Triple

T7216611
Position Surface form Disambiguated ID Type / Status
Subject St Mary’s Hospital, London E149552 entity
Predicate partOf P40 FINISHED
Object 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.
E652631 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: Imperial College Academic Health Science Centre | Statement: [St Mary’s Hospital, London, partOf, Imperial College Academic Health Science Centre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Imperial College Academic Health Science Centre
Context triple: [St Mary’s Hospital, London, partOf, Imperial College Academic Health Science Centre]
  • 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. 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.
  • C. Charing Cross Hospital Medical School
    Charing Cross Hospital Medical School was a London-based medical school historically associated with Charing Cross Hospital, known for training physicians and surgeons in the 19th and 20th centuries.
  • D. 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.
  • E. Imperial College London
    Imperial College London is a leading public research university in London renowned for its strengths in science, engineering, medicine, and business.
  • 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: Imperial College Academic Health Science Centre
Triple: [St Mary’s Hospital, London, partOf, Imperial College Academic Health Science Centre]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Imperial College Academic Health Science Centre
Target entity description: 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.
  • 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. 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.
  • C. Charing Cross Hospital Medical School
    Charing Cross Hospital Medical School was a London-based medical school historically associated with Charing Cross Hospital, known for training physicians and surgeons in the 19th and 20th centuries.
  • D. 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.
  • E. Imperial College London
    Imperial College London is a leading public research university in London renowned for its strengths in science, engineering, medicine, and business.
  • 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_69c687eca814819095abb52316b1af80 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6e99000dc81908ef4b70729cc00b0 completed March 27, 2026, 8:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7d381a7288190bbfdb8f1de6b5f05 completed March 28, 2026, 1:11 p.m.
NEDg Description generation batch_69c7d4069d8c8190bf6810f6e97b111a completed March 28, 2026, 1:13 p.m.
NED2 Entity disambiguation (via description) batch_69c7d46b7fcc819082d37f00f541e2cd completed March 28, 2026, 1:15 p.m.
Created at: March 27, 2026, 2:53 p.m.