Triple

T10699995
Position Surface form Disambiguated ID Type / Status
Subject Western Ohio E252247 entity
Predicate containsCity P294 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: [Western Ohio, containsCity, Bellefontaine, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bellefontaine, Ohio
Context triple: [Western Ohio, containsCity, 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. Burgoon, Ohio
    Burgoon, Ohio is a small unincorporated community located in Sandusky County in the northwestern part of the state.
  • C. Lockbourne, Ohio
    Lockbourne, Ohio is a small village in central Ohio that is part of the Columbus metropolitan area.
  • D. Boone, Ohio
    Boone, Ohio is a fictional small town in Ohio that serves as the primary setting for the film "Nick of Time."
  • 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 (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_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fd8abd7c81909c274aa1699a3695 completed April 9, 2026, 1:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69dbb703b1ec8190b11fbb381c929a90 completed April 12, 2026, 3:15 p.m.
Created at: April 8, 2026, 9:12 p.m.