Triple

T5490449
Position Surface form Disambiguated ID Type / Status
Subject Columbiana County, Ohio E123687 entity
Predicate hasCity P316 FINISHED
Object Salem, Ohio E527747 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: Salem, Ohio | Statement: [Columbiana County, Ohio, hasCity, Salem, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salem, Ohio
Context triple: [Columbiana County, Ohio, hasCity, Salem, Ohio]
  • A. Salem, Ohio chosen
    Salem, Ohio is a small city in northeastern Ohio known historically for its role in the abolitionist movement and its manufacturing-based economy.
  • B. 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.
  • C. Springfield, Ohio
    Springfield, Ohio is a mid-sized city in western Ohio known historically for manufacturing and as the seat of Clark County.
  • D. Montgomery, Ohio
    Montgomery, Ohio is a suburban city in Hamilton County near Cincinnati, known for its historic charm, affluent residential character, and well-regarded schools.
  • E. Newark, Ohio
    Newark, Ohio is a mid-sized city in central Ohio known as the county seat of Licking County and a regional hub for industry, education, and transportation.
  • 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_69c01f036b7881908a555ff18ca5a9af completed March 22, 2026, 4:55 p.m.
Created at: March 20, 2026, 2:10 p.m.