Triple

T10815273
Position Surface form Disambiguated ID Type / Status
Subject Belle Vue E255211 entity
Predicate hasLandmark P105 FINISHED
Object Belle Vue Stadium E255211 NE FINISHED

How this triple was built (2 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 Stadium | Statement: [Belle Vue, hasLandmark, Belle Vue Stadium]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Belle Vue Stadium
Context triple: [Belle Vue, hasLandmark, Belle Vue Stadium]
  • A. Belle Vue
    Belle Vue is a small settlement on the island of Tortola in the British Virgin Islands.
  • B. Belle Vue chosen
    Belle Vue is a district in Manchester, England, historically known for its former zoological gardens and amusement park.
  • 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 was a historic football stadium in Doncaster, England, best known as the long-time home of Doncaster Rovers F.C.
  • E. Philips Park, Manchester
    Philips Park in Manchester is a historic Victorian-era public park featuring landscaped gardens, woodland, and riverside paths along the River Medlock.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d733ece4488190b553a66c4b5188bc completed April 9, 2026, 5:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb0f9e3a081908163b398d845deeb completed April 14, 2026, 9:26 p.m.
Created at: April 8, 2026, 9:18 p.m.