Triple
T5658656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | School of Nursing and Midwifery, Queen’s University Belfast |
E124681
|
entity |
| Predicate | affiliatedWith |
P254
|
FINISHED |
| Object |
Queen’s University Belfast Faculty of Medicine, Health and Life Sciences
Queen’s University Belfast Faculty of Medicine, Health and Life Sciences is an academic division of Queen’s University Belfast that oversees education and research in medicine, nursing, health sciences, and life sciences.
|
E537795
|
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: Queen’s University Belfast Faculty of Medicine, Health and Life Sciences | Statement: [School of Nursing and Midwifery, Queen’s University Belfast, affiliatedWith, Queen’s University Belfast Faculty of Medicine, Health and Life Sciences]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Queen’s University Belfast Faculty of Medicine, Health and Life Sciences Context triple: [School of Nursing and Midwifery, Queen’s University Belfast, affiliatedWith, Queen’s University Belfast Faculty of Medicine, Health and Life Sciences]
-
A.
Faculty of Engineering and Physical Sciences at Queen’s University Belfast
The Faculty of Engineering and Physical Sciences at Queen’s University Belfast is an academic division that encompasses disciplines such as engineering, computing, and the physical sciences, supporting research and teaching across these technical fields.
-
B.
Faculty of Arts, Humanities and Social Sciences at Queen’s University Belfast
The Faculty of Arts, Humanities and Social Sciences at Queen’s University Belfast is a major academic division encompassing disciplines such as history, languages, social sciences, law, and the creative arts within the university.
-
C.
Queen’s University Belfast
Queen’s University Belfast is a leading public research university in Northern Ireland known for its strong academic reputation and membership in the UK’s elite group of research-intensive institutions.
-
D.
Ulster University Belfast campus
Ulster University Belfast campus is a major urban campus of Ulster University located in central Belfast, known for its focus on art, design, architecture, and built environment disciplines.
-
E.
Queen’s University School of Medicine
Queen’s University School of Medicine is the medical faculty of Queen’s University in Kingston, Ontario, known for training physicians and conducting biomedical research in partnership with regional teaching 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: Queen’s University Belfast Faculty of Medicine, Health and Life Sciences Triple: [School of Nursing and Midwifery, Queen’s University Belfast, affiliatedWith, Queen’s University Belfast Faculty of Medicine, Health and Life Sciences]
Generated description
Queen’s University Belfast Faculty of Medicine, Health and Life Sciences is an academic division of Queen’s University Belfast that oversees education and research in medicine, nursing, health sciences, and life sciences.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Queen’s University Belfast Faculty of Medicine, Health and Life Sciences Target entity description: Queen’s University Belfast Faculty of Medicine, Health and Life Sciences is an academic division of Queen’s University Belfast that oversees education and research in medicine, nursing, health sciences, and life sciences.
-
A.
Faculty of Engineering and Physical Sciences at Queen’s University Belfast
The Faculty of Engineering and Physical Sciences at Queen’s University Belfast is an academic division that encompasses disciplines such as engineering, computing, and the physical sciences, supporting research and teaching across these technical fields.
-
B.
Faculty of Arts, Humanities and Social Sciences at Queen’s University Belfast
The Faculty of Arts, Humanities and Social Sciences at Queen’s University Belfast is a major academic division encompassing disciplines such as history, languages, social sciences, law, and the creative arts within the university.
-
C.
Queen’s University Belfast
Queen’s University Belfast is a leading public research university in Northern Ireland known for its strong academic reputation and membership in the UK’s elite group of research-intensive institutions.
-
D.
Ulster University Belfast campus
Ulster University Belfast campus is a major urban campus of Ulster University located in central Belfast, known for its focus on art, design, architecture, and built environment disciplines.
-
E.
Queen’s University School of Medicine
Queen’s University School of Medicine is the medical faculty of Queen’s University in Kingston, Ontario, known for training physicians and conducting biomedical research in partnership with regional teaching 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_69c0082774a481909d7e63fb2aad56ac |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c022fd9b148190bd4aa9c43500949f |
completed | March 22, 2026, 5:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04da37ffc819095f33e7e66e7c1d0 |
completed | March 22, 2026, 8:14 p.m. |
| NEDg | Description generation | batch_69c04edf30448190a60eda49b8b031a0 |
completed | March 22, 2026, 8:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c04fb62690819083327781cb857ccc |
completed | March 22, 2026, 8:23 p.m. |
Created at: March 22, 2026, 3:42 p.m.