Triple
T4475701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern University of Science and Technology |
E100003
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | SUSTech |
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: SUSTech | Statement: [Southern University of Science and Technology, shortName, SUSTech]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SUSTech Context triple: [Southern University of Science and Technology, shortName, SUSTech]
-
A.
Harbin Institute of Technology Shenzhen campus
Harbin Institute of Technology Shenzhen campus is a major branch of the prestigious Harbin Institute of Technology, serving as a key research-oriented university campus in Shenzhen focused on engineering, science, and innovation.
-
B.
Shenzhen University
Shenzhen University is a comprehensive public university in Shenzhen, China, known for its rapid development, strong ties to the tech industry, and emphasis on innovation and applied research.
-
C.
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.
-
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.
University of Science and Technology of China
The University of Science and Technology of China is a leading Chinese research university renowned for its strengths in science and engineering and its affiliation with the Chinese Academy of Sciences.
- 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_69b34553cbe48190afa8ac1cac285b86 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b356bc4a248190b4a031f07f39b5bd |
completed | March 13, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6287f076081909bca3643ac489fcf |
completed | March 15, 2026, 3:33 a.m. |
Created at: March 12, 2026, 11:35 p.m.