Triple

T3132097
Position Surface form Disambiguated ID Type / Status
Subject Wayne County, Ohio E65437 entity
Predicate countySeat P383 FINISHED
Object Wooster, Ohio
Wooster, Ohio is a small city in northeastern Ohio known for hosting the College of Wooster and serving as a regional center for education, culture, and agriculture.
 E444460 NE FINISHED

How this triple was built (4 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: Wooster, Ohio | Statement: [Wayne County, Ohio, countySeat, Wooster, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wooster, Ohio
Context triple: [Wayne County, Ohio, countySeat, Wooster, Ohio]
  • A. Wakeman, Ohio
    Wakeman, Ohio is a small village in northern Ohio known for its rural character and location within Huron County.
  • 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. Worthington, Ohio
    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.
  • D. Thurston, Ohio
    Thurston, Ohio is a small village located in Fairfield County in the central part of the state.
  • E. New London, Ohio
    New London, Ohio is a small village in Huron County known for its rural character and location in north-central Ohio.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Wooster, Ohio
Triple: [Wayne County, Ohio, countySeat, Wooster, Ohio]
Generated description
Wooster, Ohio is a small city in northeastern Ohio known for hosting the College of Wooster and serving as a regional center for education, culture, and agriculture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wooster, Ohio
Target entity description: Wooster, Ohio is a small city in northeastern Ohio known for hosting the College of Wooster and serving as a regional center for education, culture, and agriculture.
  • A. Wakeman, Ohio
    Wakeman, Ohio is a small village in northern Ohio known for its rural character and location within Huron County.
  • 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. Worthington, Ohio
    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.
  • D. Thurston, Ohio
    Thurston, Ohio is a small village located in Fairfield County in the central part of the state.
  • E. New London, Ohio
    New London, Ohio is a small village in Huron County known for its rural character and location in north-central Ohio.
  • F. None of above. chosen

Provenance (5 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_69ad8581c25c8190b0d85ba9b9baa531 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada55f77b881908866fc43bdb18185 completed March 8, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69b65efe2ab881909bc709f369a75b6f completed March 15, 2026, 7:25 a.m.
NEDg Description generation batch_69b66008494c81908205772ba3cf29be completed March 15, 2026, 7:30 a.m.
NED2 Entity disambiguation (via description) batch_69b66069b8708190b3351c68484dc034 completed March 15, 2026, 7:31 a.m.
Created at: March 8, 2026, 3:04 p.m.