Triple
T13432434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mashhad University of Medical Sciences |
E313644
|
entity |
| Predicate | hasResearchCenter |
P40
|
FINISHED |
| Object |
Traditional Medicine and Materia Medica Research Center (Mashhad University of Medical Sciences)
The Traditional Medicine and Materia Medica Research Center at Mashhad University of Medical Sciences is a specialized academic institute dedicated to researching, standardizing, and developing evidence-based applications of Iranian traditional medicine and medicinal plants.
|
E1040651
|
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: Traditional Medicine and Materia Medica Research Center (Mashhad University of Medical Sciences) | Statement: [Mashhad University of Medical Sciences, hasResearchCenter, Traditional Medicine and Materia Medica Research Center (Mashhad University of Medical Sciences)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Traditional Medicine and Materia Medica Research Center (Mashhad University of Medical Sciences) Context triple: [Mashhad University of Medical Sciences, hasResearchCenter, Traditional Medicine and Materia Medica Research Center (Mashhad University of Medical Sciences)]
-
A.
Mashhad University of Medical Sciences
Mashhad University of Medical Sciences is a major Iranian public medical university and healthcare institution based in the city of Mashhad, known for its education, research, and extensive network of teaching hospitals.
-
B.
Birjand University of Medical Sciences
Birjand University of Medical Sciences is an Iranian public medical university that trains healthcare professionals and conducts research in medical and health sciences in the city of Birjand.
-
C.
Ministry of Health and Medical Education of Iran
The Ministry of Health and Medical Education of Iran is a government body responsible for overseeing public health policy, healthcare services, and medical education and training across the country.
-
D.
Zahedan University of Medical Sciences
Zahedan University of Medical Sciences is a higher education institution in Zahedan, Iran, specializing in medical and health sciences education and research.
-
E.
Hamadan University of Medical Sciences
Hamadan University of Medical Sciences is a public medical university in Hamadan, Iran, specializing in training healthcare professionals and conducting medical research.
- 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: Traditional Medicine and Materia Medica Research Center (Mashhad University of Medical Sciences) Triple: [Mashhad University of Medical Sciences, hasResearchCenter, Traditional Medicine and Materia Medica Research Center (Mashhad University of Medical Sciences)]
Generated description
The Traditional Medicine and Materia Medica Research Center at Mashhad University of Medical Sciences is a specialized academic institute dedicated to researching, standardizing, and developing evidence-based applications of Iranian traditional medicine and medicinal plants.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Traditional Medicine and Materia Medica Research Center (Mashhad University of Medical Sciences) Target entity description: The Traditional Medicine and Materia Medica Research Center at Mashhad University of Medical Sciences is a specialized academic institute dedicated to researching, standardizing, and developing evidence-based applications of Iranian traditional medicine and medicinal plants.
-
A.
Mashhad University of Medical Sciences
Mashhad University of Medical Sciences is a major Iranian public medical university and healthcare institution based in the city of Mashhad, known for its education, research, and extensive network of teaching hospitals.
-
B.
Birjand University of Medical Sciences
Birjand University of Medical Sciences is an Iranian public medical university that trains healthcare professionals and conducts research in medical and health sciences in the city of Birjand.
-
C.
Ministry of Health and Medical Education of Iran
The Ministry of Health and Medical Education of Iran is a government body responsible for overseeing public health policy, healthcare services, and medical education and training across the country.
-
D.
Zahedan University of Medical Sciences
Zahedan University of Medical Sciences is a higher education institution in Zahedan, Iran, specializing in medical and health sciences education and research.
-
E.
Hamadan University of Medical Sciences
Hamadan University of Medical Sciences is a public medical university in Hamadan, Iran, specializing in training healthcare professionals and conducting medical research.
- 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_69d806ad0c44819088833ae1ec9e9690 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaed41a5481908800033303224adb |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7398da07081908c3eca6fc4213930 |
completed | May 3, 2026, 12:03 p.m. |
| NEDg | Description generation | batch_69f73b065818819095d26633fc682546 |
completed | May 3, 2026, 12:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f73b8635888190b31035bc72676b9d |
completed | May 3, 2026, 12:11 p.m. |
Created at: April 9, 2026, 9:40 p.m.