Triple
T9857298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Medical University of Lublin |
E239618
|
entity |
| Predicate | hasFaculty |
P141
|
FINISHED |
| Object |
Faculty of Health Sciences
The Faculty of Health Sciences is an academic division of the Medical University of Lublin that provides education and research in health-related disciplines such as nursing, public health, and allied health professions.
|
E825701
|
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 Health Sciences | Statement: [Medical University of Lublin, hasFaculty, Faculty of Health Sciences]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Faculty of Health Sciences Context triple: [Medical University of Lublin, hasFaculty, Faculty of Health Sciences]
-
A.
Faculty of Health Sciences
The Faculty of Health Sciences is an academic division of the University of Swaziland dedicated to education and research in health-related disciplines and the training of healthcare professionals.
-
B.
Faculty of Health Sciences
The Faculty of Health Sciences at the University of Nairobi is an academic division that trains healthcare professionals and conducts research in medical and health-related fields.
-
C.
Faculty of Health Sciences
The Faculty of Health Sciences at Trinity College Dublin is an academic division that provides education and research in disciplines related to medicine, nursing, and allied health professions.
-
D.
Faculty of Health Sciences
The Faculty of Health Sciences is an academic division of Necmettin Erbakan University dedicated to education and research in health-related disciplines and professions.
-
E.
Faculty of Health Sciences
The Faculty of Health Sciences is a division of the University of Málaga dedicated to education and research in health-related disciplines and the training of healthcare professionals.
- 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 Health Sciences Triple: [Medical University of Lublin, hasFaculty, Faculty of Health Sciences]
Generated description
The Faculty of Health Sciences is an academic division of the Medical University of Lublin that provides education and research in health-related disciplines such as nursing, public health, and allied health professions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Faculty of Health Sciences Target entity description: The Faculty of Health Sciences is an academic division of the Medical University of Lublin that provides education and research in health-related disciplines such as nursing, public health, and allied health professions.
-
A.
Faculty of Health Sciences
The Faculty of Health Sciences is a major academic division of the Lithuanian University of Health Sciences that focuses on education and research in public health, nursing, rehabilitation, and related health professions.
-
B.
Faculty of Health Sciences
The Faculty of Health Sciences is a division of the Jagiellonian University in Kraków that focuses on education and research in public health, nursing, midwifery, and related health professions.
-
C.
Faculty of Health Sciences
The Faculty of Health Sciences is an academic division of the Medical University of Gdańsk that educates healthcare professionals and conducts research in health-related disciplines.
-
D.
Faculty of Health Sciences
The Faculty of Health Sciences at the University of Lethbridge is an academic division that offers interdisciplinary education and research programs in areas such as nursing, public health, addictions counseling, and other health-related fields.
-
E.
Faculty of Health Sciences
The Faculty of Health Sciences at the University of La Laguna is an academic division dedicated to education and research in health-related disciplines such as medicine, nursing, and allied health professions.
- 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_69ca84e6493081909cf58c8d42ea856b |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb39864188190a2d8c0ee911f00c2 |
completed | April 2, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1e43b2de881909e00f6701d1c7b54 |
completed | April 5, 2026, 4:25 a.m. |
| NEDg | Description generation | batch_69d1e5204f748190b1f56ee5469828a2 |
completed | April 5, 2026, 4:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1e598243481909278cb3c911ce3db |
completed | April 5, 2026, 4:31 a.m. |
Created at: March 30, 2026, 8:35 p.m.