Triple

T5490451
Position Surface form Disambiguated ID Type / Status
Subject Columbiana County, Ohio E123687 entity
Predicate hasVillage P4011 FINISHED
Object Lisbon, Ohio E527611 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: Lisbon, Ohio | Statement: [Columbiana County, Ohio, hasVillage, Lisbon, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lisbon, Ohio
Context triple: [Columbiana County, Ohio, hasVillage, Lisbon, Ohio]
  • A. Lisbon, Ohio chosen
    Lisbon, Ohio is a small historic village in northeastern Ohio known for being one of the state's earliest settled communities and a center of local government and commerce in Columbiana County.
  • B. Lima, Ohio
    Lima, Ohio is a small Midwestern city best known in popular culture as the hometown setting of the television series "Glee."
  • C. Dublin, Ohio
    Dublin, Ohio is a suburban city northwest of Columbus known for its affluent neighborhoods, strong school system, and annual Dublin Irish Festival.
  • D. Portsmouth, Ohio
    Portsmouth, Ohio is a small city along the Ohio River historically known for its early NFL franchise, the Portsmouth Spartans, which later became the Detroit Lions.
  • E. Havana, Ohio
    Havana, Ohio is a small unincorporated community located in Huron County in north-central Ohio.
  • 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_69bd464a2d908190869324ce176779c8 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd927dcb848190a9d31e2435f8a755 completed March 20, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c02777c0908190a0aebbbca3b7b0a6 completed March 22, 2026, 5:31 p.m.
Created at: March 20, 2026, 2:10 p.m.