Triple

T3093129
Position Surface form Disambiguated ID Type / Status
Subject Dover District E64528 entity
Predicate contains P35 FINISHED
Object Woodnesborough
Woodnesborough is a small village and civil parish in Kent, England, known for its rural character and historic church.
 E326417 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: Woodnesborough | Statement: [Dover District, contains, Woodnesborough]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Woodnesborough
Context triple: [Dover District, contains, Woodnesborough]
  • A. Crowborough
    Crowborough is a small town in East Sussex, England, known for its elevated position on the High Weald and its association with Sir Arthur Conan Doyle.
  • B. Narborough
    Narborough is a village in the English county of Norfolk, known for its rural setting and historic parish character.
  • C. Wraysbury
    Wraysbury is a village and civil parish in Berkshire, England, situated near the River Thames and known for its historic sites and proximity to Windsor.
  • D. Buckland
    Buckland is a small Inupiat community and city in northwestern Alaska situated along the Buckland River.
  • E. Buckland
    Buckland is a small historic community located within the Bull Run Mountains region of northern Virginia.
  • 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: Woodnesborough
Triple: [Dover District, contains, Woodnesborough]
Generated description
Woodnesborough is a small village and civil parish in Kent, England, known for its rural character and historic church.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Woodnesborough
Target entity description: Woodnesborough is a small village and civil parish in Kent, England, known for its rural character and historic church.
  • A. Crowborough
    Crowborough is a small town in East Sussex, England, known for its elevated position on the High Weald and its association with Sir Arthur Conan Doyle.
  • B. Narborough
    Narborough is a village in the English county of Norfolk, known for its rural setting and historic parish character.
  • C. Wraysbury
    Wraysbury is a village and civil parish in Berkshire, England, situated near the River Thames and known for its historic sites and proximity to Windsor.
  • D. Buckland
    Buckland is a small Inupiat community and city in northwestern Alaska situated along the Buckland River.
  • E. Buckland
    Buckland is a small historic community located within the Bull Run Mountains region of northern Virginia.
  • 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_69ad857c97d88190b26f9b1c90839c77 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada23876a4819095bfc28640d8c200 completed March 8, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b203697abc8190b93e8c85ada5bdfc completed March 12, 2026, 12:06 a.m.
NEDg Description generation batch_69b2043430548190a538c183aef44b44 completed March 12, 2026, 12:09 a.m.
NED2 Entity disambiguation (via description) batch_69b204c812f081908fe5733305123c0e completed March 12, 2026, 12:11 a.m.
Created at: March 8, 2026, 3:03 p.m.