Triple

T7805725
Position Surface form Disambiguated ID Type / Status
Subject Guy’s Hospital E180543 entity
Predicate isTeachingHospitalOf P465 FINISHED
Object King’s College London Dental Institute
King’s College London Dental Institute is a leading UK dental school renowned for its clinical training, research, and education in dentistry and oral health sciences.
 E694383 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: King’s College London Dental Institute | Statement: [Guy’s Hospital, isTeachingHospitalOf, King’s College London Dental Institute]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: King’s College London Dental Institute
Context triple: [Guy’s Hospital, isTeachingHospitalOf, King’s College London Dental Institute]
  • A. Imperial College Academic Health Science Centre
    Imperial College Academic Health Science Centre is a major London-based academic health science partnership that integrates world-class medical research, education, and clinical care across multiple hospitals and Imperial College London.
  • B. Imperial College School of Medicine
    Imperial College School of Medicine is a leading UK medical school within Imperial College London, renowned for its research-intensive education and clinical training across multiple London hospital campuses.
  • C. Wits Oral Health Centre
    Wits Oral Health Centre is a major academic dental and oral health facility affiliated with the University of the Witwatersrand in Johannesburg, providing clinical services, training, and research in dentistry.
  • D. St George's, University of London
    St George's, University of London is a specialist medical university in London renowned for its focus on medicine, health sciences, and biomedical research.
  • E. UCL Medical School
    UCL Medical School is a leading London-based medical education and research institution that forms part of University College London and trains future doctors and clinicians.
  • 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: King’s College London Dental Institute
Triple: [Guy’s Hospital, isTeachingHospitalOf, King’s College London Dental Institute]
Generated description
King’s College London Dental Institute is a leading UK dental school renowned for its clinical training, research, and education in dentistry and oral health sciences.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: King’s College London Dental Institute
Target entity description: King’s College London Dental Institute is a leading UK dental school renowned for its clinical training, research, and education in dentistry and oral health sciences.
  • A. Imperial College Academic Health Science Centre
    Imperial College Academic Health Science Centre is a major London-based academic health science partnership that integrates world-class medical research, education, and clinical care across multiple hospitals and Imperial College London.
  • B. Imperial College School of Medicine
    Imperial College School of Medicine is a leading UK medical school within Imperial College London, renowned for its research-intensive education and clinical training across multiple London hospital campuses.
  • C. Wits Oral Health Centre
    Wits Oral Health Centre is a major academic dental and oral health facility affiliated with the University of the Witwatersrand in Johannesburg, providing clinical services, training, and research in dentistry.
  • D. St George's, University of London
    St George's, University of London is a specialist medical university in London renowned for its focus on medicine, health sciences, and biomedical research.
  • E. UCL Medical School
    UCL Medical School is a leading London-based medical education and research institution that forms part of University College London and trains future doctors and clinicians.
  • 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_69ca827e50cc8190a92a733577184938 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69caf63838b88190a085756db9ca25c4 completed March 30, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb14439c8081908331caf450462a0e completed March 31, 2026, 12:24 a.m.
NEDg Description generation batch_69cb1638c9888190be533d55fd0b494f completed March 31, 2026, 12:32 a.m.
NED2 Entity disambiguation (via description) batch_69cb1a49beb4819090532acabb9391b1 completed March 31, 2026, 12:50 a.m.
Created at: March 30, 2026, 4:35 p.m.