Triple

T20059925
Position Surface form Disambiguated ID Type / Status
Subject The Swan Inn E499440 entity
Predicate near P350 FINISHED
Object Burford 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: Burford | Statement: [The Swan Inn, near, Burford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burford
Context triple: [The Swan Inn, near, Burford]
  • A. Burford chosen
    Burford is a historic medieval market town in Oxfordshire, England, often regarded as one of the most picturesque settlements in the Cotswolds.
  • B. Bottesford
    Bottesford is a village in Leicestershire, England, known for its historic parish church and rural setting near the River Devon.
  • C. Durford
    Durford is a small settlement in West Sussex, England, situated in the countryside near the River Rother.
  • D. Battisford
    Battisford is a small rural village and civil parish located in the English county of Suffolk.
  • E. Farlington
    Farlington is a small rural village in North Yorkshire, England, situated near the River Foss and known for its historic parish church and agricultural surroundings.
  • 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_69da6276bcf48190aabbf279192a5fb4 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66374f4a48190beb575a6c84ebdb4 completed April 20, 2026, 5:33 p.m.
Created at: April 11, 2026, 3:38 p.m.