Triple

T22402959
Position Surface form Disambiguated ID Type / Status
Subject Qingdao University E553805 entity
Predicate formedByMergerOf P77 FINISHED
Object Qingdao Medical College NE NERFINISHED

How this triple was built (3 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: Qingdao Medical College | Statement: [Qingdao University, formedByMergerOf, Qingdao Medical College]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Qingdao Medical College
Context triple: [Qingdao University, formedByMergerOf, Qingdao Medical College]
  • A. Dalian Medical University
    Dalian Medical University is a major medical education and research institution in Dalian, China, known for training healthcare professionals and conducting biomedical research.
  • B. Qingdao University
    Qingdao University is a comprehensive public university in Qingdao, China, known for its wide range of academic disciplines and coastal campus setting.
  • C. 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.
  • D. Shanghai Medical College of Fudan University
    Shanghai Medical College of Fudan University is a leading medical school in China known for its comprehensive medical education, research, and clinical training programs within Fudan University.
  • E. Hebei Medical University
    Hebei Medical University is a major medical higher education institution in Hebei Province, China, known for training healthcare professionals and conducting medical research.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Qingdao Medical College
Target entity description: Qingdao Medical College was a former specialized medical institution in Qingdao, China, that later became part of Qingdao University through institutional restructuring.
  • A. Dalian Medical University
    Dalian Medical University is a major medical education and research institution in Dalian, China, known for training healthcare professionals and conducting biomedical research.
  • B. Qingdao University chosen
    Qingdao University is a comprehensive public university in Qingdao, China, known for its wide range of academic disciplines and coastal campus setting.
  • C. 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.
  • D. Shanghai Medical College of Fudan University
    Shanghai Medical College of Fudan University is a leading medical school in China known for its comprehensive medical education, research, and clinical training programs within Fudan University.
  • E. Hebei Medical University
    Hebei Medical University is a major medical higher education institution in Hebei Province, China, known for training healthcare professionals and conducting medical research.
  • F. None of above.

Provenance (2 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_69e11e4da7048190b4387d422a9a0de5 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f158b565c48190b0f6c19f17995b40 completed April 29, 2026, 1:02 a.m.
Created at: April 16, 2026, 8:46 p.m.