Triple

T10739099
Position Surface form Disambiguated ID Type / Status
Subject Whittington, Norfolk E253273 entity
Predicate hasName P744 FINISHED
Object Whittington E253273 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: Whittington | Statement: [Whittington, Norfolk, hasName, Whittington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Whittington
Context triple: [Whittington, Norfolk, hasName, Whittington]
  • A. Whittington
    Whittington is a University College London campus site associated primarily with medical and clinical education and research activities.
  • B. Whittington chosen
    Whittington is a small village in Norfolk, England, known for its rural character and proximity to the River Wissey.
  • C. Keyworth
    Keyworth is a large village in Nottinghamshire, England, functioning as a commuter settlement near Nottingham with local amenities and community facilities.
  • D. Beeston
    Beeston is a suburban town just southwest of Nottingham in England, known for its residential character, local amenities, and proximity to the University of Nottingham.
  • E. Goodworth Clatford
    Goodworth Clatford is a small rural village in Hampshire, England, known for its traditional English countryside character and proximity to the town of Andover.
  • 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_69d6aa5e51e8819095f06881cecf152e completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d710424d8c81908ee9b59d622f2af5 completed April 9, 2026, 2:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69de558f26e88190a9cb8f4d0539e5a5 completed April 14, 2026, 2:56 p.m.
Created at: April 8, 2026, 9:14 p.m.