Triple
T8614971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madurai Kamaraj University |
E204011
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object |
School of Energy, Environment and Natural Resources
The School of Energy, Environment and Natural Resources is an academic unit of Madurai Kamaraj University focused on education and research in sustainable energy, environmental science, and natural resource management.
|
E745486
|
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 Energy, Environment and Natural Resources | Statement: [Madurai Kamaraj University, hasComponent, School of Energy, Environment and Natural Resources]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: School of Energy, Environment and Natural Resources Context triple: [Madurai Kamaraj University, hasComponent, School of Energy, Environment and Natural Resources]
-
A.
School of Environment and Energy
The School of Environment and Energy is an academic unit of South China University of Technology focused on education and research in environmental science, engineering, and sustainable energy technologies.
-
B.
School of Energy Resources
The School of Energy Resources is a University of Wyoming academic and research unit focused on energy-related education, innovation, and industry collaboration, particularly in areas like fossil fuels, renewables, and energy policy.
-
C.
Faculty of Environment and Resource Studies
The Faculty of Environment and Resource Studies is an academic unit of Mahidol University in Thailand specializing in education and research on environmental science, natural resource management, and sustainable development.
-
D.
Faculty of Environment and Natural Resources
The Faculty of Environment and Natural Resources is an academic division of the University of Freiburg specializing in environmental sciences, natural resource management, and sustainability research and education.
-
E.
School of Environmental Science and Engineering
The School of Environmental Science and Engineering is an academic unit specializing in education and research on environmental protection, sustainable development, and related engineering solutions.
- 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 Energy, Environment and Natural Resources Triple: [Madurai Kamaraj University, hasComponent, School of Energy, Environment and Natural Resources]
Generated description
The School of Energy, Environment and Natural Resources is an academic unit of Madurai Kamaraj University focused on education and research in sustainable energy, environmental science, and natural resource management.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: School of Energy, Environment and Natural Resources Target entity description: The School of Energy, Environment and Natural Resources is an academic unit of Madurai Kamaraj University focused on education and research in sustainable energy, environmental science, and natural resource management.
-
A.
School of Environment and Energy
The School of Environment and Energy is an academic unit of South China University of Technology focused on education and research in environmental science, engineering, and sustainable energy technologies.
-
B.
School of Energy Resources
The School of Energy Resources is a University of Wyoming academic and research unit focused on energy-related education, innovation, and industry collaboration, particularly in areas like fossil fuels, renewables, and energy policy.
-
C.
Faculty of Environment and Resource Studies
The Faculty of Environment and Resource Studies is an academic unit of Mahidol University in Thailand specializing in education and research on environmental science, natural resource management, and sustainable development.
-
D.
Faculty of Environment and Natural Resources
The Faculty of Environment and Natural Resources is an academic division of the University of Freiburg specializing in environmental sciences, natural resource management, and sustainability research and education.
-
E.
School of Environmental Science and Engineering
The School of Environmental Science and Engineering is an academic unit specializing in education and research on environmental protection, sustainable development, and related engineering solutions.
- 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_69ca832ceab8819096e4a9f546695079 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc47020748819090f658c115c1a7b9 |
completed | March 31, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cea91c30ec81908dafc1caf057e41c |
completed | April 2, 2026, 5:36 p.m. |
| NEDg | Description generation | batch_69cea9e685388190a4be9d2135dc02d0 |
completed | April 2, 2026, 5:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ceaababe2c8190bc47430d33bfdbaa |
completed | April 2, 2026, 5:43 p.m. |
Created at: March 30, 2026, 6:25 p.m.