Triple

T15720619
Position Surface form Disambiguated ID Type / Status
Subject West Norfolk E381082 entity
Predicate containsSettlement P847 FINISHED
Object Walsoken E51591 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: Walsoken | Statement: [West Norfolk, containsSettlement, Walsoken]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walsoken
Context triple: [West Norfolk, containsSettlement, Walsoken]
  • A. Walsoken chosen
    Walsoken is a village and civil parish in Norfolk, England, known for its historic church and rural setting near the town of Wisbech.
  • B. Southwold
    Southwold is a residential neighbourhood within the town of Bicester in Oxfordshire, England.
  • C. Southwold
    Southwold is a small seaside town and popular tourist resort on the North Sea coast of Suffolk, England, known for its pier, beach huts, and historic lighthouse.
  • D. Stourmouth
    Stourmouth is a small rural village in Kent, England, situated near the River Stour and known for its historic church and countryside setting.
  • E. Walmington-on-Sea
    Walmington-on-Sea is a fictional English seaside town best known as the home of the bumbling Home Guard platoon in the Dad’s Army franchise.
  • 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fb0b51081908e652ec4992296fa completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff75852cf88190be054160d5cbc675 completed May 9, 2026, 5:57 p.m.
Created at: April 10, 2026, 4:45 a.m.