Triple

T17397894
Position Surface form Disambiguated ID Type / Status
Subject Baba Raghav Das Medical College E422999 entity
Predicate hasDepartment P35 FINISHED
Object Department of Anesthesiology
The Department of Anesthesiology is a medical specialty unit responsible for administering anesthesia and managing pain and critical care for patients undergoing surgical and other medical procedures.
E88695 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 Anesthesiology | Statement: [Baba Raghav Das Medical College, hasDepartment, Department of Anesthesiology]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Anesthesiology
Context triple: [Baba Raghav Das Medical College, hasDepartment, Department of Anesthesiology]
  • A. Department of Anesthesiology
    The Department of Anesthesiology is a clinical and academic unit specializing in anesthesia, perioperative medicine, pain management, and critical care within the University Medical Center Göttingen.
  • B. 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.
  • C. 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.
  • D. Department of Anesthesiology
    The Department of Anesthesiology is a medical academic and clinical unit specializing in anesthesia, perioperative care, and pain management within King George’s Medical University.
  • E. Department of Anesthesiology
    The Department of Anesthesiology at Kyoto University's Graduate School of Medicine is an academic and clinical department specializing in anesthesia, perioperative medicine, and pain management research and education.
  • 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 Anesthesiology
Triple: [Baba Raghav Das Medical College, hasDepartment, Department of Anesthesiology]
Generated description
The Department of Anesthesiology is a medical specialty unit responsible for administering anesthesia and managing pain and critical care for patients undergoing surgical and other medical procedures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Department of Anesthesiology
Target entity description: The Department of Anesthesiology is a medical specialty unit responsible for administering anesthesia and managing pain and critical care for patients undergoing surgical and other medical procedures.
  • A. Department of Anesthesiology chosen
    The Department of Anesthesiology is a medical specialty division focused on administering anesthesia, managing pain, and ensuring patient safety before, during, and after surgical and diagnostic procedures.
  • 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 medical academic and clinical unit specializing in anesthesia, perioperative care, and pain management within King George’s Medical University.
  • F. None of above.

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_69d889d710288190bf0f4762801fefae completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43abe6f708190944aad636e1eb9a1 completed April 19, 2026, 2:15 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01a002b034819099fd74e01bb382b0 completed May 11, 2026, 9:23 a.m.
NEDg Description generation batch_6a01a176d2488190951bbe07233a37e4 completed May 11, 2026, 9:29 a.m.
NED2 Entity disambiguation (via description) batch_6a01a58b12088190828078c69c4fff4b completed May 11, 2026, 9:46 a.m.
Created at: April 10, 2026, 5:45 a.m.