Triple

T1569079
Position Surface form Disambiguated ID Type / Status
Subject Sun Yat-sen E33498 entity
Predicate deathPlace P21 FINISHED
Object Peking Union Medical College Hospital, Beijing, Republic of China
Peking Union Medical College Hospital in Beijing is a leading Chinese teaching and research hospital historically associated with major political and medical events in modern China.
 E179677 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: Peking Union Medical College Hospital, Beijing, Republic of China | Statement: [Sun Yat-sen, deathPlace, Peking Union Medical College Hospital, Beijing, Republic of China]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Peking Union Medical College Hospital, Beijing, Republic of China
Context triple: [Sun Yat-sen, deathPlace, Peking Union Medical College Hospital, Beijing, Republic of China]
  • A. China Medical University (Shenyang)
    China Medical University (Shenyang) is a major Chinese medical university known for its comprehensive medical education, research, and affiliated hospitals, located in Shenyang, Liaoning Province.
  • B. Tianjin Medical University
    Tianjin Medical University is a major Chinese medical institution known for its education and research in clinical medicine, public health, and biomedical sciences.
  • C. Institute of Medical Science, University of Tokyo
    The Institute of Medical Science, University of Tokyo is a leading Japanese biomedical research and graduate education center renowned for its work in infectious diseases, genomics, and advanced medical science.
  • D. Peking University
    Peking University is a leading Chinese research university in Beijing, renowned for its academic excellence, historical significance, and global influence.
  • E. University of Tokyo Hospital
    University of Tokyo Hospital is a major academic medical center in Tokyo, Japan, known for advanced clinical care, medical education, and cutting-edge 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: Peking Union Medical College Hospital, Beijing, Republic of China
Triple: [Sun Yat-sen, deathPlace, Peking Union Medical College Hospital, Beijing, Republic of China]
Generated description
Peking Union Medical College Hospital in Beijing is a leading Chinese teaching and research hospital historically associated with major political and medical events in modern China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Peking Union Medical College Hospital, Beijing, Republic of China
Target entity description: Peking Union Medical College Hospital in Beijing is a leading Chinese teaching and research hospital historically associated with major political and medical events in modern China.
  • A. China Medical University (Shenyang)
    China Medical University (Shenyang) is a major Chinese medical university known for its comprehensive medical education, research, and affiliated hospitals, located in Shenyang, Liaoning Province.
  • B. Tianjin Medical University
    Tianjin Medical University is a major Chinese medical institution known for its education and research in clinical medicine, public health, and biomedical sciences.
  • C. Institute of Medical Science, University of Tokyo
    The Institute of Medical Science, University of Tokyo is a leading Japanese biomedical research and graduate education center renowned for its work in infectious diseases, genomics, and advanced medical science.
  • D. Peking University
    Peking University is a leading Chinese research university in Beijing, renowned for its academic excellence, historical significance, and global influence.
  • E. University of Tokyo Hospital
    University of Tokyo Hospital is a major academic medical center in Tokyo, Japan, known for advanced clinical care, medical education, and cutting-edge 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_69a885f11b048190935025a035302715 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a908b67304819081ad555000e51197 completed March 5, 2026, 4:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad4023da008190a947cf0d2983df2e completed March 8, 2026, 9:23 a.m.
NEDg Description generation batch_69ad410ba7f881909dcee6e6fd56490f completed March 8, 2026, 9:27 a.m.
NED2 Entity disambiguation (via description) batch_69ad41ff0b0c8190b5429ed6952a0ce6 completed March 8, 2026, 9:31 a.m.
Created at: March 4, 2026, 7:27 p.m.