Triple

T17602236
Position Surface form Disambiguated ID Type / Status
Subject St George’s Church, Kencot E428729 entity
Predicate administrativeParish P2739 FINISHED
Object Kencot 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: Kencot | Statement: [St George’s Church, Kencot, administrativeParish, Kencot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kencot
Context triple: [St George’s Church, Kencot, administrativeParish, Kencot]
  • A. Kencot chosen
    Kencot is a small rural village in Oxfordshire, England, known for its historic stone cottages and traditional Cotswold character.
  • B. Cinkota
    Cinkota is a suburban neighborhood in the 16th district of Budapest, known for its residential character and village-like atmosphere on the city’s eastern outskirts.
  • C. Kokonor
    Kokonor is the Mongolian name for Qinghai Lake, a large saline lake on the northeastern Tibetan Plateau in China.
  • D. Kertosono
    Kertosono is a town in East Java, Indonesia, known as a regional transport hub linking major cities and routes across the province.
  • E. Kandau
    Kandau is a town in present-day Latvia historically known as the birthplace of the German experimental psychologist Oswald Külpe.
  • 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_69d889e1c6148190ba76241e74688f8b completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46c49dbe081909bd39879c70fe27c completed April 19, 2026, 5:46 a.m.
Created at: April 10, 2026, 5:51 a.m.