Triple

T4238280
Position Surface form Disambiguated ID Type / Status
Subject Court Avenue E94746 entity
Predicate location P40 FINISHED
Object Bellefontaine, Ohio E94746 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: Bellefontaine, Ohio | Statement: [Court Avenue, location, Bellefontaine, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bellefontaine, Ohio
Context triple: [Court Avenue, location, Bellefontaine, Ohio]
  • A. Bellefontaine, Ohio chosen
    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.
  • B. Lockbourne, Ohio
    Lockbourne, Ohio is a small village in central Ohio that is part of the Columbus metropolitan area.
  • C. Moraine, Ohio
    Moraine, Ohio is a small industrial city near Dayton known for its history of automobile manufacturing and assembly plants.
  • D. Zanesfield, Ohio
    Zanesfield, Ohio is a small village in Logan County best known as the home of the Mad River Mountain ski and snowboard resort.
  • E. Bloomingville, Ohio
    Bloomingville, Ohio is an unincorporated community located in Huron County in the northern part of the state.
  • 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_69b34537cc6481909cd0a96acbb33ef7 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e76b6e0819084d0ce137b5ba74e completed March 12, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdacc9ef8c81909ff2a16cf68844d0 completed March 20, 2026, 8:23 p.m.
Created at: March 12, 2026, 11:05 p.m.