Triple
T22619803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Science and Engineering, Maastricht University |
E558243
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object | Department of Biobased Materials |
—
|
NE NERFINISHED |
How this triple was built (3 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 Biobased Materials | Statement: [Faculty of Science and Engineering, Maastricht University, hasDepartment, Department of Biobased Materials]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Biobased Materials Context triple: [Faculty of Science and Engineering, Maastricht University, hasDepartment, Department of Biobased Materials]
-
A.
Department of Forest Biomaterials
The Department of Forest Biomaterials is an academic unit focused on the science, engineering, and sustainable use of wood, paper, and other renewable forest-based materials.
-
B.
Department of Materials
The Department of Materials is an academic unit specializing in materials science and engineering within the Faculty of Nuclear Sciences and Physical Engineering.
-
C.
Department of Materials
The Department of Materials is a leading Oxford University academic department specializing in research and teaching across materials science and engineering.
-
D.
Department of Polymer Engineering
The Department of Polymer Engineering is an academic unit at the University of Minho specializing in education and research on polymer materials, processing, and related technologies.
-
E.
Department of Biomaterials and Bioengineering
The Department of Biomaterials and Bioengineering is an academic division within Kyushu University’s Faculty of Dentistry that focuses on the research and development of advanced materials and engineering approaches for dental and biomedical applications.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Biobased Materials Target entity description: The Department of Biobased Materials is an academic unit at Maastricht University focused on research and education in sustainable, bio-derived materials and related technologies.
-
A.
Department of Forest Biomaterials
The Department of Forest Biomaterials is an academic unit focused on the science, engineering, and sustainable use of wood, paper, and other renewable forest-based materials.
-
B.
Department of Materials
The Department of Materials is an academic unit specializing in materials science and engineering within the Faculty of Nuclear Sciences and Physical Engineering.
-
C.
Department of Materials
The Department of Materials is a leading Oxford University academic department specializing in research and teaching across materials science and engineering.
-
D.
Department of Polymer Engineering
The Department of Polymer Engineering is an academic unit at the University of Minho specializing in education and research on polymer materials, processing, and related technologies.
-
E.
Department of Biomaterials and Bioengineering
The Department of Biomaterials and Bioengineering is an academic division within Kyushu University’s Faculty of Dentistry that focuses on the research and development of advanced materials and engineering approaches for dental and biomedical applications.
- F. None of above. chosen
Provenance (2 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_69e24545a8e08190bfa7482a2c725ff1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f16e383b048190a432c540185916d0 |
completed | April 29, 2026, 2:34 a.m. |
Created at: April 17, 2026, 3 p.m.