Triple

T5565487
Position Surface form Disambiguated ID Type / Status
Subject Summit County E145869 entity
Predicate hasMunicipality P847 FINISHED
Object Barberton
Barberton is a small industrial city in northeastern Ohio known historically for its manufacturing base and proximity to Akron.
 E534300 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: Barberton | Statement: [Summit County, hasMunicipality, Barberton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Barberton
Context triple: [Summit County, hasMunicipality, Barberton]
  • A. Paynesville
    Paynesville is a major city in Liberia, located near the capital Monrovia and known for its role as a key urban and sporting center in the country.
  • B. Juneautown
    Juneautown was one of the original 19th-century settlements that later became part of the city of Milwaukee, Wisconsin.
  • C. Mapleton
    Mapleton is a small village in Derbyshire, England, known for its picturesque rural setting in the Peak District near the River Dove.
  • D. Mapleton
    Mapleton is a small rural town in the Sunshine Coast hinterland of Queensland, Australia, known for its scenic views, rainforest walks, and proximity to Mapleton Falls National Park.
  • E. Harpley
    Harpley is a small rural village in Norfolk, England, known for its traditional English countryside setting and historic parish church.
  • 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: Barberton
Triple: [Summit County, hasMunicipality, Barberton]
Generated description
Barberton is a small industrial city in northeastern Ohio known historically for its manufacturing base and proximity to Akron.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Barberton
Target entity description: Barberton is a small industrial city in northeastern Ohio known historically for its manufacturing base and proximity to Akron.
  • A. Paynesville
    Paynesville is a major city in Liberia, located near the capital Monrovia and known for its role as a key urban and sporting center in the country.
  • B. Juneautown
    Juneautown was one of the original 19th-century settlements that later became part of the city of Milwaukee, Wisconsin.
  • C. Mapleton
    Mapleton is a small village in Derbyshire, England, known for its picturesque rural setting in the Peak District near the River Dove.
  • D. Mapleton
    Mapleton is a small rural town in the Sunshine Coast hinterland of Queensland, Australia, known for its scenic views, rainforest walks, and proximity to Mapleton Falls National Park.
  • E. Harpley
    Harpley is a small rural village in Norfolk, England, known for its traditional English countryside setting and historic parish church.
  • 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_69c008fdae24819081aa002ad99cd966 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c02033cc308190895f13454c57f452 completed March 22, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d125e808190b0360da35d514920 completed March 22, 2026, 8:12 p.m.
NEDg Description generation batch_69c04e868cc48190bdb245ba52b9b938 completed March 22, 2026, 8:18 p.m.
NED2 Entity disambiguation (via description) batch_69c04f0de68c8190817b525f2d8ef327 completed March 22, 2026, 8:20 p.m.
Created at: March 22, 2026, 3:36 p.m.