Triple

T23015906
Position Surface form Disambiguated ID Type / Status
Subject Liu Xiaobo E573028 entity
Predicate educatedAt P5 FINISHED
Object Jilin University NE NERFINISHED

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: [Liu Xiaobo, educatedAt, Jilin University]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jilin University
Context triple: [Liu Xiaobo, educatedAt, 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. Heilongjiang University
    Heilongjiang University is a major comprehensive public university in China’s northeastern region, known for its programs in Russian studies, international relations, and engineering.
  • C. Liaoning University
    Liaoning University is a comprehensive public university in Shenyang, China, known for its strong programs in economics, law, and humanities.
  • D. Nanjing University
    Nanjing University is one of China’s oldest and most prestigious research universities, renowned for its strong academic programs and historical significance.
  • E. Wuhan University
    Wuhan University is a major comprehensive research university in Wuhan, China, renowned for its strong academic programs and picturesque campus.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e245b764cc8190a51be76f1d9611e1 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f183e4dcd48190b2b1c2ab43205e41 completed April 29, 2026, 4:07 a.m.
Created at: April 17, 2026, 3:51 p.m.