Triple

T22142881
Position Surface form Disambiguated ID Type / Status
Subject West Dorset District Council E547209 entity
Predicate administeredCityOrTown P147143 FINISHED
Object Sherborne 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: Sherborne | Statement: [West Dorset District Council, administeredCityOrTown, Sherborne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sherborne
Context triple: [West Dorset District Council, administeredCityOrTown, Sherborne]
  • A. Sherborne chosen
    Sherborne is a historic market town in southwest England renowned for its medieval abbey, castles, and well-preserved architecture.
  • B. Sherborne
    Sherborne is a small rural village in West Oxfordshire, England, known for its traditional Cotswold stone buildings and picturesque countryside setting.
  • C. Malmesbury
    Malmesbury is a historic market town in Wiltshire, England, renowned for its ancient abbey and status as one of the oldest continually inhabited towns in the country.
  • D. Malmesbury
    Malmesbury is a historic agricultural town in South Africa’s Western Cape, known as a service and commercial hub for the surrounding Swartland grain and wine-farming region.
  • E. Cranborne
    Cranborne is a historic village in Dorset, England, known for its medieval church, traditional architecture, and rural countryside setting.
  • 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_69e11e3a95d88190a3bd80d9471976c3 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129bf78108190b50d937917258693 completed April 28, 2026, 9:42 p.m.
Created at: April 16, 2026, 8:32 p.m.