Triple

T5200034
Position Surface form Disambiguated ID Type / Status
Subject North Somerset E117369 entity
Predicate createdFrom P5574 FINISHED
Object Avon
Avon was a former non-metropolitan and ceremonial county in south-west England that existed from 1974 until its abolition in 1996.
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: [North Somerset, createdFrom, Avon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avon
Context triple: [North Somerset, createdFrom, 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 small town in Norfolk County, Massachusetts, known for its suburban character and proximity to the Greater Boston area.
  • D. Avon
    Avon is a suburban city in northeastern Ohio, known for its residential communities, retail development, and proximity to the Cleveland metropolitan area.
  • E. Weston
    Weston is a suburban town in eastern Massachusetts known for its residential character, conservation land, and commuter access to Boston.
  • 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: [North Somerset, createdFrom, Avon]
Generated description
Avon was a former non-metropolitan and ceremonial county in south-west England that existed from 1974 until its abolition in 1996.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Avon
Target entity description: Avon was a former non-metropolitan and ceremonial county in south-west England that existed from 1974 until its abolition in 1996.
  • A. Avon
    Avon is a small town in Norfolk County, Massachusetts, known for its suburban character and proximity to the Greater Boston area.
  • B. Avon
    Avon is a suburban town in central Connecticut known for its residential communities, schools, and proximity to the Farmington Valley.
  • C. Avon
    Avon is a suburban city in northeastern Ohio, known for its residential communities, retail development, and proximity to the Cleveland metropolitan area.
  • D. 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.
  • E. Weston
    Weston is a suburban town in eastern Massachusetts known for its residential character, conservation land, and commuter access to Boston.
  • 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_69bd4462ed04819084fcb01eb9d2fa74 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7a209d7c81908fa0d3bf2c482a34 completed March 20, 2026, 4:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69bee0a37d8c8190842de23da26dd2cb completed March 21, 2026, 6:17 p.m.
NEDg Description generation batch_69bee2bc52188190ac1b7ba5580f2223 completed March 21, 2026, 6:26 p.m.
NED2 Entity disambiguation (via description) batch_69bee33223088190ad38787393392544 completed March 21, 2026, 6:28 p.m.
Created at: March 20, 2026, 1:47 p.m.