Triple

T16894936
Position Surface form Disambiguated ID Type / Status
Subject Kington–Knighton section E424273 entity
Predicate namedAfter P63 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–Knighton section, namedAfter, Kington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kington
Context triple: [Kington–Knighton section, namedAfter, 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_69d889da3e8c8190a2b118f383f0beac completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3c8d7aec88190888f13601acbcd77 completed April 18, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfcd0db8819080d415a18b3435e2 completed May 10, 2026, 6:34 p.m.
Created at: April 10, 2026, 5:29 a.m.