Triple

T7717131
Position Surface form Disambiguated ID Type / Status
Subject University College Hospital E174913 entity
Predicate partOf P40 FINISHED
Object University College London Hospitals NHS Foundation Trust
University College London Hospitals NHS Foundation Trust is a major NHS organization in central London that runs several leading teaching and research hospitals affiliated with University College London.
E174913 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: University College London Hospitals NHS Foundation Trust | Statement: [University College Hospital, partOf, University College London Hospitals NHS Foundation Trust]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: University College London Hospitals NHS Foundation Trust
Context triple: [University College Hospital, partOf, University College London Hospitals NHS Foundation Trust]
  • A. Imperial College Healthcare NHS Trust
    Imperial College Healthcare NHS Trust is a major NHS trust in London that runs several leading teaching hospitals and provides a wide range of acute and specialist healthcare services in partnership with Imperial College London.
  • B. King's College Hospital NHS Foundation Trust
    King's College Hospital NHS Foundation Trust is a major NHS organisation in London that runs King's College Hospital and associated healthcare services, providing specialist and acute medical care.
  • C. Cambridge University Hospitals NHS Foundation Trust
    Cambridge University Hospitals NHS Foundation Trust is a major NHS teaching and research hospital group in Cambridge, England, that provides specialist and general healthcare services in partnership with the University of Cambridge.
  • D. 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.
  • E. University College Hospital
    University College Hospital is a major teaching hospital in London, England, closely associated with University College London and known for its advanced clinical services and medical research.
  • 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: University College London Hospitals NHS Foundation Trust
Triple: [University College Hospital, partOf, University College London Hospitals NHS Foundation Trust]
Generated description
University College London Hospitals NHS Foundation Trust is a major NHS organization in central London that runs several leading teaching and research hospitals affiliated with University College London.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: University College London Hospitals NHS Foundation Trust
Target entity description: University College London Hospitals NHS Foundation Trust is a major NHS organization in central London that runs several leading teaching and research hospitals affiliated with University College London.
  • A. Imperial College Healthcare NHS Trust
    Imperial College Healthcare NHS Trust is a major NHS trust in London that runs several leading teaching hospitals and provides a wide range of acute and specialist healthcare services in partnership with Imperial College London.
  • B. King's College Hospital NHS Foundation Trust
    King's College Hospital NHS Foundation Trust is a major NHS organisation in London that runs King's College Hospital and associated healthcare services, providing specialist and acute medical care.
  • C. Cambridge University Hospitals NHS Foundation Trust
    Cambridge University Hospitals NHS Foundation Trust is a major NHS teaching and research hospital group in Cambridge, England, that provides specialist and general healthcare services in partnership with the University of Cambridge.
  • D. 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.
  • E. University College Hospital chosen
    University College Hospital is a major teaching hospital in London, England, closely associated with University College London and known for its advanced clinical services and medical research.
  • F. None of above.

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_69c6995c463c8190a14458036249d419 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c702cd0ddc8190aa23d998f55d0bd6 completed March 27, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b50cf3208190af9bb2d4126d381b completed March 29, 2026, 5:13 a.m.
NEDg Description generation batch_69c8b7d8b4b081908f8739a91e96e6ec completed March 29, 2026, 5:25 a.m.
NED2 Entity disambiguation (via description) batch_69c8b845194c8190b65257cc02b09e6c completed March 29, 2026, 5:27 a.m.
Created at: March 27, 2026, 4:05 p.m.