Triple

T11676759
Position Surface form Disambiguated ID Type / Status
Subject Bowdon, Georgia E277511 entity
Predicate hasName P744 FINISHED
Object Bowdon
Bowdon is a small city in Carroll County, western Georgia, known for its rural character and proximity to the Alabama state line.
E940442 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: Bowdon | Statement: [Bowdon, Georgia, hasName, Bowdon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bowdon
Context triple: [Bowdon, Georgia, hasName, Bowdon]
  • A. Bowdon
    Bowdon is an affluent suburban area in Greater Manchester, England, known for its Victorian and Edwardian architecture and proximity to Altrincham.
  • B. Bardwell
    Bardwell is a small rural village and civil parish in the county of Suffolk in eastern England.
  • C. Bodham
    Bodham is a small village in Norfolk, England, situated in the rural countryside of the county’s north.
  • D. Buntingford
    Buntingford is a small historic market town in Hertfordshire, England, known for its traditional high street and rural surroundings.
  • E. Bainsford
    Bainsford is a district in Falkirk, Scotland, historically associated with local industry and early Scottish football.
  • 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: Bowdon
Triple: [Bowdon, Georgia, hasName, Bowdon]
Generated description
Bowdon is a small city in Carroll County, western Georgia, known for its rural character and proximity to the Alabama state line.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bowdon
Target entity description: Bowdon is a small city in Carroll County, western Georgia, known for its rural character and proximity to the Alabama state line.
  • A. Bowdon
    Bowdon is an affluent suburban area in Greater Manchester, England, known for its Victorian and Edwardian architecture and proximity to Altrincham.
  • B. Bardwell
    Bardwell is a small rural village and civil parish in the county of Suffolk in eastern England.
  • C. Bodham
    Bodham is a small village in Norfolk, England, situated in the rural countryside of the county’s north.
  • D. Buntingford
    Buntingford is a small historic market town in Hertfordshire, England, known for its traditional high street and rural surroundings.
  • E. Bainsford
    Bainsford is a district in Falkirk, Scotland, historically associated with local industry and early Scottish football.
  • 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_69d6aafd0a448190b44da30af8c6c519 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a46000a48190888ad1a6ade052e3 completed April 10, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef13f12c2481909171a3237064c76d completed April 27, 2026, 7:44 a.m.
NEDg Description generation batch_69ef3551b9a88190a9b30bcb2592628b completed April 27, 2026, 10:07 a.m.
NED2 Entity disambiguation (via description) batch_69ef51c17078819083f05036f290ce09 completed April 27, 2026, 12:08 p.m.
Created at: April 8, 2026, 9:40 p.m.