Triple
T1058070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen’s University Belfast |
E22842
|
entity |
| Predicate | hasFaculty |
P141
|
FINISHED |
| Object |
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.
|
E120275
|
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: Faculty of Medicine, Health and Life Sciences | Statement: [Queen’s University Belfast, hasFaculty, Faculty of Medicine, Health and Life Sciences]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Faculty of Medicine, Health and Life Sciences Context triple: [Queen’s University Belfast, hasFaculty, Faculty of Medicine, Health and Life Sciences]
-
A.
Faculty of Medicine and Health Sciences
The Faculty of Medicine and Health Sciences is McGill University’s medical and health sciences faculty, encompassing education and research in medicine, nursing, and related health professions.
-
B.
Faculty of Medicine and Health Sciences
The Faculty of Medicine and Health Sciences is Ghent University's academic division dedicated to education and research in medicine, healthcare, and biomedical sciences.
-
C.
Faculty of Health and Life Sciences
The Faculty of Health and Life Sciences is a major academic division of the University of Liverpool that focuses on education and research in medicine, health, biological, and life sciences.
-
D.
Faculty of Medicine and Health
The Faculty of Medicine and Health at the University of Leeds is an academic division specializing in medical, health, and related life sciences education and research.
-
E.
Faculty of Biology, Medicine and Health
The Faculty of Biology, Medicine and Health is a major academic division of the University of Manchester that integrates research and teaching across the life sciences, medical, and health disciplines.
- 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: Faculty of Medicine, Health and Life Sciences Triple: [Queen’s University Belfast, hasFaculty, Faculty of Medicine, Health and Life Sciences]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Faculty of Medicine, Health and Life Sciences Target entity description: 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.
-
A.
Faculty of Medicine and Health Sciences
The Faculty of Medicine and Health Sciences is McGill University’s medical and health sciences faculty, encompassing education and research in medicine, nursing, and related health professions.
-
B.
Faculty of Medicine and Health Sciences
The Faculty of Medicine and Health Sciences is Ghent University's academic division dedicated to education and research in medicine, healthcare, and biomedical sciences.
-
C.
Faculty of Health and Life Sciences
The Faculty of Health and Life Sciences is a major academic division of the University of Liverpool that focuses on education and research in medicine, health, biological, and life sciences.
-
D.
Faculty of Medicine and Health
The Faculty of Medicine and Health at the University of Leeds is an academic division specializing in medical, health, and related life sciences education and research.
-
E.
Faculty of Biology, Medicine and Health
The Faculty of Biology, Medicine and Health is a major academic division of the University of Manchester that integrates research and teaching across the life sciences, medical, and health disciplines.
- 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_69a493dada0481909c43649f9843ea91 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b8dc9e8c819099fbb192bcf80615 |
completed | March 1, 2026, 10:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac3bd3400c8190b84e88073f19beba |
completed | March 7, 2026, 2:53 p.m. |
| NEDg | Description generation | batch_69ac3ca9b5d88190816980f964f7e947 |
completed | March 7, 2026, 2:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac3d61a0c48190b619b3049df33512 |
completed | March 7, 2026, 2:59 p.m. |
Created at: March 1, 2026, 7:42 p.m.