Triple

T552734
Position Surface form Disambiguated ID Type / Status
Subject Fakenham E11874 entity
Predicate hasNeighbouringSettlement P4647 FINISHED
Object Great Ryburgh
Great Ryburgh is a rural village in Norfolk, England, known for its historic church and traditional countryside setting near the market town of Fakenham.
E69309 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: Great Ryburgh | Statement: [Fakenham, hasNeighbouringSettlement, Great Ryburgh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Great Ryburgh
Context triple: [Fakenham, hasNeighbouringSettlement, Great Ryburgh]
  • A. Rothbury
    Rothbury is a historic market town and civil parish in Northumberland, England, situated on the River Coquet and known as a gateway to the Northumberland National Park.
  • B. Grimston
    Grimston is a village and civil parish in the English county of Norfolk, known for its historic church and rural setting near King’s Lynn.
  • C. Rockingham
    Rockingham is a coastal city in Western Australia known for its beaches, marine wildlife, and proximity to Perth.
  • D. Hawkenbury
    Hawkenbury is a residential suburb and community area of Royal Tunbridge Wells in Kent, England.
  • E. Godalming
    Godalming is a historic market town in southeast England known for its picturesque streets, riverside setting, and role as a commuter hub for 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: Great Ryburgh
Triple: [Fakenham, hasNeighbouringSettlement, Great Ryburgh]
Generated description
Great Ryburgh is a rural village in Norfolk, England, known for its historic church and traditional countryside setting near the market town of Fakenham.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Great Ryburgh
Target entity description: Great Ryburgh is a rural village in Norfolk, England, known for its historic church and traditional countryside setting near the market town of Fakenham.
  • A. Rothbury
    Rothbury is a historic market town and civil parish in Northumberland, England, situated on the River Coquet and known as a gateway to the Northumberland National Park.
  • B. Grimston
    Grimston is a village and civil parish in the English county of Norfolk, known for its historic church and rural setting near King’s Lynn.
  • C. Rockingham
    Rockingham is a coastal city in Western Australia known for its beaches, marine wildlife, and proximity to Perth.
  • D. Hawkenbury
    Hawkenbury is a residential suburb and community area of Royal Tunbridge Wells in Kent, England.
  • E. Godalming
    Godalming is a historic market town in southeast England known for its picturesque streets, riverside setting, and role as a commuter hub for 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_69a4932941d08190815efd422f0b4ca7 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4991b296481908cf27e1d1ec67052 completed March 1, 2026, 7:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4e3f90058819081167bac387f8023 completed March 2, 2026, 1:12 a.m.
NEDg Description generation batch_69a4e497da648190b9e07fe94488be0d completed March 2, 2026, 1:15 a.m.
NED2 Entity disambiguation (via description) batch_69a4e525eb18819083018d392ba4b2fa completed March 2, 2026, 1:17 a.m.
Created at: March 1, 2026, 7:32 p.m.