village in western Ohio known for its German heritage and historic canal-era roots.
  • D. Brewster, Ohio
    Brewster, Ohio is a small village in northeastern Ohio known for its railroading history and location within Stark County.
  • E. Brooklyn, Ohio
    Brooklyn, Ohio is a small suburban city located just west of Cleveland in Cuyahoga County.
  • 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_69d6aa9ccddc8190868998c8b7beb060 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8741cd48190b7cc29c6b6bc54ff completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4836718a08190b8eae87ce91bbfa0 completed April 19, 2026, 7:25 a.m.
Created at: April 8, 2026, 9:28 p.m.