Triple

T7080935
Position Surface form Disambiguated ID Type / Status
Subject Changchun E164950 entity
Predicate hasInstitution P186 FINISHED
Object Jilin University E450480 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: Jilin University | Statement: [Changchun, hasInstitution, Jilin University]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jilin University
Context triple: [Changchun, hasInstitution, Jilin University]
  • A. Jilin University chosen
    Jilin University is a major national research university in Changchun, China, known for its comprehensive academic programs and strong emphasis on science and engineering.
  • B. Nanjing University
    Nanjing University is one of China’s oldest and most prestigious research universities, renowned for its strong academic programs and historical significance.
  • C. Wuhan University
    Wuhan University is a major comprehensive research university in Wuhan, China, renowned for its strong academic programs and picturesque campus.
  • D. Fudan University
    Fudan University is a prestigious and comprehensive research university in Shanghai, China, renowned for its strong academic programs and leading role in Chinese higher education.
  • E. Peking University
    Peking University is a leading Chinese research university in Beijing, renowned for its academic excellence, historical significance, and global influence.
  • 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_69c6887cbc6c8190bdfac42d940f4d8a completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e4f1f5748190b214856bcfc70d81 completed March 27, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79477a79c81909b51175a24d17142 completed March 28, 2026, 8:42 a.m.
Created at: March 27, 2026, 2:40 p.m.