Triple
T9950353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Government Medical College Mahbubnagar |
E195312
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object |
Department of Anaesthesiology
The Department of Anaesthesiology is a medical specialty unit focused on administering anesthesia, managing perioperative care, and ensuring patient safety and pain control during surgical and critical care procedures.
|
E830043
|
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: Department of Anaesthesiology | Statement: [Government Medical College Mahbubnagar, hasDepartment, Department of Anaesthesiology]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Anaesthesiology Context triple: [Government Medical College Mahbubnagar, hasDepartment, Department of Anaesthesiology]
-
A.
Department of Anesthesiology
The Department of Anesthesiology at the University of Tokyo’s Faculty of Medicine is a clinical and academic unit specializing in anesthesia, perioperative medicine, and pain management research and education.
-
B.
Department of Anesthesiology
The Department of Anesthesiology is a clinical and academic unit specializing in anesthesia, perioperative medicine, and pain management within the Faculty of Medicine at Tohoku University.
-
C.
Department of Anesthesiology
The Department of Anesthesiology is a medical academic and clinical unit specializing in anesthesia, perioperative medicine, and pain management within the UNC School of Medicine.
-
D.
Department of Anesthesiology
The Department of Anesthesiology is a medical academic and clinical unit specializing in anesthesia, perioperative care, and pain management within Medical College Jabalpur.
-
E.
Department of Anesthesiology
The Department of Anesthesiology is a medical specialty unit responsible for administering anesthesia and managing perioperative pain and critical care for patients undergoing procedures at the Philippine General Hospital.
- 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: Department of Anaesthesiology Triple: [Government Medical College Mahbubnagar, hasDepartment, Department of Anaesthesiology]
Generated description
The Department of Anaesthesiology is a medical specialty unit focused on administering anesthesia, managing perioperative care, and ensuring patient safety and pain control during surgical and critical care procedures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Anaesthesiology Target entity description: The Department of Anaesthesiology is a medical specialty unit focused on administering anesthesia, managing perioperative care, and ensuring patient safety and pain control during surgical and critical care procedures.
-
A.
Department of Anesthesiology
The Department of Anesthesiology at the University of Tokyo’s Faculty of Medicine is a clinical and academic unit specializing in anesthesia, perioperative medicine, and pain management research and education.
-
B.
Department of Anesthesiology
The Department of Anesthesiology is a medical academic and clinical unit specializing in anesthesia, perioperative medicine, and pain management within the UNC School of Medicine.
-
C.
Department of Anesthesiology
The Department of Anesthesiology is a medical academic and clinical unit specializing in anesthesia, perioperative care, and pain management within Medical College Jabalpur.
-
D.
Department of Anesthesiology
The Department of Anesthesiology is a medical specialty unit responsible for administering anesthesia and managing perioperative pain and critical care for patients undergoing procedures at the Philippine General Hospital.
-
E.
Department of Anesthesiology
The Department of Anesthesiology is a clinical and academic unit specializing in anesthesia, perioperative medicine, and pain management within the Faculty of Medicine at Tohoku University.
- 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_69ca82e96a108190932bd1fc4acd73a0 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb65b83ac8190af6bd8c918ffb69f |
completed | April 2, 2026, 12:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d22933d26c8190937e4cbdbd8209dc |
completed | April 5, 2026, 9:19 a.m. |
| NEDg | Description generation | batch_69d229a1abe08190bf28abfc69ce2d64 |
completed | April 5, 2026, 9:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d22a3b87c08190b486eb221bec3465 |
completed | April 5, 2026, 9:24 a.m. |
Created at: March 30, 2026, 8:45 p.m.