Triple

T3115370
Position Surface form Disambiguated ID Type / Status
Subject London Borough of Croydon E65049 entity
Predicate contains P35 FINISHED
Object Waddon
Waddon is a suburban area in south London, England, known for its residential character, local shopping streets, and proximity to Croydon town centre.
E331712 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: Waddon | Statement: [London Borough of Croydon, contains, Waddon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waddon
Context triple: [London Borough of Croydon, contains, Waddon]
  • A. Waddington
    Waddington is a small village and civil parish in Lancashire, England, known for its picturesque setting in the Ribble Valley and traditional stone-built architecture.
  • B. Warlingham
    Warlingham is a village and civil parish in Surrey, England, situated on the North Downs and functioning largely as a commuter settlement for London.
  • C. Whitton
    Whitton is a village and civil parish located in the county of Suffolk in eastern England.
  • D. Whitton
    Whitton is a suburban residential area in southwest London, known for its local high street, green spaces, and commuter links into central London.
  • E. Banstead
    Banstead is a suburban town in southeast England known for its village-like high street and green spaces within the county of Surrey.
  • 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: Waddon
Triple: [London Borough of Croydon, contains, Waddon]
Generated description
Waddon is a suburban area in south London, England, known for its residential character, local shopping streets, and proximity to Croydon town centre.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Waddon
Target entity description: Waddon is a suburban area in south London, England, known for its residential character, local shopping streets, and proximity to Croydon town centre.
  • A. Waddington
    Waddington is a small village and civil parish in Lancashire, England, known for its picturesque setting in the Ribble Valley and traditional stone-built architecture.
  • B. Warlingham
    Warlingham is a village and civil parish in Surrey, England, situated on the North Downs and functioning largely as a commuter settlement for London.
  • C. Whitton
    Whitton is a village and civil parish located in the county of Suffolk in eastern England.
  • D. Whitton
    Whitton is a suburban residential area in southwest London, known for its local high street, green spaces, and commuter links into central London.
  • E. Banstead
    Banstead is a suburban town in southeast England known for its village-like high street and green spaces within the county of Surrey.
  • 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_69ad857fcc088190b0c4d45a5cde6f61 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada4e40bc48190b9b17c706a2450d5 completed March 8, 2026, 4:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69b224c9ecd481909198bb0a6c0c31e8 completed March 12, 2026, 2:28 a.m.
NEDg Description generation batch_69b2277b5af8819089da78955f88d1a5 completed March 12, 2026, 2:39 a.m.
NED2 Entity disambiguation (via description) batch_69b2280d49248190bcba38d38a7f6947 completed March 12, 2026, 2:42 a.m.
Created at: March 8, 2026, 3:04 p.m.