Triple

T1839002
Position Surface form Disambiguated ID Type / Status
Subject Wolterton Hall E41129 entity
Predicate locatedIn P40 FINISHED
Object Wolterton
Wolterton is an English country estate and civil parish in Norfolk, best known as the setting of the historic Wolterton Hall.
 E211448 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: Wolterton | Statement: [Wolterton Hall, locatedIn, Wolterton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wolterton
Context triple: [Wolterton Hall, locatedIn, Wolterton]
  • A. Werrington
    Werrington is a suburban residential area and former village now incorporated into the city of Peterborough in Cambridgeshire, England.
  • B. North Wootton
    North Wootton is a village and civil parish in Norfolk, England, situated near the town of King’s Lynn.
  • C. Wootton
    Wootton is a small rural village located within the district of West Oxfordshire in England.
  • D. South Wootton
    South Wootton is a suburban village and civil parish on the outskirts of King’s Lynn in Norfolk, England.
  • 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: Wolterton
Triple: [Wolterton Hall, locatedIn, Wolterton]
Generated description
Wolterton is an English country estate and civil parish in Norfolk, best known as the setting of the historic Wolterton Hall.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wolterton
Target entity description: Wolterton is an English country estate and civil parish in Norfolk, best known as the setting of the historic Wolterton Hall.
  • A. Werrington
    Werrington is a suburban residential area and former village now incorporated into the city of Peterborough in Cambridgeshire, England.
  • B. North Wootton
    North Wootton is a village and civil parish in Norfolk, England, situated near the town of King’s Lynn.
  • C. Wootton
    Wootton is a small rural village located within the district of West Oxfordshire in England.
  • D. South Wootton
    South Wootton is a suburban village and civil parish on the outskirts of King’s Lynn in Norfolk, England.
  • 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_69a88647f9388190909bc36e795bdaec completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb039cb588190b2626245a7f0bd67 completed March 7, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69adead8e9148190b7cba0f325dc58c4 completed March 8, 2026, 9:32 p.m.
NEDg Description generation batch_69adeb6e8fe08190a4732d42aa15ee8e completed March 8, 2026, 9:34 p.m.
NED2 Entity disambiguation (via description) batch_69adebea03a08190bd055e3e6460b5f4 completed March 8, 2026, 9:36 p.m.
Created at: March 4, 2026, 7:33 p.m.