Triple

T6319163
Position Surface form Disambiguated ID Type / Status
Subject Howden E141691 entity
Predicate hasAmenity P105 FINISHED
Object St John’s Hospital
St John’s Hospital is a healthcare facility serving the town of Howden and its surrounding area.
 E585318 NE FINISHED

How this triple was built (4 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: St John’s Hospital | Statement: [Howden, hasAmenity, St John’s Hospital]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: St John’s Hospital
Context triple: [Howden, hasAmenity, St John’s Hospital]
  • A. St John’s Hospital
    St John’s Hospital is a major acute general hospital serving Livingston and the wider West Lothian area in Scotland.
  • B. Saint Mary’s Hospital
    Saint Mary’s Hospital is a major acute-care medical center serving the community of Waterbury, Connecticut.
  • C. St. Mary’s General Hospital
    St. Mary’s General Hospital is a regional acute-care hospital in Kitchener, Ontario, known for providing comprehensive medical and surgical services to the surrounding community.
  • D. 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.
  • E. William Harvey Hospital
    William Harvey Hospital is a major National Health Service district general hospital serving Ashford and the surrounding areas in Kent, England.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: St John’s Hospital
Triple: [Howden, hasAmenity, St John’s Hospital]
Generated description
St John’s Hospital is a healthcare facility serving the town of Howden and its surrounding area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: St John’s Hospital
Target entity description: St John’s Hospital is a healthcare facility serving the town of Howden and its surrounding area.
  • A. St John’s Hospital
    St John’s Hospital is a major acute general hospital serving Livingston and the wider West Lothian area in Scotland.
  • B. Saint Mary’s Hospital
    Saint Mary’s Hospital is a major acute-care medical center serving the community of Waterbury, Connecticut.
  • C. St. Mary’s General Hospital
    St. Mary’s General Hospital is a regional acute-care hospital in Kitchener, Ontario, known for providing comprehensive medical and surgical services to the surrounding community.
  • D. 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.
  • E. William Harvey Hospital
    William Harvey Hospital is a major National Health Service district general hospital serving Ashford and the surrounding areas in Kent, England.
  • F. None of above. chosen

Provenance (5 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_69c008d13b8c8190be47d896eb735605 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c064c4ed7c8190bd066dc7cd3d1329 completed March 22, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e48485308190adc2208ad46faaa7 completed March 27, 2026, 1:59 a.m.
NEDg Description generation batch_69c5f50ea1f08190bc475eab7b3ec6f0 completed March 27, 2026, 3:10 a.m.
NED2 Entity disambiguation (via description) batch_69c5f57691cc8190b07ecfa16d1eac20 completed March 27, 2026, 3:11 a.m.
Created at: March 22, 2026, 4:29 p.m.