Triple

T5946193
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Medicine & Dentistry E132285 entity
Predicate hasDivision P35 FINISHED
Object Department of Anesthesiology & Pain Medicine
The Department of Anesthesiology & Pain Medicine is an academic and clinical unit specializing in anesthesia care, perioperative medicine, and pain management within a medical school setting.
E556709 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 & Pain Medicine | Statement: [Faculty of Medicine & Dentistry, hasDivision, Department of Anesthesiology & Pain Medicine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Anesthesiology & Pain Medicine
Context triple: [Faculty of Medicine & Dentistry, hasDivision, Department of Anesthesiology & Pain Medicine]
  • A. 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.
  • B. 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.
  • 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 medical academic and clinical unit specializing in anesthesia, perioperative care, and pain management within Medical College Jabalpur.
  • 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 & Pain Medicine
Triple: [Faculty of Medicine & Dentistry, hasDivision, Department of Anesthesiology & Pain Medicine]
Generated description
The Department of Anesthesiology & Pain Medicine is an academic and clinical unit specializing in anesthesia care, perioperative medicine, and pain management within a medical school setting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Department of Anesthesiology & Pain Medicine
Target entity description: The Department of Anesthesiology & Pain Medicine is an academic and clinical unit specializing in anesthesia care, perioperative medicine, and pain management within a medical school setting.
  • A. 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.
  • B. 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.
  • 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 medical academic and clinical unit specializing in anesthesia, perioperative care, and pain management within Medical College Jabalpur.
  • 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_69c00869d3308190af89b2453e0f7546 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0393bd4488190bba68d9c6e872e04 completed March 22, 2026, 6:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c08a11f48190b16ca30842f23ce5 completed March 23, 2026, 4:24 a.m.
NEDg Description generation batch_69c0c351dcf88190a21b9c782cc06809 completed March 23, 2026, 4:36 a.m.
NED2 Entity disambiguation (via description) batch_69c0c3e09a288190a230dd40d94dc7ba completed March 23, 2026, 4:38 a.m.
Created at: March 22, 2026, 4:01 p.m.