Triple

T18476460
Position Surface form Disambiguated ID Type / Status
Subject Ohio State Route 4 E451445 entity
Predicate connectsCity P4245 FINISHED
Object Dayton
Dayton is a mid-sized city in southwestern Ohio known historically for its role in aviation innovation and manufacturing.
 E82485 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 | Statement: [Ohio State Route 4, connectsCity, Dayton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dayton
Context triple: [Ohio State Route 4, connectsCity, Dayton]
  • A. Dayton
    Dayton is an unincorporated community and census-designated place located within South Brunswick Township in Middlesex County, New Jersey.
  • B. Dayton
    Dayton is a masculine given name of English origin used both as a first name and a surname.
  • C. Dayton
    Dayton is a small city in Minnesota known for its suburban-rural character and location within the Minneapolis–Saint Paul metropolitan area.
  • D. Dayton
    Dayton is a small town located in the state of Indiana in the United States.
  • E. Dayton
    Dayton is a small city in southeastern Tennessee known historically as the site of the 1925 Scopes "Monkey" Trial.
  • 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
Triple: [Ohio State Route 4, connectsCity, Dayton]
Generated description
Dayton is a mid-sized city in southwestern Ohio known historically for its role in aviation innovation and manufacturing.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dayton
Target entity description: Dayton is a mid-sized city in southwestern Ohio known historically for its role in aviation innovation and manufacturing.
  • A. Dayton chosen
    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.
  • B. Dayton
    Dayton is a small town located in the state of Indiana in the United States.
  • C. Dayton
    Dayton is a small city in southeastern Tennessee known historically as the site of the 1925 Scopes "Monkey" Trial.
  • D. Dayton
    Dayton is a small city in Minnesota known for its suburban-rural character and location within the Minneapolis–Saint Paul metropolitan area.
  • E. Dayton
    Dayton is an unincorporated community and census-designated place located within South Brunswick Township in Middlesex County, New Jersey.
  • 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_69d8d38465a0819099b9b42d2a662ac1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53063c0108190be71247567b5241b completed April 19, 2026, 7:43 p.m.
NED1 Entity disambiguation (via context triple) batch_6a04f877eabc8190b222af2551892187 completed May 13, 2026, 10:17 p.m.
NEDg Description generation batch_6a05004d46388190867771b27a10aef5 completed May 13, 2026, 10:50 p.m.
NED2 Entity disambiguation (via description) batch_6a0500c4105081908f1ab4ee622d46b9 completed May 13, 2026, 10:52 p.m.
Created at: April 10, 2026, 11:35 a.m.