Triple

T5296188
Position Surface form Disambiguated ID Type / Status
Subject Mahoning County, Ohio E119860 entity
Predicate contains P35 FINISHED
Object Sebring, Ohio
Sebring, Ohio is a small village in northeastern Ohio historically known for its pottery industry and residential character.
 E527512 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: Sebring, Ohio | Statement: [Mahoning County, Ohio, contains, Sebring, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sebring, Ohio
Context triple: [Mahoning County, Ohio, contains, Sebring, Ohio]
  • A. Bryan, Ohio
    Bryan, Ohio is a small city in northwestern Ohio that serves as the county seat of Williams County.
  • B. Dublin, Ohio
    Dublin, Ohio is a suburban city northwest of Columbus known for its affluent neighborhoods, strong school system, and annual Dublin Irish Festival.
  • C. Boardman, Ohio
    Boardman, Ohio is a large suburban community and commercial hub near Youngstown in northeastern Ohio.
  • D. Brunswick, Ohio
    Brunswick, Ohio is a suburban city in Medina County that forms part of the Greater Cleveland metropolitan area.
  • E. Thurston, Ohio
    Thurston, Ohio is a small village located in Fairfield County in the central part of the state.
  • 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: Sebring, Ohio
Triple: [Mahoning County, Ohio, contains, Sebring, Ohio]
Generated description
Sebring, Ohio is a small village in northeastern Ohio historically known for its pottery industry and residential character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sebring, Ohio
Target entity description: Sebring, Ohio is a small village in northeastern Ohio historically known for its pottery industry and residential character.
  • A. Bryan, Ohio
    Bryan, Ohio is a small city in northwestern Ohio that serves as the county seat of Williams County.
  • B. Dublin, Ohio
    Dublin, Ohio is a suburban city northwest of Columbus known for its affluent neighborhoods, strong school system, and annual Dublin Irish Festival.
  • C. Boardman, Ohio
    Boardman, Ohio is a large suburban community and commercial hub near Youngstown in northeastern Ohio.
  • D. Brunswick, Ohio
    Brunswick, Ohio is a suburban city in Medina County that forms part of the Greater Cleveland metropolitan area.
  • E. Thurston, Ohio
    Thurston, Ohio is a small village located in Fairfield County in the central part of the state.
  • 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_69bd446f22b88190b6a47fb91c68a3e7 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd8503cf908190b1f93fb10a33c49c completed March 20, 2026, 5:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfecee7e0c8190bb22c6102bda46f5 completed March 22, 2026, 1:21 p.m.
NEDg Description generation batch_69bfed61c7d88190ac8bf61d626f16ce completed March 22, 2026, 1:23 p.m.
NED2 Entity disambiguation (via description) batch_69bfedaa06c88190a6f951daedd54b28 completed March 22, 2026, 1:24 p.m.
Created at: March 20, 2026, 1:53 p.m.