Triple

T22083814
Position Surface form Disambiguated ID Type / Status
Subject Tunbridge Wells Hospital at Pembury E545719 entity
Predicate replaced P101 FINISHED
Object Kent and Sussex Hospital NE NERFINISHED

How this triple was built (3 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: Kent and Sussex Hospital | Statement: [Tunbridge Wells Hospital at Pembury, replaced, Kent and Sussex Hospital]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kent and Sussex Hospital
Context triple: [Tunbridge Wells Hospital at Pembury, replaced, Kent and Sussex Hospital]
  • A. Kent and Canterbury Hospital
    Kent and Canterbury Hospital is a major National Health Service hospital in Canterbury, Kent, providing a range of acute and specialist medical services to the surrounding region.
  • B. Princess of Wales Hospital
    Princess of Wales Hospital is a major district general hospital serving the town of Bridgend and the surrounding area in South Wales.
  • C. Morriston Hospital
    Morriston Hospital is a major teaching and acute care hospital in Swansea, Wales, providing a wide range of specialist and emergency medical services for the region.
  • D. Wexham Park Hospital
    Wexham Park Hospital is a major NHS district general hospital in Slough, Berkshire, providing a wide range of acute and specialist healthcare services to the surrounding region.
  • E. Princess Royal University Hospital
    Princess Royal University Hospital is a major NHS teaching hospital in Locksbottom, London, providing a wide range of acute and specialist healthcare services.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kent and Sussex Hospital
Target entity description: Kent and Sussex Hospital was a former general hospital in Royal Tunbridge Wells, England, that served the local community for much of the 20th century before its services were transferred to the newer Tunbridge Wells Hospital at Pembury.
  • A. Kent and Canterbury Hospital
    Kent and Canterbury Hospital is a major National Health Service hospital in Canterbury, Kent, providing a range of acute and specialist medical services to the surrounding region.
  • B. Princess of Wales Hospital
    Princess of Wales Hospital is a major district general hospital serving the town of Bridgend and the surrounding area in South Wales.
  • C. Morriston Hospital
    Morriston Hospital is a major teaching and acute care hospital in Swansea, Wales, providing a wide range of specialist and emergency medical services for the region.
  • D. Wexham Park Hospital
    Wexham Park Hospital is a major NHS district general hospital in Slough, Berkshire, providing a wide range of acute and specialist healthcare services to the surrounding region.
  • E. Princess Royal University Hospital
    Princess Royal University Hospital is a major NHS teaching hospital in Locksbottom, London, providing a wide range of acute and specialist healthcare services.
  • F. None of above. chosen

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_69e11e3523488190badd54b5d580c00d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128b803f081909a0a121aecf526ae completed April 28, 2026, 9:38 p.m.
Created at: April 16, 2026, 8:28 p.m.