Triple

T12112962
Position Surface form Disambiguated ID Type / Status
Subject Barberton, Ohio E288478 entity
Predicate nickname P55 FINISHED
Object The Magic City
The Magic City is a nickname for Barberton, Ohio, reflecting its rapid growth and development during the late 19th and early 20th centuries.
 E966162 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: The Magic City | Statement: [Barberton, Ohio, nickname, The Magic City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Magic City
Context triple: [Barberton, Ohio, nickname, The Magic City]
  • A. The Magic City
    The Magic City is a nickname for Birmingham, Alabama, highlighting its rapid growth during the late 19th and early 20th centuries as an industrial and economic center.
  • B. Magic City
    Magic City is the nickname of Billings, Montana, reflecting its rapid growth from a small railroad town into the state’s largest city.
  • C. Magic City
    Magic City is a popular nickname for Miami, highlighting the city's rapid growth, vibrant nightlife, and dynamic cultural scene.
  • D. Magic City
    Magic City is a nickname for Roanoke, Virginia, reflecting its rapid growth and development during the late 19th and early 20th centuries.
  • E. Magic City
    Magic City is a stylish period crime drama television series set in 1950s Miami, centered on the dark underworld surrounding a glamorous luxury hotel.
  • 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: The Magic City
Triple: [Barberton, Ohio, nickname, The Magic City]
Generated description
The Magic City is a nickname for Barberton, Ohio, reflecting its rapid growth and development during the late 19th and early 20th centuries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: The Magic City
Target entity description: The Magic City is a nickname for Barberton, Ohio, reflecting its rapid growth and development during the late 19th and early 20th centuries.
  • A. The Magic City
    The Magic City is a nickname for Birmingham, Alabama, highlighting its rapid growth during the late 19th and early 20th centuries as an industrial and economic center.
  • B. Magic City
    Magic City is the nickname of Billings, Montana, reflecting its rapid growth from a small railroad town into the state’s largest city.
  • C. Magic City
    Magic City is a popular nickname for Miami, highlighting the city's rapid growth, vibrant nightlife, and dynamic cultural scene.
  • D. Magic City
    Magic City is a nickname for Roanoke, Virginia, reflecting its rapid growth and development during the late 19th and early 20th centuries.
  • E. Magic City
    Magic City is a stylish period crime drama television series set in 1950s Miami, centered on the dark underworld surrounding a glamorous luxury hotel.
  • 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_69d6ab4a5c448190a110d1273314b21a completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9156814148190b47d63a89fcab17c completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f67d58d08190be45fb49f0084b49 completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f600b6769481909d0308c8f77b2ef3 completed May 2, 2026, 1:48 p.m.
NED2 Entity disambiguation (via description) batch_69f601ef0a9c8190ac922562a8856def completed May 2, 2026, 1:53 p.m.
Created at: April 8, 2026, 9:49 p.m.