Triple

T23453631
Position Surface form Disambiguated ID Type / Status
Subject Ashtabula County, Ohio E567855 entity
Predicate hasVillage P4011 FINISHED
Object Geneva-on-the-Lake, Ohio 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: Geneva-on-the-Lake, Ohio | Statement: [Ashtabula County, Ohio, hasVillage, Geneva-on-the-Lake, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Geneva-on-the-Lake, Ohio
Context triple: [Ashtabula County, Ohio, hasVillage, Geneva-on-the-Lake, Ohio]
  • A. Geneva-on-the-Lake, Ohio chosen
    Geneva-on-the-Lake, Ohio is a lakeside resort village on the shores of Lake Erie known for its tourism, beaches, and amusement attractions.
  • B. Bellefontaine, Ohio
    Bellefontaine, Ohio is a small city in Logan County known historically as a regional railroad hub and for having one of the first concrete-paved streets in the United States.
  • C. Lakeview, Ohio
    Lakeview, Ohio is a small village in Logan County known for its location along Indian Lake and its recreational, lake-centered community.
  • D. Bergholz, Ohio
    Bergholz, Ohio is a small village in eastern Ohio known for its rural character and location within Jefferson County.
  • E. Moraine, Ohio
    Moraine, Ohio is a small industrial city near Dayton known for its history of automobile manufacturing and assembly plants.
  • 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_69e2458b4c888190b1d7998f9862a558 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a694f19081909117bc9b10ca8a83 completed April 29, 2026, 6:35 a.m.
Created at: April 17, 2026, 5:52 p.m.