Triple

T16006495
Position Surface form Disambiguated ID Type / Status
Subject Royal Marsden Hospital E388233 entity
Predicate hasSite P1205 FINISHED
Object Sutton E141441 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: Sutton | Statement: [Royal Marsden Hospital, hasSite, Sutton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sutton
Context triple: [Royal Marsden Hospital, hasSite, Sutton]
  • A. Sutton chosen
    Sutton is a large suburban town in South London, England, known as the principal settlement of the London Borough of Sutton.
  • B. Sutton
    Sutton is a district within the Metropolitan Borough of St Helens in Merseyside, England, known historically for its coal mining and industrial heritage.
  • C. Sutton
    Sutton is a small rural village located within the district of West Oxfordshire in England.
  • D. Sutton
    Sutton is a common English surname borne by numerous notable individuals across various fields.
  • E. Sutton
    Sutton is a village and civil parish located in the county of Suffolk in eastern England.
  • 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15800246c8190a298c5f96478c396 completed April 16, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbca65a4819090109589dba7f7a9 completed May 10, 2026, 1:13 a.m.
Created at: April 10, 2026, 4:55 a.m.