Triple
T9165686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Medicine, University of Southampton |
E219948
|
entity |
| Predicate | parentOrganization |
P254
|
FINISHED |
| Object |
University of Southampton Faculty of Medicine, Health and Life Sciences
The University of Southampton Faculty of Medicine, Health and Life Sciences is an academic division that integrates medical, health, and life science education and research within the University of Southampton.
|
E782537
|
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 of Southampton Faculty of Medicine, Health and Life Sciences | Statement: [Faculty of Medicine, University of Southampton, parentOrganization, University of Southampton Faculty of Medicine, Health and Life Sciences]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: University of Southampton Faculty of Medicine, Health and Life Sciences Context triple: [Faculty of Medicine, University of Southampton, parentOrganization, University of Southampton Faculty of Medicine, Health and Life Sciences]
-
A.
Faculty of Life Sciences & Medicine
The Faculty of Life Sciences & Medicine is a major academic division of King’s College London specializing in biomedical, health, and life sciences education and research.
-
B.
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.
-
C.
Faculty of Medical and Health Sciences
The Faculty of Medical and Health Sciences is the University of Auckland’s primary division for education and research in medicine, nursing, pharmacy, and related health sciences.
-
D.
Faculty of Medicine, Health and Life Sciences
The Faculty of Medicine, Health and Life Sciences is a major academic division of Queen’s University Belfast that focuses on education and research in medicine, healthcare, and the life sciences.
-
E.
Oxford University Medical School
Oxford University Medical School is the medical teaching and research division of the University of Oxford, training future doctors and conducting biomedical research in partnership with regional hospitals.
- 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 of Southampton Faculty of Medicine, Health and Life Sciences Triple: [Faculty of Medicine, University of Southampton, parentOrganization, University of Southampton Faculty of Medicine, Health and Life Sciences]
Generated description
The University of Southampton Faculty of Medicine, Health and Life Sciences is an academic division that integrates medical, health, and life science education and research within the University of Southampton.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: University of Southampton Faculty of Medicine, Health and Life Sciences Target entity description: The University of Southampton Faculty of Medicine, Health and Life Sciences is an academic division that integrates medical, health, and life science education and research within the University of Southampton.
-
A.
Faculty of Life Sciences & Medicine
The Faculty of Life Sciences & Medicine is a major academic division of King’s College London specializing in biomedical, health, and life sciences education and research.
-
B.
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.
-
C.
Faculty of Medical and Health Sciences
The Faculty of Medical and Health Sciences is the University of Auckland’s primary division for education and research in medicine, nursing, pharmacy, and related health sciences.
-
D.
Faculty of Medicine, Health and Life Sciences
The Faculty of Medicine, Health and Life Sciences is a major academic division of Queen’s University Belfast that focuses on education and research in medicine, healthcare, and the life sciences.
-
E.
Oxford University Medical School
Oxford University Medical School is the medical teaching and research division of the University of Oxford, training future doctors and conducting biomedical research in partnership with regional hospitals.
- 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_69ca83e3633c81908688a9fa2306ba99 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccaa3055048190870211449c78fc4e |
completed | April 1, 2026, 5:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05484c2688190a5c64b5b54bedbb5 |
completed | April 4, 2026, midnight |
| NEDg | Description generation | batch_69d0572b4d748190af34f7157aa4d7cd |
completed | April 4, 2026, 12:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d057901d148190b663b36cc1dc3862 |
completed | April 4, 2026, 12:13 a.m. |
Created at: March 30, 2026, 7:22 p.m.