Triple

T3525981
Position Surface form Disambiguated ID Type / Status
Subject Yeovil E74538 entity
Predicate near P350 FINISHED
Object Sherborne E353947 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: Sherborne | Statement: [Yeovil, near, Sherborne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sherborne
Context triple: [Yeovil, near, Sherborne]
  • A. Sherborne
    Sherborne is a small rural village in West Oxfordshire, England, known for its traditional Cotswold stone buildings and picturesque countryside setting.
  • B. Sherborne chosen
    Sherborne is a historic market town in southwest England renowned for its medieval abbey, castles, and well-preserved architecture.
  • C. Pershore
    Pershore is a historic market town on the River Avon in Worcestershire, England, known for its Georgian architecture and annual plum festival.
  • D. Brize Norton
    Brize Norton is a village in Oxfordshire, England, best known for its proximity to RAF Brize Norton, one of the UK’s largest and busiest Royal Air Force stations.
  • E. Shrivenham
    Shrivenham is a village in Oxfordshire, England, known for its historic high street, rural setting, and association with nearby military and academic institutions.
  • 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_69ad85d0c5488190a3d8e02ebd01a1aa completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc6a8d0c819094d38b9c47fb67b4 completed March 8, 2026, 6:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e8de2648190809369c3f0b7d85d completed March 13, 2026, 3:03 a.m.
Created at: March 8, 2026, 3:19 p.m.