Triple
T11672342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chinese Ministry of Science and Technology |
E277411
|
entity |
| Predicate | subordinateAgency |
P23339
|
FINISHED |
| Object |
Department of Policy, Regulation and Innovation System
The Department of Policy, Regulation and Innovation System is a specialized division under China’s Ministry of Science and Technology responsible for formulating science and technology policies, regulatory frameworks, and mechanisms that support the national innovation system.
|
E940208
|
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: Department of Policy, Regulation and Innovation System | Statement: [Chinese Ministry of Science and Technology, subordinateAgency, Department of Policy, Regulation and Innovation System]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Policy, Regulation and Innovation System Context triple: [Chinese Ministry of Science and Technology, subordinateAgency, Department of Policy, Regulation and Innovation System]
-
A.
Department of Systems Innovation
The Department of Systems Innovation is an academic department at the University of Tokyo focused on interdisciplinary research and education in complex systems, engineering, and innovation.
-
B.
Department of Strategy and Innovation
The Department of Strategy and Innovation is an academic unit at Copenhagen Business School focused on research and teaching in corporate strategy, entrepreneurship, and innovation management.
-
C.
Centre for Science, Technology and Innovation Policy
The Centre for Science, Technology and Innovation Policy is a research centre at the University of Cambridge that focuses on evidence-based analysis and design of policies to support science, technology development and innovation-led growth.
-
D.
Office of Policy Development and Research
The Office of Policy Development and Research is a research and policy analysis division within the U.S. federal government that studies housing and urban development issues to inform national housing policy and programs.
-
E.
Penn Program on Regulation
The Penn Program on Regulation is a research and policy initiative at the University of Pennsylvania focused on improving the design, implementation, and understanding of regulatory systems across diverse sectors.
- 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: Department of Policy, Regulation and Innovation System Triple: [Chinese Ministry of Science and Technology, subordinateAgency, Department of Policy, Regulation and Innovation System]
Generated description
The Department of Policy, Regulation and Innovation System is a specialized division under China’s Ministry of Science and Technology responsible for formulating science and technology policies, regulatory frameworks, and mechanisms that support the national innovation system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Policy, Regulation and Innovation System Target entity description: The Department of Policy, Regulation and Innovation System is a specialized division under China’s Ministry of Science and Technology responsible for formulating science and technology policies, regulatory frameworks, and mechanisms that support the national innovation system.
-
A.
Department of Systems Innovation
The Department of Systems Innovation is an academic department at the University of Tokyo focused on interdisciplinary research and education in complex systems, engineering, and innovation.
-
B.
Department of Strategy and Innovation
The Department of Strategy and Innovation is an academic unit at Copenhagen Business School focused on research and teaching in corporate strategy, entrepreneurship, and innovation management.
-
C.
Centre for Science, Technology and Innovation Policy
The Centre for Science, Technology and Innovation Policy is a research centre at the University of Cambridge that focuses on evidence-based analysis and design of policies to support science, technology development and innovation-led growth.
-
D.
Office of Policy Development and Research
The Office of Policy Development and Research is a research and policy analysis division within the U.S. federal government that studies housing and urban development issues to inform national housing policy and programs.
-
E.
Penn Program on Regulation
The Penn Program on Regulation is a research and policy initiative at the University of Pennsylvania focused on improving the design, implementation, and understanding of regulatory systems across diverse sectors.
- 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_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a443b6848190a1eb6825fbc49d08 |
completed | April 10, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef13d3a8608190a084d8bbcac4f924 |
completed | April 27, 2026, 7:44 a.m. |
| NEDg | Description generation | batch_69ef3551b9a88190a9b30bcb2592628b |
completed | April 27, 2026, 10:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ef51c17078819083f05036f290ce09 |
completed | April 27, 2026, 12:08 p.m. |
Created at: April 8, 2026, 9:40 p.m.