Triple

T15480011
Position Surface form Disambiguated ID Type / Status
Subject Athens County, Ohio E376890 entity
Predicate contains P35 FINISHED
Object Athens, Ohio E19616 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: Athens, Ohio | Statement: [Athens County, Ohio, contains, Athens, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Athens, Ohio
Context triple: [Athens County, Ohio, contains, Athens, Ohio]
  • A. Athens, Ohio chosen
    Athens, Ohio is a small Appalachian college town in southeastern Ohio best known as the home of Ohio University and for its historic, hilly setting along the Hocking River.
  • B. Oxford, Ohio
    Oxford, Ohio is a small college town in southwestern Ohio best known as the home of Miami University.
  • 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. Salem, Ohio
    Salem, Ohio is a small city in northeastern Ohio known historically for its role in the abolitionist movement and its manufacturing-based economy.
  • E. Urbana, Ohio
    Urbana, Ohio is a small city in Champaign County known for its historic downtown, role as the county seat, and proximity to both Dayton and Springfield in southwestern 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f8a77a081909f12f13660452f4a completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d4661088190bb53161247effcc4 completed May 9, 2026, 1:57 p.m.
Created at: April 10, 2026, 3:34 a.m.