Triple
T4099063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Engineering, University of Sheffield |
E87893
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Department of Civil and Structural Engineering, University of Sheffield
The Department of Civil and Structural Engineering at the University of Sheffield is a leading UK academic department specializing in research and education in civil, structural, and environmental engineering.
|
E412747
|
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 and Structural Engineering, University of Sheffield | Statement: [Faculty of Engineering, University of Sheffield, hasPart, Department of Civil and Structural Engineering, University of Sheffield]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Civil and Structural Engineering, University of Sheffield Context triple: [Faculty of Engineering, University of Sheffield, hasPart, Department of Civil and Structural Engineering, University of Sheffield]
-
A.
School of Civil and Environmental Engineering
The School of Civil and Environmental Engineering is an academic unit of Nanyang Technological University specializing in education and research on infrastructure, sustainable development, and environmental systems.
-
B.
Department of Civil and Environmental Engineering
The Department of Civil and Environmental Engineering is an academic unit at Rice University's George R. Brown School of Engineering that focuses on education and research in infrastructure, environmental systems, and sustainable engineering.
-
C.
Department of Civil and Environmental Engineering
The Department of Civil and Environmental Engineering at UC Berkeley is a leading academic department focused on advancing infrastructure, environmental sustainability, and resilient systems through education and research.
-
D.
Department of Civil and Environmental Engineering
The Department of Civil and Environmental Engineering is an academic unit that educates engineers and conducts research in areas such as infrastructure, transportation, water resources, and environmental protection within the A. James Clark School of Engineering.
-
E.
Department of Civil and Environmental Engineering
The Department of Civil and Environmental Engineering is an academic unit that educates students and conducts research in areas such as infrastructure design, construction, and environmental protection within the Maseeh College of Engineering and Computer Science.
- 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 and Structural Engineering, University of Sheffield Triple: [Faculty of Engineering, University of Sheffield, hasPart, Department of Civil and Structural Engineering, University of Sheffield]
Generated description
The Department of Civil and Structural Engineering at the University of Sheffield is a leading UK academic department specializing in research and education in civil, structural, and environmental engineering.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Civil and Structural Engineering, University of Sheffield Target entity description: The Department of Civil and Structural Engineering at the University of Sheffield is a leading UK academic department specializing in research and education in civil, structural, and environmental engineering.
-
A.
School of Civil and Environmental Engineering
The School of Civil and Environmental Engineering is an academic unit of Nanyang Technological University specializing in education and research on infrastructure, sustainable development, and environmental systems.
-
B.
Department of Civil and Environmental Engineering
The Department of Civil and Environmental Engineering at UC Berkeley is a leading academic department focused on advancing infrastructure, environmental sustainability, and resilient systems through education and research.
-
C.
Department of Civil and Environmental Engineering
The Department of Civil and Environmental Engineering is an academic unit that educates engineers and conducts research in areas such as infrastructure, transportation, water resources, and environmental protection within the A. James Clark School of Engineering.
-
D.
Department of Civil and Environmental Engineering
The Department of Civil and Environmental Engineering is an academic unit at Rice University's George R. Brown School of Engineering that focuses on education and research in infrastructure, environmental systems, and sustainable engineering.
-
E.
Department of Civil and Environmental Engineering
The Department of Civil and Environmental Engineering is an academic unit specializing in infrastructure, environmental systems, and related engineering disciplines within the Grainger College of Engineering at the University of Illinois Urbana-Champaign.
- 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_69aed94564cc8190a9c1457daedb6e7f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefd0bdea48190805a79515ee92709 |
completed | March 9, 2026, 5:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b56b7585bc81909dc2c02e60a55def |
completed | March 14, 2026, 2:06 p.m. |
| NEDg | Description generation | batch_69b56c3a4b708190a55027fd3b2b76e0 |
completed | March 14, 2026, 2:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b56cc5c704819083dac59bf7b3cb83 |
completed | March 14, 2026, 2:12 p.m. |
Created at: March 9, 2026, 3:40 p.m.