Triple

T5978568
Position Surface form Disambiguated ID Type / Status
Subject Wang Shu E133061 entity
Predicate educatedAt P5 FINISHED
Object Southeast University E172876 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: Southeast University | Statement: [Wang Shu, educatedAt, Southeast University]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Southeast University
Context triple: [Wang Shu, educatedAt, Southeast University]
  • A. Southeast University chosen
    Southeast University is a major public research university in Nanjing, China, known for its strong engineering, architecture, and technology programs.
  • B. Nanjing University of Science and Technology
    Nanjing University of Science and Technology is a prominent Chinese research university known for its strong programs in engineering, science, and technology.
  • C. Nanjing University
    Nanjing University is one of China’s oldest and most prestigious research universities, renowned for its strong academic programs and historical significance.
  • D. Nanjing Normal University
    Nanjing Normal University is a comprehensive public university in Nanjing, China, known for its strong teacher education programs and broad range of disciplines.
  • E. Soochow University
    Soochow University is a major comprehensive research university in Suzhou, China, known for its strong programs in humanities, social sciences, and engineering.
  • 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_69c0086f45e8819098f73dd16d45ec9d completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04a3e686c81908910c0881ac1624d completed March 22, 2026, 7:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69c10847cdec81908a4d2d19d8a53d1d completed March 23, 2026, 9:30 a.m.
Created at: March 22, 2026, 4:04 p.m.