Triple

T2568190
Position Surface form Disambiguated ID Type / Status
Subject Wuhan main campus E57600 entity
Predicate name P16 FINISHED
Object Wuhan main campus E57600 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: Wuhan main campus | Statement: [Wuhan main campus, name, Wuhan main campus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wuhan main campus
Context triple: [Wuhan main campus, name, Wuhan main campus]
  • A. Wuhan main campus chosen
    Wuhan main campus is the primary and largest campus of Huazhong University of Science and Technology, located in Wuhan, Hubei Province, China.
  • B. Wushan Campus
    Wushan Campus is the main campus of South China University of Technology, located in the Wushan area of Guangzhou, China.
  • C. Jiangwan campus
    Jiangwan campus is one of Fudan University's main campuses in Shanghai, known for its modern facilities and expansive, newly developed grounds.
  • D. Wuhan University
    Wuhan University is a major comprehensive research university in Wuhan, China, renowned for its strong academic programs and picturesque campus.
  • E. Nanhu Campus
    Nanhu Campus is one of the main campuses of Zhongnan University of Economics and Law, housing a significant portion of its academic and student facilities.
  • 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_69ab4a51410081908501dcf8bad9adc4 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd36191848190b6255fa9029429bd completed March 7, 2026, 7:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69af6569e38881908d1492277fe0c60c completed March 10, 2026, 12:27 a.m.
Created at: March 6, 2026, 9:48 p.m.