Triple

T20175721
Position Surface form Disambiguated ID Type / Status
Subject Well dressing E492089 entity
Predicate notableIn P22 FINISHED
Object Tissington NE NERFINISHED

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: Tissington | Statement: [Well dressing, notableIn, Tissington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tissington
Context triple: [Well dressing, notableIn, Tissington]
  • A. Tissington chosen
    Tissington is a picturesque village in Derbyshire, England, known for its historic estate, traditional well dressing celebrations, and location within the Peak District National Park.
  • B. Tetbury
    Tetbury is a historic market town in the Cotswolds region of southwest England, known for its wool-trading heritage and well-preserved medieval and Georgian architecture.
  • C. Titterton
    Titterton is a surname most notably associated with Ernest Titterton, a British-born nuclear physicist involved in early atomic research.
  • D. Tytherington
    Tytherington is a small village and civil parish in South Gloucestershire, England, known for its rural character and historic buildings.
  • E. Tytherington
    Tytherington is a small village in Wiltshire, England, known for its rural character and historic association with the nearby parish of Heytesbury.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6266c6888190bc1a3ecf24814d34 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e668eb50a48190af7de53680ca2f5d completed April 20, 2026, 5:56 p.m.
Created at: April 11, 2026, 11:36 p.m.