Triple

T144345
Position Surface form Disambiguated ID Type / Status
Subject Surrey E2921 entity
Predicate borders P224 FINISHED
Object West Sussex
West Sussex is a county in South East England known for its mix of coastal towns, rural countryside, and historic market settlements.
 E26079 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: West Sussex | Statement: [Surrey, borders, West Sussex]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: West Sussex
Context triple: [Surrey, borders, West Sussex]
  • A. East Sussex
    East Sussex is a county in South East England known for its English Channel coastline, the South Downs, and historic towns such as Hastings and Lewes.
  • B. Buckinghamshire
    Buckinghamshire is a ceremonial and non-metropolitan county in South East England, known for its historic towns, Chiltern Hills countryside, and proximity to London.
  • C. Oxfordshire
    Oxfordshire is a historic county in South East England known for the city of Oxford and its prestigious university, as well as its stately homes and rural landscapes.
  • D. Hampshire
    Hampshire is a county on England’s south coast known for its historic cities, naval and military heritage, and mix of rural countryside and coastal areas.
  • E. Surrey
    Surrey is a county in southeast England known for its historic towns, affluent suburbs, 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: West Sussex
Triple: [Surrey, borders, West Sussex]
Generated description
West Sussex is a county in South East England known for its mix of coastal towns, rural countryside, and historic market settlements.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: West Sussex
Target entity description: West Sussex is a county in South East England known for its mix of coastal towns, rural countryside, and historic market settlements.
  • A. East Sussex
    East Sussex is a county in South East England known for its English Channel coastline, the South Downs, and historic towns such as Hastings and Lewes.
  • B. Buckinghamshire
    Buckinghamshire is a ceremonial and non-metropolitan county in South East England, known for its historic towns, Chiltern Hills countryside, and proximity to London.
  • C. Oxfordshire
    Oxfordshire is a historic county in South East England known for the city of Oxford and its prestigious university, as well as its stately homes and rural landscapes.
  • D. Hampshire
    Hampshire is a county on England’s south coast known for its historic cities, naval and military heritage, and mix of rural countryside and coastal areas.
  • E. Surrey
    Surrey is a county in southeast England known for its historic towns, affluent suburbs, 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_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_69a3280fa2e08190a367f06d721ed2a3 completed Feb. 28, 2026, 5:38 p.m.
NEDg Description generation batch_69a328cdb208819087aaa0e6149bef79 completed Feb. 28, 2026, 5:41 p.m.
NED2 Entity disambiguation (via description) batch_69a32921b0408190a13d8e0436d3e145 completed Feb. 28, 2026, 5:42 p.m.
Created at: Feb. 28, 2026, 2:31 a.m.