Triple

T1856911
Position Surface form Disambiguated ID Type / Status
Subject Norwich E41722 entity
Predicate hasShoppingCentre P4285 FINISHED
Object Chapelfield
Chapelfield is a major shopping centre in Norwich, England, featuring a wide range of retail stores, dining options, and leisure facilities.
E207872 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: Chapelfield | Statement: [Norwich, hasShoppingCentre, Chapelfield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chapelfield
Context triple: [Norwich, hasShoppingCentre, Chapelfield]
  • A. Leafield
    Leafield is a rural village in West Oxfordshire, England, known for its traditional Cotswold character and surrounding countryside.
  • B. Highworth
    Highworth is a historic market town in Wiltshire, England, known for its elevated position and traditional architecture.
  • C. Clanfield
    Clanfield is a small rural village in Oxfordshire, England, known for its traditional stone cottages and historic parish church.
  • D. Chicksands
    Chicksands is a British military base in Bedfordshire, England, historically known for its intelligence and signals operations and now home to the headquarters of the British Army’s Intelligence Corps.
  • E. Rushworth
    Rushworth is the middle name of Lord Jellicoe, a British naval officer and statesman who served as First Sea Lord during World War I.
  • 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: Chapelfield
Triple: [Norwich, hasShoppingCentre, Chapelfield]
Generated description
Chapelfield is a major shopping centre in Norwich, England, featuring a wide range of retail stores, dining options, and leisure facilities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Chapelfield
Target entity description: Chapelfield is a major shopping centre in Norwich, England, featuring a wide range of retail stores, dining options, and leisure facilities.
  • A. Leafield
    Leafield is a rural village in West Oxfordshire, England, known for its traditional Cotswold character and surrounding countryside.
  • B. Highworth
    Highworth is a historic market town in Wiltshire, England, known for its elevated position and traditional architecture.
  • C. Clanfield
    Clanfield is a small rural village in Oxfordshire, England, known for its traditional stone cottages and historic parish church.
  • D. Chicksands
    Chicksands is a British military base in Bedfordshire, England, historically known for its intelligence and signals operations and now home to the headquarters of the British Army’s Intelligence Corps.
  • E. Rushworth
    Rushworth is the middle name of Lord Jellicoe, a British naval officer and statesman who served as First Sea Lord during World War I.
  • 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_69a8864a83848190a4ec02721306c511 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb07fc5f08190a195a2f24d7b858a completed March 7, 2026, 4:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69add1cb5b708190a0b89b157ea9da58 completed March 8, 2026, 7:45 p.m.
NEDg Description generation batch_69add2729498819082f6595c57f545a8 completed March 8, 2026, 7:48 p.m.
NED2 Entity disambiguation (via description) batch_69add32c32b08190be6624eefa2fa386 completed March 8, 2026, 7:51 p.m.
Created at: March 4, 2026, 7:33 p.m.