Triple

T144377
Position Surface form Disambiguated ID Type / Status
Subject Surrey E2921 entity
Predicate containsSettlement P847 FINISHED
Object Cobham
Cobham is a prosperous village in the English county of Surrey, known for its affluent residential areas, green surroundings, and proximity to London.
 E26463 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: Cobham | Statement: [Surrey, containsSettlement, Cobham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cobham
Context triple: [Surrey, containsSettlement, Cobham]
  • A. Camberley
    Camberley is a suburban town in southeast England known for its shopping centre, commuter links to London, and proximity to the Royal Military Academy Sandhurst.
  • B. Oxted
    Oxted is a commuter town in southeast England known for its proximity to London and location at the foot of the North Downs.
  • C. Farnham
    Farnham is a historic market town in southern England known for its Georgian streets, medieval castle, and surrounding Surrey countryside.
  • D. Banstead
    Banstead is a suburban town in southeast England known for its village-like high street and green spaces within the county of Surrey.
  • 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: Cobham
Triple: [Surrey, containsSettlement, Cobham]
Generated description
Cobham is a prosperous village in the English county of Surrey, known for its affluent residential areas, green surroundings, and proximity to London.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cobham
Target entity description: Cobham is a prosperous village in the English county of Surrey, known for its affluent residential areas, green surroundings, and proximity to London.
  • A. Camberley
    Camberley is a suburban town in southeast England known for its shopping centre, commuter links to London, and proximity to the Royal Military Academy Sandhurst.
  • B. Oxted
    Oxted is a commuter town in southeast England known for its proximity to London and location at the foot of the North Downs.
  • C. Farnham
    Farnham is a historic market town in southern England known for its Georgian streets, medieval castle, and surrounding Surrey countryside.
  • D. Banstead
    Banstead is a suburban town in southeast England known for its village-like high street and green spaces within the county of Surrey.
  • E. Esher chosen
    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.

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_69a2521e35c08190b28e5c9f1e3c9b59 completed Feb. 28, 2026, 2:25 a.m.
NER Named-entity recognition batch_69a257e935bc8190a03e54a10e9ba6f7 completed Feb. 28, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69a36473a3d88190b20052b2c0d272a2 completed Feb. 28, 2026, 9:56 p.m.
NEDg Description generation batch_69a365272a248190866d714fc51b5cba completed Feb. 28, 2026, 9:59 p.m.
NED2 Entity disambiguation (via description) batch_69a3658e27bc8190a97ede95a99bc187 completed Feb. 28, 2026, 10 p.m.
Created at: Feb. 28, 2026, 2:31 a.m.