Triple

T5980697
Position Surface form Disambiguated ID Type / Status
Subject Fort Thomas, Kentucky E133111 entity
Predicate borderedBy P224 FINISHED
Object Dayton, Kentucky
Dayton, Kentucky is a small Ohio River city in northern Kentucky, located across from Cincinnati and known as part of the greater Cincinnati metropolitan area.
E585473 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: Dayton, Kentucky | Statement: [Fort Thomas, Kentucky, borderedBy, Dayton, Kentucky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dayton, Kentucky
Context triple: [Fort Thomas, Kentucky, borderedBy, Dayton, Kentucky]
  • A. Oakland, Kentucky
    Oakland, Kentucky is a small town in Warren County that functions as part of the broader Bowling Green regional community in south-central Kentucky.
  • B. Kent, Ohio
    Kent, Ohio is a city in northeastern Ohio best known as the home of Kent State University.
  • C. Henderson, Kentucky
    Henderson, Kentucky is a small city along the Ohio River known for its historic downtown, riverfront parks, and role as a regional hub in western Kentucky.
  • D. Dayton
    Dayton is an unincorporated community and census-designated place located within South Brunswick Township in Middlesex County, New Jersey.
  • E. Dayton
    Dayton is a masculine given name of English origin used both as a first name and a surname.
  • 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: Dayton, Kentucky
Triple: [Fort Thomas, Kentucky, borderedBy, Dayton, Kentucky]
Generated description
Dayton, Kentucky is a small Ohio River city in northern Kentucky, located across from Cincinnati and known as part of the greater Cincinnati metropolitan area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dayton, Kentucky
Target entity description: Dayton, Kentucky is a small Ohio River city in northern Kentucky, located across from Cincinnati and known as part of the greater Cincinnati metropolitan area.
  • A. Oakland, Kentucky
    Oakland, Kentucky is a small town in Warren County that functions as part of the broader Bowling Green regional community in south-central Kentucky.
  • B. Kent, Ohio
    Kent, Ohio is a city in northeastern Ohio best known as the home of Kent State University.
  • C. Henderson, Kentucky
    Henderson, Kentucky is a small city along the Ohio River known for its historic downtown, riverfront parks, and role as a regional hub in western Kentucky.
  • D. Dayton
    Dayton is an unincorporated community and census-designated place located within South Brunswick Township in Middlesex County, New Jersey.
  • E. Dayton
    Dayton is a mid-sized city in southwestern Ohio known for its historic role in aviation, manufacturing, and research, including its close association with major U.S. Air Force installations.
  • 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_69c0086f45e8819098f73dd16d45ec9d completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04a67c3248190ba35a7121eb49672 completed March 22, 2026, 8 p.m.
NED1 Entity disambiguation (via context triple) batch_69c603ce59d88190a6bebba914af0826 completed March 27, 2026, 4:13 a.m.
NEDg Description generation batch_69c6047bff8c81908cfcaef23b78e022 completed March 27, 2026, 4:15 a.m.
NED2 Entity disambiguation (via description) batch_69c604e8d2748190b9a0505f6803ad07 completed March 27, 2026, 4:17 a.m.
Created at: March 22, 2026, 4:04 p.m.