Triple

T329122
Position Surface form Disambiguated ID Type / Status
Subject Berkshire, England E6585 entity
Predicate containsSettlement P847 FINISHED
Object Slough
Slough is a large industrial and commercial town in southern England, known for its diverse population and proximity to London and Heathrow Airport.
 E58388 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: Slough | Statement: [Berkshire, England, containsSettlement, Slough]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Slough
Context triple: [Berkshire, England, containsSettlement, Slough]
  • A. Esher
    Esher is a suburban town in the borough of Elmbridge in Surrey, England, known for its affluent residential character and proximity to London.
  • B. Wantage
    Wantage is a historic market town in Oxfordshire, England, best known as the birthplace of King Alfred the Great.
  • C. Chertsey
    Chertsey is a historic town in southeast England, known for its medieval abbey heritage and location on the River Thames.
  • D. Staines-upon-Thames
    Staines-upon-Thames is a riverside town in southeast England situated on the River Thames, known historically as a crossing point into London and now as a commuter and commercial center.
  • E. Egham
    Egham is a town in the county of Surrey in southeast England, known for its proximity to Runnymede, where Magna Carta was sealed.
  • 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: Slough
Triple: [Berkshire, England, containsSettlement, Slough]
Generated description
Slough is a large industrial and commercial town in southern England, known for its diverse population and proximity to London and Heathrow Airport.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Slough
Target entity description: Slough is a large industrial and commercial town in southern England, known for its diverse population and proximity to London and Heathrow Airport.
  • A. Esher
    Esher is a suburban town in the borough of Elmbridge in Surrey, England, known for its affluent residential character and proximity to London.
  • B. Wantage
    Wantage is a historic market town in Oxfordshire, England, best known as the birthplace of King Alfred the Great.
  • C. Chertsey
    Chertsey is a historic town in southeast England, known for its medieval abbey heritage and location on the River Thames.
  • D. Staines-upon-Thames
    Staines-upon-Thames is a riverside town in southeast England situated on the River Thames, known historically as a crossing point into London and now as a commuter and commercial center.
  • E. Egham
    Egham is a town in the county of Surrey in southeast England, known for its proximity to Runnymede, where Magna Carta was sealed.
  • 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_69a2e7933d6c8190bb2592ad13286ef2 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2eaad37b0819085beda2a491da9a8 completed Feb. 28, 2026, 1:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69a457fa35988190851216c84ad63232 completed March 1, 2026, 3:15 p.m.
NEDg Description generation batch_69a4585741188190a496ce65520424b4 completed March 1, 2026, 3:16 p.m.
NED2 Entity disambiguation (via description) batch_69a458bb5d988190a706512529efa024 completed March 1, 2026, 3:18 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.