Triple

T10857518
Position Surface form Disambiguated ID Type / Status
Subject Badgerline E256307 entity
Predicate serviceArea P82 FINISHED
Object Avon
Avon is a historic county and former administrative area in southwest England that included the city of Bristol and surrounding districts.
 E500602 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 | Statement: [Badgerline, serviceArea, Avon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Avon
Context triple: [Badgerline, serviceArea, Avon]
  • A. Avon
    Avon is a suburban town in central Connecticut known for its residential communities, schools, and proximity to the Farmington Valley.
  • B. Avon
    Avon is a global beauty and personal care company best known for its direct-selling model and extensive range of cosmetics, skincare, and fragrance products.
  • C. Avon
    Avon is a suburban town in Hendricks County, Indiana, known for its residential communities and proximity to Indianapolis.
  • D. Avon
    Avon is a small town in Norfolk County, Massachusetts, known for its suburban character and proximity to the Greater Boston area.
  • E. Avon
    Avon is a suburban city in northeastern Ohio, known for its residential communities, retail development, and proximity to the Cleveland metropolitan area.
  • 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
Triple: [Badgerline, serviceArea, Avon]
Generated description
Avon is a historic county and former administrative area in southwest England that included the city of Bristol and surrounding districts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Avon
Target entity description: Avon is a historic county and former administrative area in southwest England that included the city of Bristol and surrounding districts.
  • A. Avon chosen
    Avon was a former non-metropolitan and ceremonial county in south-west England that existed from 1974 until its abolition in 1996.
  • B. Avon
    Avon is a river in southwest England that flows through the city of Bristol before reaching the Severn Estuary.
  • C. Avon
    Avon is a small town in Norfolk County, Massachusetts, known for its suburban character and proximity to the Greater Boston area.
  • D. Avon
    Avon is a suburban town in central Connecticut known for its residential communities, schools, and proximity to the Farmington Valley.
  • E. Avon
    Avon is a suburban town in Hendricks County, Indiana, known for its residential communities and proximity to Indianapolis.
  • 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_69d6aa83d1448190a66d93c32394d21f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d751377da88190a7244bb9d6b0c2ec completed April 9, 2026, 7:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb197808c8190b1c80aeb2144a909 completed April 14, 2026, 9:28 p.m.
NEDg Description generation batch_69dec25660dc8190a4444a1099e7e40c completed April 14, 2026, 10:40 p.m.
NED2 Entity disambiguation (via description) batch_69dec7cdcd988190bb6508838bea48de completed April 14, 2026, 11:03 p.m.
Created at: April 8, 2026, 9:20 p.m.