Triple

T19210233
Position Surface form Disambiguated ID Type / Status
Subject Ashford, Kent, England E480337 entity
Predicate hasHospital P105 FINISHED
Object William Harvey Hospital 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: William Harvey Hospital | Statement: [Ashford, Kent, England, hasHospital, William Harvey Hospital]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Harvey Hospital
Context triple: [Ashford, Kent, England, hasHospital, William Harvey Hospital]
  • A. William Harvey Hospital chosen
    William Harvey Hospital is a major National Health Service district general hospital serving Ashford and the surrounding areas in Kent, England.
  • B. Southampton Hospital
    Southampton Hospital is a medical center serving the healthcare needs of residents and visitors in Southampton, New York, and the surrounding East End communities.
  • C. William Newton Hospital
    William Newton Hospital is a community healthcare facility serving the medical needs of residents in and around Winfield, Kansas.
  • D. Saint Mary’s Hospital
    Saint Mary’s Hospital is a major acute-care medical center serving the community of Waterbury, Connecticut.
  • E. St. Mary’s Hospital Center
    St. Mary’s Hospital Center is a Montreal-based healthcare institution that serves as a major teaching hospital within the McGill University medical network.
  • 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_69d8e8cb8c348190b52075823911c869 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5f9a0d1248190953e36e44f0cafdd completed April 20, 2026, 10:02 a.m.
Created at: April 10, 2026, 1:21 p.m.