Triple

T4488893
Position Surface form Disambiguated ID Type / Status
Subject Olentangy River E107318 entity
Predicate passesNear P416 FINISHED
Object Worthington, Ohio E401695 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: Worthington, Ohio | Statement: [Olentangy River, passesNear, Worthington, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Worthington, Ohio
Context triple: [Olentangy River, passesNear, Worthington, Ohio]
  • A. Worthington, Ohio chosen
    Worthington, Ohio is a historic suburban city just north of Columbus known for its New England–style village green, strong schools, and community-focused character.
  • B. Norwood, Ohio
    Norwood, Ohio is a small independent city surrounded by Cincinnati that was historically known for its major General Motors automobile assembly plant.
  • C. Wakeman, Ohio
    Wakeman, Ohio is a small village in northern Ohio known for its rural character and location within Huron County.
  • D. New London, Ohio
    New London, Ohio is a small village in Huron County known for its rural character and location in north-central Ohio.
  • E. Norwalk, Ohio
    Norwalk, Ohio is a small city in northern Ohio that serves as the county seat of Huron County and a regional hub for the surrounding rural communities.
  • 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_69bd43f84f788190a1383579c4a595be completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd52ad36748190b791de458f2116b2 completed March 20, 2026, 1:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf2196e8e88190b8da71ecfb07dfc8 completed March 21, 2026, 10:54 p.m.
Created at: March 20, 2026, 12:59 p.m.