Triple

T5691681
Position Surface form Disambiguated ID Type / Status
Subject Southwestern Ohio E125440 entity
Predicate hasCity P316 FINISHED
Object Xenia, Ohio E187249 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: Xenia, Ohio | Statement: [Southwestern Ohio, hasCity, Xenia, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xenia, Ohio
Context triple: [Southwestern Ohio, hasCity, Xenia, Ohio]
  • A. Xenia, Ohio chosen
    Xenia, Ohio is a small city in southwestern Ohio known for its historic downtown, proximity to Dayton, and extensive network of bike trails.
  • B. Niles, Ohio
    Niles, Ohio is a small industrial city in northeastern Ohio best known as the birthplace of U.S. President William McKinley.
  • C. Hilliard, Ohio
    Hilliard, Ohio is a suburban city in central Ohio known for its residential communities, schools, and proximity to Columbus.
  • D. Wapakoneta, Ohio
    Wapakoneta, Ohio is a small city in western Ohio best known as the hometown of astronaut Neil Armstrong and for its strong ties to aerospace history.
  • E. Medina, Ohio
    Medina, Ohio is a historic small city and county seat southwest of Cleveland, known for its preserved 19th-century town square and role as a suburban community within the Greater Cleveland area.
  • 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_69c0082bb19c8190823a4facd3cba79b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c023e500ec8190bfda4f6a818aa5dc completed March 22, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e38ae278819096aefcfbf98873dd completed March 27, 2026, 1:55 a.m.
Created at: March 22, 2026, 3:44 p.m.