Triple

T6889303
Position Surface form Disambiguated ID Type / Status
Subject Battle of Edge Hill E159003 entity
Predicate near P350 FINISHED
Object Kineton E625749 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: Kineton | Statement: [Battle of Edge Hill, near, Kineton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kineton
Context triple: [Battle of Edge Hill, near, Kineton]
  • A. Kineton chosen
    Kineton is a village in Warwickshire, England, known for its proximity to the historic Edgehill battlefield of the English Civil War.
  • B. Hinckley
    Hinckley is a market town in southwest Leicestershire, England, known historically for its hosiery industry and its location between Coventry and Leicester.
  • C. Hinckley
    Hinckley is a small town in central Utah, United States, known for its rural agricultural setting and proximity to the Sevier Desert.
  • D. Keele
    Keele is a village in Staffordshire, England, best known as the home of Keele University and its extensive rural campus.
  • E. Kettering
    Kettering is a surname most notably associated with American inventor and engineer Charles F. Kettering, known for his influential contributions to automotive and industrial technology.
  • 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_69c6883568c8819081db6407e892cccc completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d9117c84819093dad7b765337b63 completed March 27, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c748cc2f908190b593cd82133a7b16 completed March 28, 2026, 3:19 a.m.
Created at: March 27, 2026, 2:23 p.m.