Triple

T3103872
Position Surface form Disambiguated ID Type / Status
Subject Crimean Federal University E64783 entity
Predicate hasFaculty P141 FINISHED
Object Medical Academy named after S. I. Georgievsky
The Medical Academy named after S. I. Georgievsky is a major medical education and research institution in Crimea, training physicians and healthcare professionals within the structure of Crimean Federal University.
E327306 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: Medical Academy named after S. I. Georgievsky | Statement: [Crimean Federal University, hasFaculty, Medical Academy named after S. I. Georgievsky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Medical Academy named after S. I. Georgievsky
Context triple: [Crimean Federal University, hasFaculty, Medical Academy named after S. I. Georgievsky]
  • A. Rostov State Medical University
    Rostov State Medical University is a major Russian medical university located in Rostov-on-Don, known for training healthcare professionals and conducting medical research.
  • B. Voronezh State Medical University
    Voronezh State Medical University is a major Russian medical higher education institution known for training physicians and healthcare professionals and conducting biomedical research.
  • C. Nizhny Novgorod State Medical Academy
    Nizhny Novgorod State Medical Academy is a major Russian medical university known for training healthcare professionals and conducting medical research in the city of Nizhny Novgorod.
  • D. Volgograd State Medical University
    Volgograd State Medical University is a major Russian medical higher education institution in Volgograd, known for training physicians and healthcare professionals and for its clinical and research activities.
  • E. Kazan State Medical University
    Kazan State Medical University is a major Russian medical higher education institution located in Kazan, known for training physicians and medical specialists and conducting biomedical 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: Medical Academy named after S. I. Georgievsky
Triple: [Crimean Federal University, hasFaculty, Medical Academy named after S. I. Georgievsky]
Generated description
The Medical Academy named after S. I. Georgievsky is a major medical education and research institution in Crimea, training physicians and healthcare professionals within the structure of Crimean Federal University.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Medical Academy named after S. I. Georgievsky
Target entity description: The Medical Academy named after S. I. Georgievsky is a major medical education and research institution in Crimea, training physicians and healthcare professionals within the structure of Crimean Federal University.
  • A. Rostov State Medical University
    Rostov State Medical University is a major Russian medical university located in Rostov-on-Don, known for training healthcare professionals and conducting medical research.
  • B. Voronezh State Medical University
    Voronezh State Medical University is a major Russian medical higher education institution known for training physicians and healthcare professionals and conducting biomedical research.
  • C. Nizhny Novgorod State Medical Academy
    Nizhny Novgorod State Medical Academy is a major Russian medical university known for training healthcare professionals and conducting medical research in the city of Nizhny Novgorod.
  • D. Volgograd State Medical University
    Volgograd State Medical University is a major Russian medical higher education institution in Volgograd, known for training physicians and healthcare professionals and for its clinical and research activities.
  • E. Kazan State Medical University
    Kazan State Medical University is a major Russian medical higher education institution located in Kazan, known for training physicians and medical specialists and conducting biomedical 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_69ad857dc98481909e585dc3372e3ed5 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada26f376c8190a049399e33314d52 completed March 8, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b203846a108190a97c30c463e119b1 completed March 12, 2026, 12:06 a.m.
NEDg Description generation batch_69b20482147c8190852110e01c0988f3 completed March 12, 2026, 12:10 a.m.
NED2 Entity disambiguation (via description) batch_69b205d86ab0819084a352c0b634a026 completed March 12, 2026, 12:16 a.m.
Created at: March 8, 2026, 3:03 p.m.