Triple
T7029423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chittagong University of Engineering and Technology |
E163232
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object |
Department of Water Resources Engineering
The Department of Water Resources Engineering is an academic unit specializing in the study, design, and management of water resources systems within Chittagong University of Engineering and Technology.
|
E637488
|
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 Water Resources Engineering | Statement: [Chittagong University of Engineering and Technology, hasDepartment, Department of Water Resources Engineering]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Water Resources Engineering Context triple: [Chittagong University of Engineering and Technology, hasDepartment, Department of Water Resources Engineering]
-
A.
Department of Civil Engineering
The Department of Civil Engineering is an academic unit at the College of Engineering Pune that focuses on education and research in areas such as structural, geotechnical, transportation, and environmental engineering.
-
B.
Department of Civil Engineering
The Department of Civil Engineering at Kyoto University is an academic unit specializing in education and research on the planning, design, construction, and maintenance of infrastructure and the built environment.
-
C.
Department of Civil Engineering
The Department of Civil Engineering is an academic unit specializing in the education and research of infrastructure design, construction, and maintenance within the Manipal Institute of Technology.
-
D.
Department of Civil Engineering
The Department of Civil Engineering is an academic unit within the Schulich School of Engineering that focuses on education and research in the planning, design, construction, and maintenance of infrastructure and the built environment.
-
E.
Department of Civil Engineering
The Department of Civil Engineering is an academic unit specializing in the education and research of infrastructure, construction, and environmental systems within the University of Puerto Rico at Mayagüez College of 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 Water Resources Engineering Triple: [Chittagong University of Engineering and Technology, hasDepartment, Department of Water Resources Engineering]
Generated description
The Department of Water Resources Engineering is an academic unit specializing in the study, design, and management of water resources systems within Chittagong University of Engineering and Technology.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Water Resources Engineering Target entity description: The Department of Water Resources Engineering is an academic unit specializing in the study, design, and management of water resources systems within Chittagong University of Engineering and Technology.
-
A.
Department of Civil Engineering
The Department of Civil Engineering is an academic unit at the College of Engineering Pune that focuses on education and research in areas such as structural, geotechnical, transportation, and environmental engineering.
-
B.
Department of Civil Engineering
The Department of Civil Engineering at Kyoto University is an academic unit specializing in education and research on the planning, design, construction, and maintenance of infrastructure and the built environment.
-
C.
Department of Civil Engineering
The Department of Civil Engineering is an academic unit specializing in the education and research of infrastructure design, construction, and maintenance within the Manipal Institute of Technology.
-
D.
Department of Civil Engineering
The Department of Civil Engineering is an academic unit within the Schulich School of Engineering that focuses on education and research in the planning, design, construction, and maintenance of infrastructure and the built environment.
-
E.
Department of Civil Engineering
The Department of Civil Engineering is an academic unit specializing in the education and research of infrastructure, construction, and environmental systems within the University of Puerto Rico at Mayagüez College of Engineering.
- 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_69c6885d691c81908cf7d31083113886 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e200ecdc819098ca07473dfb272a |
completed | March 27, 2026, 8:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c775919734819083beb10b4c2b146e |
completed | March 28, 2026, 6:30 a.m. |
| NEDg | Description generation | batch_69c7791d319881909470d0fa5f38f68e |
completed | March 28, 2026, 6:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c779f5342881909085cae84299831c |
completed | March 28, 2026, 6:49 a.m. |
Created at: March 27, 2026, 2:35 p.m.