Triple
T15873638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal University of Bhutan (campuses) |
E384890
|
entity |
| Predicate | hasCampus |
P116
|
FINISHED |
| Object |
National Institute of Traditional Medicine (affiliated unit, historical)
The National Institute of Traditional Medicine is a Bhutanese institution dedicated to the study, preservation, and practice of traditional Bhutanese medicine, historically affiliated as a campus of the Royal University of Bhutan.
|
E1180957
|
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: National Institute of Traditional Medicine (affiliated unit, historical) | Statement: [Royal University of Bhutan (campuses), hasCampus, National Institute of Traditional Medicine (affiliated unit, historical)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: National Institute of Traditional Medicine (affiliated unit, historical) Context triple: [Royal University of Bhutan (campuses), hasCampus, National Institute of Traditional Medicine (affiliated unit, historical)]
-
A.
Faculty of Traditional Medicine
The Faculty of Traditional Medicine is an academic division of Tabriz University of Medical Sciences dedicated to education and research in traditional and complementary medical practices.
-
B.
Faculty of Traditional Persian Medicine
The Faculty of Traditional Persian Medicine is an academic unit specializing in education and research on Iranian traditional and herbal medicine within Mashhad University of Medical Sciences.
-
C.
Noguchi Memorial Institute for Medical Research
Noguchi Memorial Institute for Medical Research is a leading biomedical research center in Ghana renowned for its work on infectious diseases and public health in West Africa.
-
D.
National Institute of Respiratory Diseases
The National Institute of Respiratory Diseases is a leading Mexican medical and research center specializing in the diagnosis, treatment, and study of respiratory illnesses.
-
E.
Institute of Experimental Medicine
The Institute of Experimental Medicine is a research institute within Charité – Universitätsmedizin Berlin focused on advancing biomedical knowledge through laboratory-based and translational 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: National Institute of Traditional Medicine (affiliated unit, historical) Triple: [Royal University of Bhutan (campuses), hasCampus, National Institute of Traditional Medicine (affiliated unit, historical)]
Generated description
The National Institute of Traditional Medicine is a Bhutanese institution dedicated to the study, preservation, and practice of traditional Bhutanese medicine, historically affiliated as a campus of the Royal University of Bhutan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: National Institute of Traditional Medicine (affiliated unit, historical) Target entity description: The National Institute of Traditional Medicine is a Bhutanese institution dedicated to the study, preservation, and practice of traditional Bhutanese medicine, historically affiliated as a campus of the Royal University of Bhutan.
-
A.
Faculty of Traditional Medicine
The Faculty of Traditional Medicine is an academic division of Tabriz University of Medical Sciences dedicated to education and research in traditional and complementary medical practices.
-
B.
Faculty of Traditional Persian Medicine
The Faculty of Traditional Persian Medicine is an academic unit specializing in education and research on Iranian traditional and herbal medicine within Mashhad University of Medical Sciences.
-
C.
Noguchi Memorial Institute for Medical Research
Noguchi Memorial Institute for Medical Research is a leading biomedical research center in Ghana renowned for its work on infectious diseases and public health in West Africa.
-
D.
National Institute of Respiratory Diseases
The National Institute of Respiratory Diseases is a leading Mexican medical and research center specializing in the diagnosis, treatment, and study of respiratory illnesses.
-
E.
Institute of Experimental Medicine
The Institute of Experimental Medicine is a research institute within Charité – Universitätsmedizin Berlin focused on advancing biomedical knowledge through laboratory-based and translational 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e155fc02688190b6f070882b846516 |
completed | April 16, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa94e9b548190bec74e6d9790d241 |
completed | May 9, 2026, 9:38 p.m. |
| NEDg | Description generation | batch_69ffaa07df788190bae67f3d9a800331 |
completed | May 9, 2026, 9:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffaaa92a648190a09829ef3197223c |
completed | May 9, 2026, 9:44 p.m. |
Created at: April 10, 2026, 4:51 a.m.