Triple

T2298095
Position Surface form Disambiguated ID Type / Status
Subject Stoke Ferry E51662 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Wretton
Wretton is a small village and civil parish in Norfolk, England, situated in a rural area of the county.
 E255259 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: Wretton | Statement: [Stoke Ferry, hasNearbySettlement, Wretton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wretton
Context triple: [Stoke Ferry, hasNearbySettlement, Wretton]
  • A. Wolterton
    Wolterton is an English country estate and civil parish in Norfolk, best known as the setting of the historic Wolterton Hall.
  • B. Werrington
    Werrington is a suburban residential area and former village now incorporated into the city of Peterborough in Cambridgeshire, England.
  • C. Yarnton
    Yarnton is a rural village in Oxfordshire, England, known for its historic church, manor house, and proximity to the city of Oxford.
  • D. Windlesham
    Windlesham is a village and civil parish in the Surrey Heath district of Surrey, England, known for its affluent residential character and leafy surroundings.
  • E. Highworth
    Highworth is a historic market town in Wiltshire, England, known for its elevated position and traditional architecture.
  • 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: Wretton
Triple: [Stoke Ferry, hasNearbySettlement, Wretton]
Generated description
Wretton is a small village and civil parish in Norfolk, England, situated in a rural area of the county.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wretton
Target entity description: Wretton is a small village and civil parish in Norfolk, England, situated in a rural area of the county.
  • A. Wolterton
    Wolterton is an English country estate and civil parish in Norfolk, best known as the setting of the historic Wolterton Hall.
  • B. Werrington
    Werrington is a suburban residential area and former village now incorporated into the city of Peterborough in Cambridgeshire, England.
  • C. Yarnton
    Yarnton is a rural village in Oxfordshire, England, known for its historic church, manor house, and proximity to the city of Oxford.
  • D. Windlesham
    Windlesham is a village and civil parish in the Surrey Heath district of Surrey, England, known for its affluent residential character and leafy surroundings.
  • E. Highworth
    Highworth is a historic market town in Wiltshire, England, known for its elevated position and traditional architecture.
  • 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_69a88b0a9f248190bcff941463d8f65a completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc5df37808190ba6a43dc1e9e723a completed March 7, 2026, 6:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae8954a804819092c716582f23af14 completed March 9, 2026, 8:48 a.m.
NEDg Description generation batch_69ae8b188f18819088eaa3866485191a completed March 9, 2026, 8:55 a.m.
NED2 Entity disambiguation (via description) batch_69ae8b83efd48190a832032775803919 completed March 9, 2026, 8:57 a.m.
Created at: March 4, 2026, 7:49 p.m.