Triple

T417554
Position Surface form Disambiguated ID Type / Status
Subject Central China Normal University E8027 entity
Predicate shortName P43 FINISHED
Object CCNU E8027 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: CCNU | Statement: [Central China Normal University, shortName, CCNU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CCNU
Context triple: [Central China Normal University, shortName, CCNU]
  • A. NCC
    NCC is an abbreviation commonly used for a Network Control Center, the facility responsible for monitoring and managing a communications or computer network’s operations.
  • B. Central China Normal University chosen
    Central China Normal University is a comprehensive public research university in Wuhan, China, known for its strong programs in teacher education and the humanities.
  • C. CCCF
    CCCF was a former regional football confederation in Central America and the Caribbean that governed the sport before being merged into CONCACAF.
  • D. Chongxin
    Chongxin is the Chinese given name of Joe Tsai, the Taiwanese-Canadian co-founder and executive vice chairman of Alibaba Group.
  • 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_69a2e7f1d1bc81909cf2dc9754a3c334 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ee9059248190ba901680431914b5 completed Feb. 28, 2026, 1:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69a423a4debc819098e13855b550a72e completed March 1, 2026, 11:31 a.m.
Created at: Feb. 28, 2026, 1:11 p.m.