Triple

T1862719
Position Surface form Disambiguated ID Type / Status
Subject Newington Green, London E34851 entity
Predicate nearbyArea P2064 FINISHED
Object Canonbury
Canonbury is a largely residential district in the London Borough of Islington, known for its historic Georgian and Victorian architecture and literary associations.
 E213041 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: Canonbury | Statement: [Newington Green, London, nearbyArea, Canonbury]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Canonbury
Context triple: [Newington Green, London, nearbyArea, Canonbury]
  • A. Banstead
    Banstead is a suburban town in southeast England known for its village-like high street and green spaces within the county of Surrey.
  • B. Beckenham
    Beckenham is a suburban town in southeast London known for its residential character, green spaces, and commuter links into central London.
  • C. Sevenoaks
    Sevenoaks is a commuter town in Kent, England, known for its historic market center, surrounding countryside, and proximity to London.
  • D. Addlestone
    Addlestone is a suburban town in southeast England known for its residential character and proximity to London.
  • E. Saffron Walden
    Saffron Walden is a historic market town in Essex, England, known for its well-preserved medieval architecture and former saffron trade.
  • 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: Canonbury
Triple: [Newington Green, London, nearbyArea, Canonbury]
Generated description
Canonbury is a largely residential district in the London Borough of Islington, known for its historic Georgian and Victorian architecture and literary associations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Canonbury
Target entity description: Canonbury is a largely residential district in the London Borough of Islington, known for its historic Georgian and Victorian architecture and literary associations.
  • A. Banstead
    Banstead is a suburban town in southeast England known for its village-like high street and green spaces within the county of Surrey.
  • B. Beckenham
    Beckenham is a suburban town in southeast London known for its residential character, green spaces, and commuter links into central London.
  • C. Sevenoaks
    Sevenoaks is a commuter town in Kent, England, known for its historic market center, surrounding countryside, and proximity to London.
  • D. Addlestone
    Addlestone is a suburban town in southeast England known for its residential character and proximity to London.
  • E. Saffron Walden
    Saffron Walden is a historic market town in Essex, England, known for its well-preserved medieval architecture and former saffron trade.
  • 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_69a88600b2f88190bc09303e68ab517e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abb09f856c8190807a7cf2a5f49fcb completed March 7, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69adeaddc9188190bd49d6605fd0e812 completed March 8, 2026, 9:32 p.m.
NEDg Description generation batch_69adeb5118608190be99a12b7f6b97c5 completed March 8, 2026, 9:34 p.m.
NED2 Entity disambiguation (via description) batch_69adec25a87081908f098df81de6eafb completed March 8, 2026, 9:37 p.m.
Created at: March 4, 2026, 7:34 p.m.