Triple
T2484934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tsinghua University |
E55902
|
entity |
| Predicate | hasResearchInstitute |
P186
|
FINISHED |
| Object |
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.
|
E271057
|
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: Tsinghua National Laboratory for Information Science and Technology | Statement: [Tsinghua University, hasResearchInstitute, Tsinghua National Laboratory for Information Science and Technology]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tsinghua National Laboratory for Information Science and Technology Context triple: [Tsinghua University, hasResearchInstitute, Tsinghua National Laboratory for Information Science and Technology]
-
A.
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.
-
B.
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.
-
C.
University of Electronic Science and Technology of China
The University of Electronic Science and Technology of China is a leading Chinese research university renowned for its strengths in electronic engineering, information technology, and related high-tech disciplines.
-
D.
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.
-
E.
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.
- 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: Tsinghua National Laboratory for Information Science and Technology Triple: [Tsinghua University, hasResearchInstitute, Tsinghua National Laboratory for Information Science and Technology]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tsinghua National Laboratory for Information Science and Technology Target entity description: 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.
-
A.
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.
-
B.
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.
-
C.
University of Electronic Science and Technology of China
The University of Electronic Science and Technology of China is a leading Chinese research university renowned for its strengths in electronic engineering, information technology, and related high-tech disciplines.
-
D.
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.
-
E.
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.
- 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_69ab49e670a88190b928e08302381710 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd175f5ac8190870db9c6cb8e45bd |
completed | March 7, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af17b7b4f08190b23af81c696bba4e |
completed | March 9, 2026, 6:55 p.m. |
| NEDg | Description generation | batch_69af1ba6e1408190ac021c1c1d1c3b2e |
completed | March 9, 2026, 7:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69af1c53dbe481908f73e1fe8d61c32e |
completed | March 9, 2026, 7:15 p.m. |
Created at: March 6, 2026, 9:45 p.m.