Triple

T20066334
Position Surface form Disambiguated ID Type / Status
Subject Soraya Esfandiary-Bakhtiary E499615 entity
Predicate educatedAt P5 FINISHED
Object Roehampton, England
Roehampton, England is a suburban district in southwest London known for its educational institutions, green spaces, and residential character.
E1410875 NE FINISHED

How this triple was built (3 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.

NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roehampton, England
Context triple: [Soraya Esfandiary-Bakhtiary, educatedAt, Roehampton, England]
  • A. Camberwell, London, England
    Camberwell, London, England is a district in the London Borough of Southwark known for its diverse community, vibrant arts scene, and proximity to central London.
  • B. Belmont, Surrey, England
    Belmont, Surrey, England is a suburban area in the London commuter belt, known as the birthplace of Formula One World Champion James Hunt.
  • C. Lambeth, London, England
    Lambeth is a central London district on the south bank of the River Thames, known for its historic parish, diverse communities, and proximity to landmarks such as Westminster and the South Bank.
  • D. Richmond, Surrey, England
    Richmond, Surrey, England is a historic town on the River Thames in southwest London, long associated with English royalty and aristocratic residences.
  • E. York, England
    York, England is a historic walled city in northern England renowned for its medieval architecture, including York Minster, and its rich Roman and Viking heritage.
  • 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: Roehampton, England
Triple: [Soraya Esfandiary-Bakhtiary, educatedAt, Roehampton, England]
Generated description
Roehampton, England is a suburban district in southwest London known for its educational institutions, green spaces, and residential character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Roehampton, England
Target entity description: Roehampton, England is a suburban district in southwest London known for its educational institutions, green spaces, and residential character.
  • A. Camberwell, London, England
    Camberwell, London, England is a district in the London Borough of Southwark known for its diverse community, vibrant arts scene, and proximity to central London.
  • B. Belmont, Surrey, England
    Belmont, Surrey, England is a suburban area in the London commuter belt, known as the birthplace of Formula One World Champion James Hunt.
  • C. Lambeth, London, England
    Lambeth is a central London district on the south bank of the River Thames, known for its historic parish, diverse communities, and proximity to landmarks such as Westminster and the South Bank.
  • D. Richmond, Surrey, England
    Richmond, Surrey, England is a historic town on the River Thames in southwest London, long associated with English royalty and aristocratic residences.
  • E. York, England
    York, England is a historic walled city in northern England renowned for its medieval architecture, including York Minster, and its rich Roman and Viking heritage.
  • F. None of above. chosen

Provenance (4 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_69da6276bcf48190aabbf279192a5fb4 completed April 11, 2026, 3:02 p.m.
NED1 Entity disambiguation (via context triple) batch_6a081f38a7d88190ab158529cea64f87 completed May 16, 2026, 7:39 a.m.
NEDg Description generation batch_6a0823b9f6b081908b71f1061446e31e completed May 16, 2026, 7:58 a.m.
NED2 Entity disambiguation (via description) batch_6a08247ad2b0819095315aec25816448 completed May 16, 2026, 8:02 a.m.
Created at: April 11, 2026, 3:39 p.m.