Triple

T1163313
Position Surface form Disambiguated ID Type / Status
Subject Epsom E24540 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Chessington
Chessington is a suburban area in the Royal Borough of Kingston upon Thames in southwest London, known for the Chessington World of Adventures Resort theme park and zoo.
 E213588 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: Chessington | Statement: [Epsom, hasNearbySettlement, Chessington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Chessington
Context triple: [Epsom, hasNearbySettlement, Chessington]
  • A. Chobham
    Chobham is a village and civil parish in Surrey, England, known for its rural character, common land, and historic buildings.
  • B. Isleworth
    Isleworth is a suburban town in West London, England, known for hosting major media and broadcasting facilities.
  • C. Chertsey
    Chertsey is a historic town in southeast England, known for its medieval abbey heritage and location on the River Thames.
  • D. Berkhamsted
    Berkhamsted is a historic market town in Hertfordshire, England, known for its medieval castle remains and role as a commuter hub northwest of London.
  • E. Esher
    Esher is a suburban town in the borough of Elmbridge in Surrey, England, known for its affluent residential character and proximity to 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: Chessington
Triple: [Epsom, hasNearbySettlement, Chessington]
Generated description
Chessington is a suburban area in the Royal Borough of Kingston upon Thames in southwest London, known for the Chessington World of Adventures Resort theme park and zoo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Chessington
Target entity description: Chessington is a suburban area in the Royal Borough of Kingston upon Thames in southwest London, known for the Chessington World of Adventures Resort theme park and zoo.
  • A. Chobham
    Chobham is a village and civil parish in Surrey, England, known for its rural character, common land, and historic buildings.
  • B. Isleworth
    Isleworth is a suburban town in West London, England, known for hosting major media and broadcasting facilities.
  • C. Chertsey
    Chertsey is a historic town in southeast England, known for its medieval abbey heritage and location on the River Thames.
  • D. Berkhamsted
    Berkhamsted is a historic market town in Hertfordshire, England, known for its medieval castle remains and role as a commuter hub northwest of London.
  • E. Esher
    Esher is a suburban town in the borough of Elmbridge in Surrey, England, known for its affluent residential character and proximity to 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_69a494060e148190abb42f971242c197 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bcc9dc5081908e225a485186ab12 completed March 1, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69adeab57c8c81908b1dbdaf7ba4b29b completed March 8, 2026, 9:31 p.m.
NEDg Description generation batch_69adeccddc788190be7ddb822f1b5d67 completed March 8, 2026, 9:40 p.m.
NED2 Entity disambiguation (via description) batch_69aded53100081909239afdc676e45ab completed March 8, 2026, 9:42 p.m.
Created at: March 1, 2026, 7:45 p.m.