Triple

T10700018
Position Surface form Disambiguated ID Type / Status
Subject Western Ohio E252247 entity
Predicate containsCity P294 FINISHED
Object Mechanicsburg, Ohio E565712 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: Mechanicsburg, Ohio | Statement: [Western Ohio, containsCity, Mechanicsburg, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mechanicsburg, Ohio
Context triple: [Western Ohio, containsCity, Mechanicsburg, Ohio]
  • A. Mechanicsburg, Ohio chosen
    Mechanicsburg, Ohio is a small village in central Ohio known for its rural community character and location within Champaign County.
  • B. Germantown, Ohio
    Germantown, Ohio is a small historic village in southwestern Ohio known for its well-preserved 19th-century architecture and German heritage.
  • C. Sunbury, Ohio
    Sunbury, Ohio is a small village-turned-city in central Ohio known for its historic town square and growing suburban community northeast of Columbus.
  • D. Washingtonville, Ohio
    Washingtonville, Ohio is a small village located in Columbiana County in the eastern part of the state.
  • E. Frazeysburg, Ohio
    Frazeysburg, Ohio is a small village in eastern Ohio known for its rural character and role as a local residential and agricultural community.
  • 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_69de225f57948190aaf2954bce91f752 completed April 14, 2026, 11:17 a.m.
Created at: April 8, 2026, 9:12 p.m.