Triple
T11437977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Institute for Interdisciplinary Information Sciences |
E271058
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object |
School of Information Science and Technology of Tsinghua University
The School of Information Science and Technology of Tsinghua University is a leading academic unit specializing in information science, computer science, and related interdisciplinary technologies within China’s top-ranked Tsinghua University.
|
E927050
|
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: School of Information Science and Technology of Tsinghua University | Statement: [Institute for Interdisciplinary Information Sciences, partOf, School of Information Science and Technology of Tsinghua University]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: School of Information Science and Technology of Tsinghua University Context triple: [Institute for Interdisciplinary Information Sciences, partOf, School of Information Science and Technology of Tsinghua University]
-
A.
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.
-
B.
Institute for Interdisciplinary Information Sciences
The Institute for Interdisciplinary Information Sciences is a leading research center at Tsinghua University focused on cutting-edge work in computer science, quantum information, and related interdisciplinary fields.
-
C.
Tsinghua University School of Economics and Management
Tsinghua University School of Economics and Management is a leading Chinese business school known for its rigorous academic programs, influential research, and strong international collaborations.
-
D.
Harbin Institute of Technology
Harbin Institute of Technology is a leading Chinese research university renowned for its engineering, science, and technology programs and its role in the country's aerospace and defense industries.
-
E.
Beihang University
Beihang University is a leading Chinese research university in Beijing renowned for its programs in aeronautics, astronautics, and engineering.
- 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: School of Information Science and Technology of Tsinghua University Triple: [Institute for Interdisciplinary Information Sciences, partOf, School of Information Science and Technology of Tsinghua University]
Generated description
The School of Information Science and Technology of Tsinghua University is a leading academic unit specializing in information science, computer science, and related interdisciplinary technologies within China’s top-ranked Tsinghua University.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: School of Information Science and Technology of Tsinghua University Target entity description: The School of Information Science and Technology of Tsinghua University is a leading academic unit specializing in information science, computer science, and related interdisciplinary technologies within China’s top-ranked Tsinghua University.
-
A.
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.
-
B.
Institute for Interdisciplinary Information Sciences
The Institute for Interdisciplinary Information Sciences is a leading research center at Tsinghua University focused on cutting-edge work in computer science, quantum information, and related interdisciplinary fields.
-
C.
Tsinghua University School of Economics and Management
Tsinghua University School of Economics and Management is a leading Chinese business school known for its rigorous academic programs, influential research, and strong international collaborations.
-
D.
Harbin Institute of Technology
Harbin Institute of Technology is a leading Chinese research university renowned for its engineering, science, and technology programs and its role in the country's aerospace and defense industries.
-
E.
Beihang University
Beihang University is a leading Chinese research university in Beijing renowned for its programs in aeronautics, astronautics, and engineering.
- 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_69d6aadeef688190874bcecd88b3dd9b |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8088711ec8190afae9f4d9f2a11ca |
completed | April 9, 2026, 8:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5e8ed579c8190b1ddc1dce20d9617 |
completed | April 20, 2026, 8:50 a.m. |
| NEDg | Description generation | batch_69e5f1557e9c8190b53ce391793b2c7f |
completed | April 20, 2026, 9:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5f863bf7c81908969ed0a5b99f032 |
completed | April 20, 2026, 9:56 a.m. |
Created at: April 8, 2026, 9:35 p.m.