Triple

T23377853
Position Surface form Disambiguated ID Type / Status
Subject Scrooby E593655 entity
Predicate near P350 FINISHED
Object Bawtry 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: Bawtry | Statement: [Scrooby, near, Bawtry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bawtry
Context triple: [Scrooby, near, Bawtry]
  • A. Bawtry chosen
    Bawtry is a small historic market town in South Yorkshire, England, known for its traditional high street and role as a local commercial and transport hub.
  • B. Kilworth
    Kilworth is a small community located within the municipality of Middlesex Centre in southwestern Ontario, Canada.
  • C. Kilworth
    Kilworth is a small village in County Cork, Ireland, known for its rural setting and proximity to the Galtee Mountains.
  • D. Swarkestone
    Swarkestone is a small village in Derbyshire, England, known for its historic Swarkestone Bridge over the River Trent.
  • E. Scawby
    Scawby is a rural village and civil parish in North Lincolnshire, England, known for its historic estate and traditional English 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_69e25d268a50819095f2fd479da8ef3f completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a3b526ec8190b0304c72a9010abb completed April 29, 2026, 6:22 a.m.
Created at: April 17, 2026, 5:33 p.m.