Triple

T6867642
Position Surface form Disambiguated ID Type / Status
Subject Barton Bendish E158449 entity
Predicate locatedNear P294 FINISHED
Object Beachamwell
Beachamwell is a small rural village in Norfolk, England, known for its traditional countryside setting and historic parish church.
E626061 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: Beachamwell | Statement: [Barton Bendish, locatedNear, Beachamwell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beachamwell
Context triple: [Barton Bendish, locatedNear, Beachamwell]
  • A. Tealby
    Tealby is a picturesque rural village in eastern England, known for its traditional stone cottages and scenic setting within the Lincolnshire countryside.
  • B. Bardwell
    Bardwell is a small rural village and civil parish in the county of Suffolk in eastern England.
  • C. Thrupp
    Thrupp is a small canal-side village in Oxfordshire, England, known for its historic wharf and picturesque setting along the Oxford Canal.
  • D. Cavenham
    Cavenham is a small rural village and civil parish in Suffolk, England, known for its surrounding heathland and agricultural landscape.
  • E. Bickenhill
    Bickenhill is a village in the West Midlands of England, notable for its proximity to major transport hubs and urban centers including Birmingham.
  • 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: Beachamwell
Triple: [Barton Bendish, locatedNear, Beachamwell]
Generated description
Beachamwell is a small rural village in Norfolk, England, known for its traditional countryside setting and historic parish church.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Beachamwell
Target entity description: Beachamwell is a small rural village in Norfolk, England, known for its traditional countryside setting and historic parish church.
  • A. Tealby
    Tealby is a picturesque rural village in eastern England, known for its traditional stone cottages and scenic setting within the Lincolnshire countryside.
  • B. Bardwell
    Bardwell is a small rural village and civil parish in the county of Suffolk in eastern England.
  • C. Thrupp
    Thrupp is a small canal-side village in Oxfordshire, England, known for its historic wharf and picturesque setting along the Oxford Canal.
  • D. Cavenham
    Cavenham is a small rural village and civil parish in Suffolk, England, known for its surrounding heathland and agricultural landscape.
  • E. Bickenhill
    Bickenhill is a village in the West Midlands of England, notable for its proximity to major transport hubs and urban centers including Birmingham.
  • 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_69c68831e3648190a643c328122e4d43 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d8a793a481909340239c065393a4 completed March 27, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c74292922c8190a0d3ee6f74ff672c completed March 28, 2026, 2:53 a.m.
NEDg Description generation batch_69c7448553288190ad330597c4705bd5 completed March 28, 2026, 3:01 a.m.
NED2 Entity disambiguation (via description) batch_69c7451d5a908190b72ef845a4d05b25 completed March 28, 2026, 3:03 a.m.
Created at: March 27, 2026, 2:21 p.m.