Triple

T20762579
Position Surface form Disambiguated ID Type / Status
Subject Town of Amherstburg E511008 entity
Predicate contains P35 FINISHED
Object Belle Vue House
Belle Vue House is a historic 19th-century residence in Amherstburg, Ontario, noted for its architectural significance and heritage value.
 E1449829 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 House | Statement: [Town of Amherstburg, contains, Belle Vue House]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Belle Vue House
Context triple: [Town of Amherstburg, contains, Belle Vue House]
  • A. 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.
  • 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 district in Manchester, England, historically known for its former zoological gardens and amusement park.
  • D. Belle Vue
    Belle Vue is a small settlement on the island of Tortola in the British Virgin Islands.
  • E. Belle Vue Park
    Belle Vue Park is a public green space in Sudbury, England, offering recreational areas, walking paths, and community amenities.
  • 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 House
Triple: [Town of Amherstburg, contains, Belle Vue House]
Generated description
Belle Vue House is a historic 19th-century residence in Amherstburg, Ontario, noted for its architectural significance and heritage value.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Belle Vue House
Target entity description: Belle Vue House is a historic 19th-century residence in Amherstburg, Ontario, noted for its architectural significance and heritage value.
  • A. 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.
  • 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 district in Manchester, England, historically known for its former zoological gardens and amusement park.
  • D. Belle Vue
    Belle Vue is a small settlement on the island of Tortola in the British Virgin Islands.
  • E. Belle Vue Park
    Belle Vue Park is a public green space in Sudbury, England, offering recreational areas, walking paths, and community amenities.
  • 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_69e0b4c909ec8190b05987f1639513f6 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c24a154c8190a9062923308d2411 completed April 21, 2026, 12:18 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08ef893de48190811d4d34296ce34d completed May 16, 2026, 10:28 p.m.
NEDg Description generation batch_6a08f34a218c81909fe2573f4549411c completed May 16, 2026, 10:44 p.m.
NED2 Entity disambiguation (via description) batch_6a08f3fc2ec88190a7a7eed11d51ec8e completed May 16, 2026, 10:47 p.m.
Created at: April 16, 2026, 12:35 p.m.