Triple

T7617396
Position Surface form Disambiguated ID Type / Status
Subject St Mary’s campus E172395 entity
Predicate partOf P40 FINISHED
Object Imperial College London medical campuses network
Imperial College London medical campuses network is the collective group of the university’s teaching hospitals and clinical sites that support its medical education, research, and healthcare delivery.
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 London medical campuses network | Statement: [St Mary’s campus, partOf, Imperial College London medical campuses network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Imperial College London medical campuses network
Context triple: [St Mary’s campus, partOf, Imperial College London medical campuses network]
  • 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. University College London Hospitals biomedical research network
    The University College London Hospitals biomedical research network is a major academic health science partnership that coordinates and supports cutting-edge clinical and translational research across UCL-affiliated hospitals and institutes in London.
  • D. 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.
  • E. UCL Faculty of Medical Sciences
    UCL Faculty of Medical Sciences is a major academic division of University College London that focuses on medical education, biomedical research, and clinical training in partnership with leading hospitals and research institutes.
  • 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 London medical campuses network
Triple: [St Mary’s campus, partOf, Imperial College London medical campuses network]
Generated description
Imperial College London medical campuses network is the collective group of the university’s teaching hospitals and clinical sites that support its medical education, research, and healthcare delivery.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Imperial College London medical campuses network
Target entity description: Imperial College London medical campuses network is the collective group of the university’s teaching hospitals and clinical sites that support its medical education, research, and healthcare delivery.
  • A. Imperial College Academic Health Science Centre chosen
    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. University College London Hospitals biomedical research network
    The University College London Hospitals biomedical research network is a major academic health science partnership that coordinates and supports cutting-edge clinical and translational research across UCL-affiliated hospitals and institutes in London.
  • D. 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.
  • E. UCL Faculty of Medical Sciences
    UCL Faculty of Medical Sciences is a major academic division of University College London that focuses on medical education, biomedical research, and clinical training in partnership with leading hospitals and research institutes.
  • 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_69c699506b308190826894dab1d9ea86 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa46d95081909c01d1432585ab2a completed March 27, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c868714d7c8190aae66a3dd4e6214b completed March 28, 2026, 11:46 p.m.
NEDg Description generation batch_69c86a93e34c81908aaf0edb023ee78c completed March 28, 2026, 11:56 p.m.
NED2 Entity disambiguation (via description) batch_69c86af8330c8190a43c599e82fe465a completed March 28, 2026, 11:57 p.m.
Created at: March 27, 2026, 3:55 p.m.