Triple

T23090774
Position Surface form Disambiguated ID Type / Status
Subject Willingdon E575741 entity
Predicate civilParish P2739 FINISHED
Object Willingdon and Jevington 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: Willingdon and Jevington | Statement: [Willingdon, civilParish, Willingdon and Jevington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Willingdon and Jevington
Context triple: [Willingdon, civilParish, Willingdon and Jevington]
  • A. Willingdon chosen
    Willingdon is a village in East Sussex, England, situated near the town of Hailsham.
  • B. Wivelsfield
    Wivelsfield is a rural village and civil parish in East Sussex, England, known for its historic church and countryside setting near Haywards Heath.
  • C. Withington
    Withington is a residential suburb in south Manchester, England, known for its mixed student and professional population and good transport links to the city centre.
  • D. Withington
    Withington is a village in Gloucestershire, England, known for its picturesque rural setting in the Cotswolds.
  • E. Thurne
    Thurne is a small village in Norfolk, England, known for its location within the Norfolk Broads and its iconic Thurne windpump.
  • 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_69e245bf3e3c819086d3448720efc01b completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18da99bec81908ecadf8dab10d1b7 completed April 29, 2026, 4:48 a.m.
Created at: April 17, 2026, 3:57 p.m.