Triple

T2420844
Position Surface form Disambiguated ID Type / Status
Subject Dearborn E53412 entity
Predicate hasSisterCity P919 FINISHED
Object Avon, Ohio
Avon, Ohio is a suburban city in northeastern Ohio known for its residential communities, retail development, and location within the Greater Cleveland metropolitan area.
E421205 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: Avon, Ohio | Statement: [Dearborn, hasSisterCity, Avon, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avon, Ohio
Context triple: [Dearborn, hasSisterCity, Avon, Ohio]
  • A. New London, Ohio
    New London, Ohio is a small village in Huron County known for its rural character and location in north-central Ohio.
  • B. Wakeman, Ohio
    Wakeman, Ohio is a small village in northern Ohio known for its rural character and location within Huron County.
  • C. Norwood, Ohio
    Norwood, Ohio is a small independent city surrounded by Cincinnati that was historically known for its major General Motors automobile assembly plant.
  • D. New Haven, Ohio
    New Haven, Ohio is an unincorporated community and census-designated place in Huron County known historically as a small rural settlement in north-central Ohio.
  • E. Thurston, Ohio
    Thurston, Ohio is a small village located in Fairfield County in the central part of the state.
  • 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: Avon, Ohio
Triple: [Dearborn, hasSisterCity, Avon, Ohio]
Generated description
Avon, Ohio is a suburban city in northeastern Ohio known for its residential communities, retail development, and location within the Greater Cleveland metropolitan area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Avon, Ohio
Target entity description: Avon, Ohio is a suburban city in northeastern Ohio known for its residential communities, retail development, and location within the Greater Cleveland metropolitan area.
  • A. New London, Ohio
    New London, Ohio is a small village in Huron County known for its rural character and location in north-central Ohio.
  • B. Wakeman, Ohio
    Wakeman, Ohio is a small village in northern Ohio known for its rural character and location within Huron County.
  • C. Norwood, Ohio
    Norwood, Ohio is a small independent city surrounded by Cincinnati that was historically known for its major General Motors automobile assembly plant.
  • D. New Haven, Ohio
    New Haven, Ohio is an unincorporated community and census-designated place in Huron County known historically as a small rural settlement in north-central Ohio.
  • E. Thurston, Ohio
    Thurston, Ohio is a small village located in Fairfield County in the central part of the state.
  • 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_69ab495c44d48190b7235b23719bc3f6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc96f97e08190978b2d873ab88859 completed March 7, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69b594a6aac881908dbde61735ca8427 completed March 14, 2026, 5:02 p.m.
NEDg Description generation batch_69b59669d7b08190b1cbacd9b694aa81 completed March 14, 2026, 5:10 p.m.
NED2 Entity disambiguation (via description) batch_69b59762105481908e3534600486b82d completed March 14, 2026, 5:14 p.m.
Created at: March 6, 2026, 9:42 p.m.