Triple

T9146198
Position Surface form Disambiguated ID Type / Status
Subject Shanghai University of Finance and Economics E219459 entity
Predicate hasAbbreviation P43 FINISHED
Object SUFE
SUFE is a leading Chinese university specializing in finance, economics, and business education and research.
 E766502 NE FINISHED

How this triple was built (4 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: SUFE | Statement: [Shanghai University of Finance and Economics, hasAbbreviation, SUFE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SUFE
Context triple: [Shanghai University of Finance and Economics, hasAbbreviation, SUFE]
  • A. SWUFE
    SWUFE is a leading Chinese university specializing in finance, economics, and business education and research.
  • B. SCUT
    SCUT is a major public research university in Guangzhou, China, known for its strong engineering, technology, and applied science programs.
  • C. Central South University
    Central South University is a major comprehensive research university in Changsha, Hunan, China, known for its strong engineering, medical, and materials science programs.
  • D. NUAA
    NUAA is a leading Chinese university in Nanjing specializing in aeronautics, astronautics, and engineering disciplines.
  • E. Fudan University
    Fudan University is a prestigious and comprehensive research university in Shanghai, China, renowned for its strong academic programs and leading role in Chinese higher education.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: SUFE
Triple: [Shanghai University of Finance and Economics, hasAbbreviation, SUFE]
Generated description
SUFE is a leading Chinese university specializing in finance, economics, and business education and research.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SUFE
Target entity description: SUFE is a leading Chinese university specializing in finance, economics, and business education and research.
  • A. SWUFE chosen
    SWUFE is a leading Chinese university specializing in finance, economics, and business education and research.
  • B. SCUT
    SCUT is a major public research university in Guangzhou, China, known for its strong engineering, technology, and applied science programs.
  • C. Central South University
    Central South University is a major comprehensive research university in Changsha, Hunan, China, known for its strong engineering, medical, and materials science programs.
  • D. NUAA
    NUAA is a leading Chinese university in Nanjing specializing in aeronautics, astronautics, and engineering disciplines.
  • E. Fudan University
    Fudan University is a prestigious and comprehensive research university in Shanghai, China, renowned for its strong academic programs and leading role in Chinese higher education.
  • F. None of above.

Provenance (5 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_69ca83e121dc81909912bd66953081c5 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca917914c8190b97ca9169bbd1e5e completed April 1, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d04820eef08190839cecb5bb74f122 completed April 3, 2026, 11:07 p.m.
NEDg Description generation batch_69d048dcd7448190bee7509495e964eb completed April 3, 2026, 11:10 p.m.
NED2 Entity disambiguation (via description) batch_69d049b6a0188190b52f833795a8ad05 completed April 3, 2026, 11:13 p.m.
Created at: March 30, 2026, 7:19 p.m.