Triple

T847095
Position Surface form Disambiguated ID Type / Status
Subject Shenzhen E18299 entity
Predicate hasUniversity P113 FINISHED
Object Southern University of Science and Technology E100003 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: Southern University of Science and Technology | Statement: [Shenzhen, hasUniversity, Southern University of Science and Technology]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Southern University of Science and Technology
Context triple: [Shenzhen, hasUniversity, Southern University of Science and Technology]
  • A. Southern University of Science and Technology chosen
    Southern University of Science and Technology is a public research university in Shenzhen, China, known for its strong emphasis on science, engineering, and innovation-driven education and research.
  • B. Hong Kong University of Science and Technology
    Hong Kong University of Science and Technology is a leading public research university in Hong Kong known for its strengths in science, engineering, business, and technology innovation.
  • C. The Chinese University of Hong Kong
    The Chinese University of Hong Kong is a major public research university in Hong Kong known for its bilingual education, collegiate system, and strong emphasis on both Chinese and international scholarship.
  • D. Tsinghua University
    Tsinghua University is a leading research-intensive university in Beijing, China, renowned for its strong engineering, science, and technology programs and its significant influence in Chinese higher education and innovation.
  • 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.
  • 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_69a4938b04208190b82e1df6b572c548 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac0ba6b4819089c15ed7e1765502 completed March 1, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7c016a8a88190965e7c703b0329fb completed March 4, 2026, 5:16 a.m.
Created at: March 1, 2026, 7:38 p.m.