Triple

T9864757
Position Surface form Disambiguated ID Type / Status
Subject Philippine General Hospital E239802 entity
Predicate hasDepartment P35 FINISHED
Object 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.
E826084 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: [Philippine General Hospital, hasDepartment, Department of Anesthesiology]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Anesthesiology
Context triple: [Philippine General Hospital, 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 is an academic and clinical unit specializing in anesthesia, perioperative medicine, and pain management within Cairo University's Faculty of Medicine.
  • C. Department of Anesthesiology
    The Department of Anesthesiology at Charité – Universitätsmedizin Berlin is a leading academic and clinical center specializing in anesthesia, perioperative medicine, pain management, and critical care.
  • D. 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.
  • 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
  • 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: [Philippine General Hospital, hasDepartment, Department of Anesthesiology]
Generated description
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.
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 perioperative pain and critical care for patients undergoing procedures at the Philippine General Hospital.
  • A. Department of Anesthesiology
    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 care, and pain management within King George’s Medical University.
  • 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 an academic and clinical unit specializing in anesthesia, perioperative medicine, and pain management within Cairo University's Faculty of Medicine.
  • E. 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.
  • 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_69ca84e7506c819095cbde4ff16512bb completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3ba7f288190a15ebec2cc3112c4 completed April 2, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1e44dc0b8819082294a479299814e completed April 5, 2026, 4:25 a.m.
NEDg Description generation batch_69d1e4a42ab0819085150f033c2a650a completed April 5, 2026, 4:27 a.m.
NED2 Entity disambiguation (via description) batch_69d1e50b803081909cd93a602fb48514 completed April 5, 2026, 4:28 a.m.
Created at: March 30, 2026, 8:36 p.m.