Triple

T2115100
Position Surface form Disambiguated ID Type / Status
Subject Kington E42591 entity
Predicate hasParish P35 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, hasParish, Kington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kington
Context triple: [Kington, hasParish, 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. Gilston
    Gilston is a small village in Hertfordshire, England, situated near the town of Harlow and known for its rural character and planned large-scale housing developments.
  • E. Knelston
    Knelston is a small rural village located on the Gower Peninsula in South Wales, known for its scenic coastal surroundings and traditional Welsh character.
  • 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_69a8871040f08190aac2e2d0ab6b47ad completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abbb0724e08190a0a4210d86261d6d completed March 7, 2026, 5:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58cd22c8819096dfd06d16703bf8 completed March 9, 2026, 5:21 a.m.
Created at: March 4, 2026, 7:43 p.m.