Triple

T2387514
Position Surface form Disambiguated ID Type / Status
Subject Tilney St Lawrence E48857 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Terrington St John E49533 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: Terrington St John | Statement: [Tilney St Lawrence, hasNearbySettlement, Terrington St John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terrington St John
Context triple: [Tilney St Lawrence, hasNearbySettlement, Terrington St John]
  • A. Terrington St John chosen
    Terrington St John is a rural village and civil parish in Norfolk, England, known for its agricultural landscape and historic parish church.
  • B. Terrington St Clement
    Terrington St Clement is a large rural village and civil parish in Norfolk, England, known for its historic church and agricultural surroundings.
  • C. Werrington
    Werrington is a suburban residential area and former village now incorporated into the city of Peterborough in Cambridgeshire, England.
  • D. Taynton
    Taynton is a small rural village located within the district of West Oxfordshire in Oxfordshire, England.
  • E. Wolterton
    Wolterton is an English country estate and civil parish in Norfolk, best known as the setting of the historic Wolterton Hall.
  • 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_69a88aa5f63081908d07fd302029fcbd completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc7db4ee08190a5c114e42bc46f70 completed March 7, 2026, 6:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3cf53088190ba42e03d2de2b36e completed March 9, 2026, 11:49 a.m.
Created at: March 4, 2026, 7:57 p.m.