Triple
T16275475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Department of Electrical Engineering, College of Engineering Pune |
E395112
|
entity |
| Predicate | hasLaboratory |
P105
|
FINISHED |
| Object |
power systems laboratory
The power systems laboratory is a specialized facility within the Department of Electrical Engineering at the College of Engineering Pune where students and researchers study, simulate, and experiment with electrical power generation, transmission, and distribution systems.
|
E1204669
|
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: power systems laboratory | Statement: [Department of Electrical Engineering, College of Engineering Pune, hasLaboratory, power systems laboratory]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: power systems laboratory Context triple: [Department of Electrical Engineering, College of Engineering Pune, hasLaboratory, power systems laboratory]
-
A.
Power Systems Division
Power Systems Division is a business unit of Mitsubishi Heavy Industries that focuses on developing and supplying power generation and energy-related systems and solutions.
-
B.
Department of Electrical Power Engineering
The Department of Electrical Power Engineering is an academic unit specializing in the study and research of electrical power systems, including generation, transmission, distribution, and control of electrical energy.
-
C.
IEEE Industrial and Commercial Power Systems Department
The IEEE Industrial and Commercial Power Systems Department is a technical group within IEEE focused on advancing standards, research, and best practices for power systems in industrial and commercial facilities.
-
D.
IEEE Industrial and Commercial Power Systems Conference
The IEEE Industrial and Commercial Power Systems Conference is a technical conference focused on the design, analysis, and application of electrical power systems in industrial and commercial facilities.
-
E.
Energy and Electric Systems Group
The Energy and Electric Systems Group is a core Mitsubishi Electric business division focused on developing and supplying power, energy, and electrical infrastructure systems and 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: power systems laboratory Triple: [Department of Electrical Engineering, College of Engineering Pune, hasLaboratory, power systems laboratory]
Generated description
The power systems laboratory is a specialized facility within the Department of Electrical Engineering at the College of Engineering Pune where students and researchers study, simulate, and experiment with electrical power generation, transmission, and distribution systems.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: power systems laboratory Target entity description: The power systems laboratory is a specialized facility within the Department of Electrical Engineering at the College of Engineering Pune where students and researchers study, simulate, and experiment with electrical power generation, transmission, and distribution systems.
-
A.
Power Systems Division
Power Systems Division is a business unit of Mitsubishi Heavy Industries that focuses on developing and supplying power generation and energy-related systems and solutions.
-
B.
Department of Electrical Power Engineering
The Department of Electrical Power Engineering is an academic unit specializing in the study and research of electrical power systems, including generation, transmission, distribution, and control of electrical energy.
-
C.
IEEE Industrial and Commercial Power Systems Department
The IEEE Industrial and Commercial Power Systems Department is a technical group within IEEE focused on advancing standards, research, and best practices for power systems in industrial and commercial facilities.
-
D.
IEEE Industrial and Commercial Power Systems Conference
The IEEE Industrial and Commercial Power Systems Conference is a technical conference focused on the design, analysis, and application of electrical power systems in industrial and commercial facilities.
-
E.
Energy and Electric Systems Group
The Energy and Electric Systems Group is a core Mitsubishi Electric business division focused on developing and supplying power, energy, and electrical infrastructure systems and 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2460d30608190a721aa845fcf7cf6 |
completed | April 17, 2026, 2:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0017c0ef4c8190b44ac84f71b2ed41 |
completed | May 10, 2026, 5:29 a.m. |
| NEDg | Description generation | batch_6a001a35b43081909b44a22798b1ef1b |
completed | May 10, 2026, 5:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a001a93530c81908cb4180d9ebe9850 |
completed | May 10, 2026, 5:41 a.m. |
Created at: April 10, 2026, 5:05 a.m.