Triple

T3661211
Position Surface form Disambiguated ID Type / Status
Subject Tortola E77651 entity
Predicate hasSettlement P1068 FINISHED
Object Belle Vue
Belle Vue is a small settlement on the island of Tortola in the British Virgin Islands.
E378071 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 | Statement: [Tortola, hasSettlement, Belle Vue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Belle Vue
Context triple: [Tortola, hasSettlement, Belle Vue]
  • A. Belle Vue
    Belle Vue was a historic football stadium in Doncaster, England, best known as the long-time home of Doncaster Rovers F.C.
  • B. Belle Vue
    Belle Vue is a district in Manchester, England, historically known for its former zoological gardens and amusement park.
  • C. Astley Park
    Astley Park is a historic public park in Chorley, Lancashire, known for its landscaped grounds, woodland, and the Grade I listed Astley Hall.
  • D. 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.
  • E. Wigan Pier
    Wigan Pier is a historic industrial waterfront site in Wigan, England, famously associated with George Orwell’s book "The Road to Wigan Pier."
  • 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
Triple: [Tortola, hasSettlement, Belle Vue]
Generated description
Belle Vue is a small settlement on the island of Tortola in the British Virgin Islands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Belle Vue
Target entity description: Belle Vue is a small settlement on the island of Tortola in the British Virgin Islands.
  • A. Belle Vue
    Belle Vue was a historic football stadium in Doncaster, England, best known as the long-time home of Doncaster Rovers F.C.
  • B. Belle Vue
    Belle Vue is a district in Manchester, England, historically known for its former zoological gardens and amusement park.
  • C. Astley Park
    Astley Park is a historic public park in Chorley, Lancashire, known for its landscaped grounds, woodland, and the Grade I listed Astley Hall.
  • D. 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.
  • E. Wigan Pier
    Wigan Pier is a historic industrial waterfront site in Wigan, England, famously associated with George Orwell’s book "The Road to Wigan Pier."
  • 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_69ad85dfc4dc8190a441864202ab2a7a completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc3d6fa188190a6db5bdae7083573 completed March 8, 2026, 6:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b48844a380819084c4627a95b4cb3c completed March 13, 2026, 9:57 p.m.
NEDg Description generation batch_69b48b1e425481908da667914d1a71e6 completed March 13, 2026, 10:09 p.m.
NED2 Entity disambiguation (via description) batch_69b4aefb58448190b7d34343a5dbb0f6 completed March 14, 2026, 12:42 a.m.
Created at: March 8, 2026, 3:25 p.m.