Triple
T14875497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International Institute of Information Technology, Hyderabad |
E349855
|
entity |
| Predicate | hasResearchCenter |
P40
|
FINISHED |
| Object |
Center for Data Engineering
The Center for Data Engineering is a research hub at IIIT Hyderabad focused on advancing data science, big data systems, and machine learning technologies.
|
E1125990
|
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: Center for Data Engineering | Statement: [International Institute of Information Technology, Hyderabad, hasResearchCenter, Center for Data Engineering]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Center for Data Engineering Context triple: [International Institute of Information Technology, Hyderabad, hasResearchCenter, Center for Data Engineering]
-
A.
Centre for Data Management
The Centre for Data Management is a specialized unit within the Norwegian Institute of Public Health responsible for handling, processing, and ensuring the quality and accessibility of health-related data for research and public health decision-making.
-
B.
Statistics and Data Science Center
The Statistics and Data Science Center is an MIT hub that advances research and education in statistics, machine learning, and data science across disciplines.
-
C.
Office of Data Science
The Office of Data Science is a specialized unit that applies advanced data analytics and quantitative methods to support the U.S. Securities and Exchange Commission’s economic, risk, and policy analysis.
-
D.
School of Big Data and Software Engineering
The School of Big Data and Software Engineering is an academic unit of Chongqing University specializing in education and research in big data technologies, software engineering, and related computing disciplines.
-
E.
Robert Bosch Centre for Data Science and Artificial Intelligence
The Robert Bosch Centre for Data Science and Artificial Intelligence is a leading interdisciplinary research hub focused on advancing AI and data science through cutting-edge research, innovation, and industry collaboration.
- 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: Center for Data Engineering Triple: [International Institute of Information Technology, Hyderabad, hasResearchCenter, Center for Data Engineering]
Generated description
The Center for Data Engineering is a research hub at IIIT Hyderabad focused on advancing data science, big data systems, and machine learning technologies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Center for Data Engineering Target entity description: The Center for Data Engineering is a research hub at IIIT Hyderabad focused on advancing data science, big data systems, and machine learning technologies.
-
A.
Centre for Data Management
The Centre for Data Management is a specialized unit within the Norwegian Institute of Public Health responsible for handling, processing, and ensuring the quality and accessibility of health-related data for research and public health decision-making.
-
B.
Statistics and Data Science Center
The Statistics and Data Science Center is an MIT hub that advances research and education in statistics, machine learning, and data science across disciplines.
-
C.
Office of Data Science
The Office of Data Science is a specialized unit that applies advanced data analytics and quantitative methods to support the U.S. Securities and Exchange Commission’s economic, risk, and policy analysis.
-
D.
School of Big Data and Software Engineering
The School of Big Data and Software Engineering is an academic unit of Chongqing University specializing in education and research in big data technologies, software engineering, and related computing disciplines.
-
E.
Robert Bosch Centre for Data Science and Artificial Intelligence
The Robert Bosch Centre for Data Science and Artificial Intelligence is a leading interdisciplinary research hub focused on advancing AI and data science through cutting-edge research, innovation, and industry collaboration.
- 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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5e3e5d48190a132f2cf012b01e2 |
completed | April 15, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b52c12481908d0173a2a3ed854b |
completed | May 8, 2026, 11:01 p.m. |
| NEDg | Description generation | batch_69fe6bf09424819095fa5b2e20e8d07d |
completed | May 8, 2026, 11:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe6c6ebe4881909334d772e45403f6 |
completed | May 8, 2026, 11:06 p.m. |
Created at: April 10, 2026, 1:55 a.m.