Triple

T10022922
Position Surface form Disambiguated ID Type / Status
Subject Ohio State Route 48 E200652 entity
Predicate servesCity P82 FINISHED
Object Minster, Ohio
Minster, Ohio is a small village in Auglaize County known for its strong German heritage, manufacturing base, and annual Oktoberfest celebration.
E835237 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: Minster, Ohio | Statement: [Ohio State Route 48, servesCity, Minster, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Minster, Ohio
Context triple: [Ohio State Route 48, servesCity, Minster, Ohio]
  • A. Minerva, Ohio
    Minerva, Ohio is a small village in northeastern Ohio known for its historic downtown and location along the historic Lincoln Highway.
  • B. Medina, Ohio
    Medina, Ohio is a historic small city and county seat southwest of Cleveland, known for its preserved 19th-century town square and role as a suburban community within the Greater Cleveland area.
  • C. Wakeman, Ohio
    Wakeman, Ohio is a small village in northern Ohio known for its rural character and location within Huron County.
  • D. Thurston, Ohio
    Thurston, Ohio is a small village located in Fairfield County in the central part of the state.
  • E. New London, Ohio
    New London, Ohio is a small village in Huron County known for its rural character and location in north-central Ohio.
  • 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: Minster, Ohio
Triple: [Ohio State Route 48, servesCity, Minster, Ohio]
Generated description
Minster, Ohio is a small village in Auglaize County known for its strong German heritage, manufacturing base, and annual Oktoberfest celebration.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Minster, Ohio
Target entity description: Minster, Ohio is a small village in Auglaize County known for its strong German heritage, manufacturing base, and annual Oktoberfest celebration.
  • A. Minerva, Ohio
    Minerva, Ohio is a small village in northeastern Ohio known for its historic downtown and location along the historic Lincoln Highway.
  • B. Medina, Ohio
    Medina, Ohio is a historic small city and county seat southwest of Cleveland, known for its preserved 19th-century town square and role as a suburban community within the Greater Cleveland area.
  • C. Wakeman, Ohio
    Wakeman, Ohio is a small village in northern Ohio known for its rural character and location within Huron County.
  • D. Thurston, Ohio
    Thurston, Ohio is a small village located in Fairfield County in the central part of the state.
  • E. New London, Ohio
    New London, Ohio is a small village in Huron County known for its rural character and location in north-central Ohio.
  • 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_69ca831c45f08190ac1505cc15076608 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd7ae36c8190896946be065fbf78 completed April 2, 2026, 1:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26abb0ab08190b5bcf101c5680f3c completed April 5, 2026, 1:59 p.m.
NEDg Description generation batch_69d26cc38274819090cf10c2fcf43cc7 completed April 5, 2026, 2:08 p.m.
NED2 Entity disambiguation (via description) batch_69d26d2c91fc8190bc40a678662c19aa completed April 5, 2026, 2:09 p.m.
Created at: March 30, 2026, 8:53 p.m.