Triple

T2801568
Position Surface form Disambiguated ID Type / Status
Subject Suffolk, England E53163 entity
Predicate containsSettlement P847 FINISHED
Object Boxford
Boxford is a village and civil parish in Suffolk, England, known for its historic buildings and rural character.
E308483 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: Boxford | Statement: [Suffolk, England, containsSettlement, Boxford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boxford
Context triple: [Suffolk, England, containsSettlement, Boxford]
  • A. Glemsford
    Glemsford is a village and civil parish in the county of Suffolk in eastern England, known for its historic buildings and rural character.
  • B. Whittlesey
    Whittlesey is a historic market town and civil parish in the Fenland area of Cambridgeshire, England, known for its traditional Straw Bear Festival and surrounding wetland landscapes.
  • C. Thetford
    Thetford is a historic market town in eastern England known for its ancient earthworks, links to Thomas Paine, and surrounding Breckland forest.
  • D. Lavenham
    Lavenham is a historic medieval wool town in Suffolk, England, renowned for its well-preserved timber-framed buildings and picturesque streets.
  • E. Wroxham
    Wroxham is a village in Norfolk, England, widely regarded as the main boating and tourist centre of the Norfolk Broads.
  • 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: Boxford
Triple: [Suffolk, England, containsSettlement, Boxford]
Generated description
Boxford is a village and civil parish in Suffolk, England, known for its historic buildings and rural character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Boxford
Target entity description: Boxford is a village and civil parish in Suffolk, England, known for its historic buildings and rural character.
  • A. Glemsford
    Glemsford is a village and civil parish in the county of Suffolk in eastern England, known for its historic buildings and rural character.
  • B. Whittlesey
    Whittlesey is a historic market town and civil parish in the Fenland area of Cambridgeshire, England, known for its traditional Straw Bear Festival and surrounding wetland landscapes.
  • C. Thetford
    Thetford is a historic market town in eastern England known for its ancient earthworks, links to Thomas Paine, and surrounding Breckland forest.
  • D. Lavenham
    Lavenham is a historic medieval wool town in Suffolk, England, renowned for its well-preserved timber-framed buildings and picturesque streets.
  • E. Wroxham
    Wroxham is a village in Norfolk, England, widely regarded as the main boating and tourist centre of the Norfolk Broads.
  • 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_69ab495a90788190941b6917e1eca3a6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abde1117148190b0c98f906f1c872e completed March 7, 2026, 8:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69b03127f0808190841fa2572baaf5a7 completed March 10, 2026, 2:56 p.m.
NEDg Description generation batch_69b0350e36688190ba9b37486fbe5bcb completed March 10, 2026, 3:13 p.m.
NED2 Entity disambiguation (via description) batch_69b0390cb17c81909ca357726b20de35 completed March 10, 2026, 3:30 p.m.
Created at: March 6, 2026, 9:58 p.m.