Triple
T13999580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Centre for NEMS and Nanophotonics |
E336786
|
entity |
| Predicate | parentOrganization |
P254
|
FINISHED |
| Object |
Department of Mechanical Engineering, IIT Madras
The Department of Mechanical Engineering at IIT Madras is a leading academic and research department in India, known for its strong programs in core mechanical disciplines and advanced areas such as robotics, manufacturing, and nanotechnology.
|
E338600
|
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 Mechanical Engineering, IIT Madras | Statement: [Centre for NEMS and Nanophotonics, parentOrganization, Department of Mechanical Engineering, IIT Madras]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Mechanical Engineering, IIT Madras Context triple: [Centre for NEMS and Nanophotonics, parentOrganization, Department of Mechanical Engineering, IIT Madras]
-
A.
Department of Mechanical Engineering, IIT Delhi
The Department of Mechanical Engineering at IIT Delhi is a leading academic and research department in India, known for its strong undergraduate and postgraduate programs, cutting-edge research, and industry collaboration in core and emerging areas of mechanical engineering.
-
B.
MIT Department of Mechanical Engineering
The MIT Department of Mechanical Engineering is a leading academic and research department at the Massachusetts Institute of Technology, renowned for pioneering work in areas such as robotics, energy, manufacturing, and ocean engineering.
-
C.
Department of Mechanical Engineering
The Department of Mechanical Engineering is an academic unit at Konya Technical University focused on education and research in mechanical systems, design, and related engineering fields.
-
D.
Department of Mechanical Engineering
The Department of Mechanical Engineering is an academic unit at PSG College of Technology that offers education and research programs in mechanical engineering and related fields.
-
E.
Department of Mechanical Engineering
The Department of Mechanical Engineering is an academic unit focused on teaching and research in areas such as mechanics, thermodynamics, materials, and machine design within the School of Sciences 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: Department of Mechanical Engineering, IIT Madras Triple: [Centre for NEMS and Nanophotonics, parentOrganization, Department of Mechanical Engineering, IIT Madras]
Generated description
The Department of Mechanical Engineering at IIT Madras is a leading academic and research department in India, known for its strong programs in core mechanical disciplines and advanced areas such as robotics, manufacturing, and nanotechnology.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Mechanical Engineering, IIT Madras Target entity description: The Department of Mechanical Engineering at IIT Madras is a leading academic and research department in India, known for its strong programs in core mechanical disciplines and advanced areas such as robotics, manufacturing, and nanotechnology.
-
A.
Department of Mechanical Engineering, IIT Delhi
The Department of Mechanical Engineering at IIT Delhi is a leading academic and research department in India, known for its strong undergraduate and postgraduate programs, cutting-edge research, and industry collaboration in core and emerging areas of mechanical engineering.
-
B.
MIT Department of Mechanical Engineering
The MIT Department of Mechanical Engineering is a leading academic and research department at the Massachusetts Institute of Technology, renowned for pioneering work in areas such as robotics, energy, manufacturing, and ocean engineering.
-
C.
Department of Mechanical Engineering
chosen
The Department of Mechanical Engineering at the Indian Institute of Technology Madras is a leading academic and research department in India, known for its strong programs in mechanical design, manufacturing, thermal sciences, and related engineering fields.
-
D.
Department of Mechanical Engineering
The Department of Mechanical Engineering is an academic unit within the Howard R. Hughes College of Engineering that focuses on the study, research, and application of mechanics, materials, thermofluids, and design in engineering systems.
-
E.
Department of Mechanical Engineering
The Department of Mechanical Engineering at The University of Hong Kong is an academic unit that offers education and conducts research in areas such as mechanics, materials, thermofluids, design, and manufacturing within the broader Faculty of Engineering.
- F. None of above.
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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2eb81b208190a961e49a02fa4140 |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbac9f1f6c8190af7ddac920661bd5 |
completed | May 6, 2026, 9:03 p.m. |
| NEDg | Description generation | batch_69fbae3d04f081908c8d28148b4f1de0 |
completed | May 6, 2026, 9:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fbaf41636c8190bf44bd238bd9d9a4 |
completed | May 6, 2026, 9:14 p.m. |
Created at: April 9, 2026, 10:19 p.m.