Triple
T4962262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nanshan District |
E111435
|
entity |
| Predicate | hostsInstitution |
P186
|
FINISHED |
| Object |
Shenzhen Research Institute of Tsinghua University
The Shenzhen Research Institute of Tsinghua University is a major research and innovation hub established by Tsinghua University in Shenzhen to promote advanced scientific research, technology transfer, and industry–academia collaboration in southern China.
|
E483412
|
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: Shenzhen Research Institute of Tsinghua University | Statement: [Nanshan District, hostsInstitution, Shenzhen Research Institute of Tsinghua University]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shenzhen Research Institute of Tsinghua University Context triple: [Nanshan District, hostsInstitution, Shenzhen Research Institute of Tsinghua University]
-
A.
Tsinghua-Berkeley Shenzhen Institute
The Tsinghua-Berkeley Shenzhen Institute is a joint research and education institute established by Tsinghua University and the University of California, Berkeley in Shenzhen to foster interdisciplinary innovation and international collaboration.
-
B.
Tsinghua National Laboratory for Information Science and Technology
Tsinghua National Laboratory for Information Science and Technology is a major Chinese research center focused on cutting-edge information science, engineering, and technology, affiliated with Tsinghua University in Beijing.
-
C.
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.
-
D.
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.
-
E.
UM–SJTU Joint Institute
The UM–SJTU Joint Institute is a Sino-foreign engineering education and research institute collaboratively established by Shanghai Jiao Tong University and the University of Michigan, offering English-language, U.S.-style programs in China.
- 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: Shenzhen Research Institute of Tsinghua University Triple: [Nanshan District, hostsInstitution, Shenzhen Research Institute of Tsinghua University]
Generated description
The Shenzhen Research Institute of Tsinghua University is a major research and innovation hub established by Tsinghua University in Shenzhen to promote advanced scientific research, technology transfer, and industry–academia collaboration in southern China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shenzhen Research Institute of Tsinghua University Target entity description: The Shenzhen Research Institute of Tsinghua University is a major research and innovation hub established by Tsinghua University in Shenzhen to promote advanced scientific research, technology transfer, and industry–academia collaboration in southern China.
-
A.
Tsinghua-Berkeley Shenzhen Institute
The Tsinghua-Berkeley Shenzhen Institute is a joint research and education institute established by Tsinghua University and the University of California, Berkeley in Shenzhen to foster interdisciplinary innovation and international collaboration.
-
B.
Tsinghua National Laboratory for Information Science and Technology
Tsinghua National Laboratory for Information Science and Technology is a major Chinese research center focused on cutting-edge information science, engineering, and technology, affiliated with Tsinghua University in Beijing.
-
C.
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.
-
D.
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.
-
E.
UM–SJTU Joint Institute
The UM–SJTU Joint Institute is a Sino-foreign engineering education and research institute collaboratively established by Shanghai Jiao Tong University and the University of Michigan, offering English-language, U.S.-style programs in China.
- F. None of above. chosen
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_69bd4419393c819086319a6fe4bf8542 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd71f3e6148190b99f35734220ffc3 |
completed | March 20, 2026, 4:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be81ea8cc08190af40098ca99364f1 |
completed | March 21, 2026, 11:32 a.m. |
| NEDg | Description generation | batch_69be82dcc280819098eac824370b1af0 |
completed | March 21, 2026, 11:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be8349507481908643591de7f03f42 |
completed | March 21, 2026, 11:38 a.m. |
Created at: March 20, 2026, 1:32 p.m.