Triple

T18383732
Position Surface form Disambiguated ID Type / Status
Subject Oxford, Ohio E446523 entity
Predicate hasNickname P39 FINISHED
Object The Friendly City
The Friendly City is a welcoming Midwestern college town known for its close-knit community and association with Miami University.
 E716431 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 Friendly City | Statement: [Oxford, Ohio, hasNickname, The Friendly City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Friendly City
Context triple: [Oxford, Ohio, hasNickname, The Friendly City]
  • A. The Friendly City
    The Friendly City is a popular nickname for Invercargill, a southern New Zealand city known for its welcoming community and relaxed atmosphere.
  • B. The Friendly City
    The Friendly City is the nickname of Harrisonburg, Virginia, highlighting its welcoming community atmosphere and small-town charm.
  • C. The Friendly City
    The Friendly City is the welcoming nickname of Fortuna, a small community-oriented town in Humboldt County, California.
  • D. The Friendly City
    The Friendly City is the affectionate nickname for Hazel Park, Michigan, highlighting its welcoming, close-knit community character.
  • E. The Friendly City
    The Friendly City is the nickname of Woodstock, Ontario, highlighting its reputation for welcoming residents and a warm small-town atmosphere.
  • 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 Friendly City
Triple: [Oxford, Ohio, hasNickname, The Friendly City]
Generated description
The Friendly City is a welcoming Midwestern college town known for its close-knit community and association with Miami University.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: The Friendly City
Target entity description: The Friendly City is a welcoming Midwestern college town known for its close-knit community and association with Miami University.
  • A. The Friendly City chosen
    The Friendly City is a welcoming nickname for Oxford, a small college town in southwestern Ohio known for its warm community atmosphere and association with Miami University.
  • B. The Friendly City
    The Friendly City is the affectionate nickname for Hazel Park, Michigan, highlighting its welcoming, close-knit community character.
  • C. The Friendly City
    The Friendly City is a popular nickname for Invercargill, a southern New Zealand city known for its welcoming community and relaxed atmosphere.
  • D. The Friendly City
    The Friendly City is the nickname of Woodstock, Ontario, highlighting its reputation for welcoming residents and a warm small-town atmosphere.
  • E. The Friendly City
    The Friendly City is the nickname of Harrisonburg, Virginia, highlighting its welcoming community atmosphere and small-town charm.
  • F. None of above.

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_69d8b9f370b88190b1e5081c2c238e7f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e5179da1048190944398e229e7a4c1 completed April 19, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03d782cb54819091b847cdeb98ed5c completed May 13, 2026, 1:44 a.m.
NEDg Description generation batch_6a03d8adc00c81908ca0a4825a2bcea1 completed May 13, 2026, 1:49 a.m.
NED2 Entity disambiguation (via description) batch_6a03da59c1b081908d9488233c611586 completed May 13, 2026, 1:56 a.m.
Created at: April 10, 2026, 10:45 a.m.