Triple
T8734945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Engineering, University of Bristol |
E207355
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Department of Civil Engineering
The Department of Civil Engineering at the University of Bristol is an academic unit specializing in education and research on the planning, design, construction, and maintenance of infrastructure and the built environment.
|
E753234
|
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 Civil Engineering | Statement: [Faculty of Engineering, University of Bristol, hasPart, Department of Civil Engineering]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Civil Engineering Context triple: [Faculty of Engineering, University of Bristol, hasPart, Department of Civil Engineering]
-
A.
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.
-
B.
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.
-
C.
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.
-
D.
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.
-
E.
Department of Civil Engineering
The Department of Civil Engineering at the Indian Institute of Technology Bombay is a leading academic and research center in India focused on areas such as structural, geotechnical, transportation, environmental, and water resources 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 Civil Engineering Triple: [Faculty of Engineering, University of Bristol, hasPart, Department of Civil Engineering]
Generated description
The Department of Civil Engineering at the University of Bristol is an academic unit specializing in education and research on the planning, design, construction, and maintenance of infrastructure and the built environment.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Civil Engineering Target entity description: The Department of Civil Engineering at the University of Bristol is an academic unit specializing in education and research on the planning, design, construction, and maintenance of infrastructure and the built environment.
-
A.
Department of Civil Engineering
The Department of Civil Engineering is an academic unit specializing in the education and research of civil infrastructure design, construction, and maintenance.
-
B.
Department of Civil Engineering
The Department of Civil Engineering is an academic unit at Rajshahi University of Engineering & Technology that focuses on education and research in 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 within Anglia Ruskin University's Faculty of Science and Engineering that focuses on education and research in the planning, design, construction, and maintenance of infrastructure and the built environment.
-
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 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.
- 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_69ca8358e4008190898471a59b96c301 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d2b89988190bb7671e273026046 |
completed | March 31, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf2936f84081908cf91f1dc9a4d27f |
completed | April 3, 2026, 2:43 a.m. |
| NEDg | Description generation | batch_69cf2bfc2cc48190b13c54282c15e107 |
completed | April 3, 2026, 2:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf2cbf60808190a006ee4fb26cde41 |
completed | April 3, 2026, 2:58 a.m. |
Created at: March 30, 2026, 6:37 p.m.