Triple

T10160185
Position Surface form Disambiguated ID Type / Status
Subject Kington Walking Festival E233867 entity
Predicate relatedTo P37 FINISHED
Object Kington E42591 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: Kington | Statement: [Kington Walking Festival, relatedTo, Kington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kington
Context triple: [Kington Walking Festival, relatedTo, Kington]
  • A. Kington chosen
    Kington is a small historic market town in Herefordshire, England, near the Welsh border, known for its scenic countryside and walking trails.
  • B. Ketteringham
    Ketteringham is a small village and civil parish in Norfolk, England, known for its rural character and historic parish church.
  • C. Kingham
    Kingham is a picturesque rural village in the Cotswolds area of Oxfordshire, England, known for its traditional stone cottages and countryside setting.
  • D. Kellerton
    Kellerton is a small town located in Ringgold County in southern Iowa, United States.
  • E. Carlysle
    Carlysle is an alternative spelling of the surname and given name "Carlyle," which is of English and Scottish origin.
  • 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_69ca848e80748190b91d1e04d35512c7 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec5831e481909b48fdfa8f1c670b completed April 2, 2026, 4:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d65296ee98819096de701e3b945001 completed April 8, 2026, 1:05 p.m.
Created at: March 30, 2026, 9:09 p.m.