Triple
T7453482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Free Hospital |
E172062
|
entity |
| Predicate | affiliatedWith |
P254
|
FINISHED |
| Object |
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.
|
E665192
|
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 biomedical research network | Statement: [Royal Free Hospital, affiliatedWith, University College London Hospitals biomedical research network]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: University College London Hospitals biomedical research network Context triple: [Royal Free Hospital, affiliatedWith, University College London Hospitals biomedical research network]
-
A.
National Institute for Health and Care Research
The National Institute for Health and Care Research is a UK government-funded organization that supports and coordinates health and care research to improve patient outcomes and inform healthcare policy.
-
B.
NIHR Cambridge Biomedical Research Centre
The NIHR Cambridge Biomedical Research Centre is a leading UK academic–clinical partnership that drives translational medical research and innovation to improve patient care.
-
C.
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.
-
D.
Cambridge Clinical Research Centre
Cambridge Clinical Research Centre is a major medical research facility based at the Cambridge Biomedical Campus, supporting advanced clinical studies and translational medicine.
-
E.
Medical Research Council
The Medical Research Council is a UK government-funded organization that supports and coordinates biomedical and health research to improve human health.
- 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 biomedical research network Triple: [Royal Free Hospital, affiliatedWith, University College London Hospitals biomedical research network]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: University College London Hospitals biomedical research network Target entity description: 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.
-
A.
National Institute for Health and Care Research
The National Institute for Health and Care Research is a UK government-funded organization that supports and coordinates health and care research to improve patient outcomes and inform healthcare policy.
-
B.
NIHR Cambridge Biomedical Research Centre
The NIHR Cambridge Biomedical Research Centre is a leading UK academic–clinical partnership that drives translational medical research and innovation to improve patient care.
-
C.
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.
-
D.
Cambridge Clinical Research Centre
Cambridge Clinical Research Centre is a major medical research facility based at the Cambridge Biomedical Campus, supporting advanced clinical studies and translational medicine.
-
E.
Medical Research Council
The Medical Research Council is a UK government-funded organization that supports and coordinates biomedical and health research to improve human health.
- 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_69c68a66554c8190add75c65942c0317 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f3ac5c2081908ab03f8bd4586f94 |
completed | March 27, 2026, 9:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c827bedc408190a9a77f293fb12762 |
completed | March 28, 2026, 7:10 p.m. |
| NEDg | Description generation | batch_69c8290c62d0819080a1e1820364da88 |
completed | March 28, 2026, 7:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c82958eddc8190ad1697969241ec39 |
completed | March 28, 2026, 7:17 p.m. |
Created at: March 27, 2026, 3:14 p.m.