Triple

T12660261
Position Surface form Disambiguated ID Type / Status
Subject Hua Dong Li Gong Da Xue E302402 entity
Predicate abbreviation P43 FINISHED
Object ECUST E39223 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: ECUST | Statement: [Hua Dong Li Gong Da Xue, abbreviation, ECUST]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ECUST
Context triple: [Hua Dong Li Gong Da Xue, abbreviation, ECUST]
  • A. CSUST
    CSUST is a Chinese university in Changsha, Hunan, specializing in science, engineering, and technology disciplines.
  • B. East China University of Science and Technology chosen
    East China University of Science and Technology is a prominent research-oriented university in Shanghai, China, known for its strengths in chemical engineering, materials science, and related technological disciplines.
  • C. Arqus European University Alliance
    Arqus European University Alliance is a transnational network of European universities collaborating to enhance higher education, research, and societal engagement across member institutions.
  • D. UNITEC
    UNITEC is a private Honduran university known for its technology-focused academic programs and modern, industry-oriented education.
  • E. ShanghaiTech University
    ShanghaiTech University is a young, research-focused public university in Shanghai, China, emphasizing science, engineering, and innovation in collaboration with global and industrial partners.
  • 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_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9617b07ec8190b714f04ae6654060 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f66885e44c8190a650301b0e86d0f4 completed May 2, 2026, 9:11 p.m.
Created at: April 9, 2026, 5:19 p.m.