Triple

T4502687
Position Surface form Disambiguated ID Type / Status
Subject Borough of Swindon E101258 entity
Predicate contains P35 FINISHED
Object Bishopstone
Bishopstone is a rural village and civil parish in Wiltshire, England, known for its historic downland setting near the Berkshire Downs.
 E447334 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: Bishopstone | Statement: [Borough of Swindon, contains, Bishopstone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bishopstone
Context triple: [Borough of Swindon, contains, Bishopstone]
  • A. Bishopsbourne
    Bishopsbourne is a village in Kent, England, best known as the place where novelist Joseph Conrad spent his final years and died.
  • B. Burgess Hill
    Burgess Hill is a town in southeastern England known as a commuter hub with residential areas and light industry, situated within the county of West Sussex.
  • C. Banstead
    Banstead is a suburban town in southeast England known for its village-like high street and green spaces within the county of Surrey.
  • D. Bletchingley
    Bletchingley is a historic village in Surrey, England, known for its medieval origins and picturesque rural setting.
  • E. Beckenham
    Beckenham is a suburban town in southeast London known for its residential character, green spaces, and commuter links into central London.
  • 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: Bishopstone
Triple: [Borough of Swindon, contains, Bishopstone]
Generated description
Bishopstone is a rural village and civil parish in Wiltshire, England, known for its historic downland setting near the Berkshire Downs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bishopstone
Target entity description: Bishopstone is a rural village and civil parish in Wiltshire, England, known for its historic downland setting near the Berkshire Downs.
  • A. Bishopsbourne
    Bishopsbourne is a village in Kent, England, best known as the place where novelist Joseph Conrad spent his final years and died.
  • B. Burgess Hill
    Burgess Hill is a town in southeastern England known as a commuter hub with residential areas and light industry, situated within the county of West Sussex.
  • C. Banstead
    Banstead is a suburban town in southeast England known for its village-like high street and green spaces within the county of Surrey.
  • D. Bletchingley
    Bletchingley is a historic village in Surrey, England, known for its medieval origins and picturesque rural setting.
  • E. Beckenham
    Beckenham is a suburban town in southeast London known for its residential character, green spaces, and commuter links into central London.
  • 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_69bd43d175248190894dc58b5b395c26 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd56fb2bec8190b74b6a49d9475514 completed March 20, 2026, 2:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd6f90d6a4819085d911de5443f111 completed March 20, 2026, 4:02 p.m.
NEDg Description generation batch_69bd71b00a2481909309765b6cc2e73d completed March 20, 2026, 4:11 p.m.
NED2 Entity disambiguation (via description) batch_69bd727abda08190bdc1d6ea015f3e46 completed March 20, 2026, 4:14 p.m.
Created at: March 20, 2026, 1:01 p.m.