Triple

T12535691
Position Surface form Disambiguated ID Type / Status
Subject Sudbury E299682 entity
Predicate hasGreenSpace P1495 FINISHED
Object Belle Vue Park
Belle Vue Park is a public green space in Sudbury, England, offering recreational areas, walking paths, and community amenities.
 E990018 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: Belle Vue Park | Statement: [Sudbury, hasGreenSpace, Belle Vue Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Belle Vue Park
Context triple: [Sudbury, hasGreenSpace, Belle Vue Park]
  • A. Belle Vue
    Belle Vue is a small settlement on the island of Tortola in the British Virgin Islands.
  • B. Belle Vue
    Belle Vue was a historic football stadium in Doncaster, England, best known as the long-time home of Doncaster Rovers F.C.
  • C. Belle Vue
    Belle Vue is a historic rugby league stadium in Wakefield, West Yorkshire, best known as the long-time home of the Wakefield Trinity club.
  • D. Belle Vue
    Belle Vue is a district in Manchester, England, historically known for its former zoological gardens and amusement park.
  • E. Knowsley Park
    Knowsley Park is a historic deer park and estate in Merseyside, England, surrounding Knowsley Hall and known for its extensive grounds and wildlife.
  • 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: Belle Vue Park
Triple: [Sudbury, hasGreenSpace, Belle Vue Park]
Generated description
Belle Vue Park is a public green space in Sudbury, England, offering recreational areas, walking paths, and community amenities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Belle Vue Park
Target entity description: Belle Vue Park is a public green space in Sudbury, England, offering recreational areas, walking paths, and community amenities.
  • A. Belle Vue
    Belle Vue is a small settlement on the island of Tortola in the British Virgin Islands.
  • B. Belle Vue
    Belle Vue is a historic rugby league stadium in Wakefield, West Yorkshire, best known as the long-time home of the Wakefield Trinity club.
  • C. Belle Vue
    Belle Vue was a historic football stadium in Doncaster, England, best known as the long-time home of Doncaster Rovers F.C.
  • D. Belle Vue
    Belle Vue is a district in Manchester, England, historically known for its former zoological gardens and amusement park.
  • E. Knowsley Park
    Knowsley Park is a historic deer park and estate in Merseyside, England, surrounding Knowsley Hall and known for its extensive grounds and wildlife.
  • 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_69d6ada707008190aaec1238117c9379 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9546d3b2081908d3e0659f8f13678 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6557a95d48190ac588807544f060f completed May 2, 2026, 7:50 p.m.
NEDg Description generation batch_69f6566e7bf88190a33c609caf9b4f3d completed May 2, 2026, 7:54 p.m.
NED2 Entity disambiguation (via description) batch_69f65799ca588190b9f7a07f5c1a842c completed May 2, 2026, 7:59 p.m.
Created at: April 8, 2026, 9:57 p.m.