Triple

T15418943
Position Surface form Disambiguated ID Type / Status
Subject Ohio Players E369320 entity
Predicate formedIn P1515 FINISHED
Object Dayton, Ohio
Dayton, Ohio is a mid-sized city in southwestern Ohio known for its rich musical heritage, especially in funk, and its historic role in aviation and industry.
 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, Ohio | Statement: [Ohio Players, formedIn, Dayton, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dayton, Ohio
Context triple: [Ohio Players, formedIn, Dayton, Ohio]
  • 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 small town located in the state of Indiana in the United States.
  • C. Dayton
    Dayton is a masculine given name of English origin used both as a first name and a surname.
  • 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 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, Ohio
Triple: [Ohio Players, formedIn, Dayton, Ohio]
Generated description
Dayton, Ohio is a mid-sized city in southwestern Ohio known for its rich musical heritage, especially in funk, and its historic role in aviation and industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dayton, Ohio
Target entity description: Dayton, Ohio is a mid-sized city in southwestern Ohio known for its rich musical heritage, especially in funk, and its historic role in aviation and industry.
  • 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 small town located in the state of Indiana in the United States.
  • C. 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.
  • D. Dayton
    Dayton is a masculine given name of English origin used both as a first name and a surname.
  • 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.

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_69d85a1849f48190bf898068b2806fae completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ebce4f48190ba282ecb4fb2f6fa completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff755ffbdc8190825010885e68ebc3 completed May 9, 2026, 5:56 p.m.
NEDg Description generation batch_69ff7653ccc08190b4b44b4f55344f65 completed May 9, 2026, 6 p.m.
NED2 Entity disambiguation (via description) batch_69ff76d21a148190bbe66c3ff12386f3 completed May 9, 2026, 6:02 p.m.
Created at: April 10, 2026, 3:20 a.m.