Triple
T15557656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | College of Engineering (University of Delaware) |
E370911
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object |
Department of Materials Science and Engineering (University of Delaware)
The Department of Materials Science and Engineering at the University of Delaware is an academic unit focused on research and education in the design, characterization, and application of advanced materials.
|
E1164105
|
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 Materials Science and Engineering (University of Delaware) | Statement: [College of Engineering (University of Delaware), hasDepartment, Department of Materials Science and Engineering (University of Delaware)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Materials Science and Engineering (University of Delaware) Context triple: [College of Engineering (University of Delaware), hasDepartment, Department of Materials Science and Engineering (University of Delaware)]
-
A.
Department of Materials Science and Engineering (University of Michigan)
The Department of Materials Science and Engineering at the University of Michigan is an academic department focused on research and education in the properties, design, and applications of materials for engineering and technology.
-
B.
Department of Materials Science and Engineering (Carnegie Mellon University)
The Department of Materials Science and Engineering at Carnegie Mellon University is an academic unit specializing in the study, research, and education of materials and their applications in engineering and technology.
-
C.
Department of Materials Science and Engineering
The Department of Materials Science and Engineering is an academic unit focused on studying and developing materials and their properties for engineering and technological applications.
-
D.
Department of Materials Science and Engineering (University of Utah)
The Department of Materials Science and Engineering at the University of Utah is an academic unit that focuses on the study, research, and education of materials and their properties, processing, and applications in engineering and technology.
-
E.
School of Materials Science and Engineering
The School of Materials Science and Engineering is an academic unit specializing in materials research and education within Northeastern University in China.
- 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 Materials Science and Engineering (University of Delaware) Triple: [College of Engineering (University of Delaware), hasDepartment, Department of Materials Science and Engineering (University of Delaware)]
Generated description
The Department of Materials Science and Engineering at the University of Delaware is an academic unit focused on research and education in the design, characterization, and application of advanced materials.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Materials Science and Engineering (University of Delaware) Target entity description: The Department of Materials Science and Engineering at the University of Delaware is an academic unit focused on research and education in the design, characterization, and application of advanced materials.
-
A.
Department of Materials Science and Engineering (University of Michigan)
The Department of Materials Science and Engineering at the University of Michigan is an academic department focused on research and education in the properties, design, and applications of materials for engineering and technology.
-
B.
Department of Materials Science and Engineering (Carnegie Mellon University)
The Department of Materials Science and Engineering at Carnegie Mellon University is an academic unit specializing in the study, research, and education of materials and their applications in engineering and technology.
-
C.
Department of Materials Science and Engineering
The Department of Materials Science and Engineering is an academic unit focused on studying and developing materials and their properties for engineering and technological applications.
-
D.
Department of Materials Science and Engineering (University of Utah)
The Department of Materials Science and Engineering at the University of Utah is an academic unit that focuses on the study, research, and education of materials and their properties, processing, and applications in engineering and technology.
-
E.
School of Materials Science and Engineering
The School of Materials Science and Engineering is an academic unit specializing in materials research and education within Northeastern University in China.
- 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_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04dda3ab88190ab383333ce69fe8f |
completed | April 16, 2026, 2:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff456427988190bddea01f5cb159d9 |
completed | May 9, 2026, 2:32 p.m. |
| NEDg | Description generation | batch_69ff470492f48190852ede832157ed10 |
completed | May 9, 2026, 2:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff47e5647c81909b785a1212c4bc50 |
completed | May 9, 2026, 2:42 p.m. |
Created at: April 10, 2026, 4:09 a.m.