Triple

T11437669
Position Surface form Disambiguated ID Type / Status
Subject Self-Discipline and Social Commitment E271050 entity
Predicate usedIn P98 FINISHED
Object Tsinghua University publications E55902 NE FINISHED

How this triple was built (2 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: Tsinghua University publications | Statement: [Self-Discipline and Social Commitment, usedIn, Tsinghua University publications]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tsinghua University publications
Context triple: [Self-Discipline and Social Commitment, usedIn, Tsinghua University publications]
  • A. Tsinghua University Press
    Tsinghua University Press is a major Chinese academic and educational publishing house known for producing scholarly books, textbooks, and journals across science, engineering, and other disciplines.
  • B. Tsinghua University chosen
    Tsinghua University is a leading research-intensive university in Beijing, China, renowned for its strong engineering, science, and technology programs and its significant influence in Chinese higher education and innovation.
  • C. Tsinghua National Laboratory for Information Science and Technology
    Tsinghua National Laboratory for Information Science and Technology is a major Chinese research center focused on cutting-edge information science, engineering, and technology, affiliated with Tsinghua University in Beijing.
  • D. Shenzhen Research Institute of Tsinghua University
    The Shenzhen Research Institute of Tsinghua University is a major research and innovation hub established by Tsinghua University in Shenzhen to promote advanced scientific research, technology transfer, and industry–academia collaboration in southern China.
  • E. University of Science and Technology of China
    The University of Science and Technology of China is a leading Chinese research university renowned for its strengths in science and engineering and its affiliation with the Chinese Academy of Sciences.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aadeef688190874bcecd88b3dd9b completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8088711ec8190afae9f4d9f2a11ca completed April 9, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5d38727fc8190b5daac83e03491e6 completed April 20, 2026, 7:19 a.m.
Created at: April 8, 2026, 9:35 p.m.