Triple
T22619802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Science and Engineering, Maastricht University |
E558243
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object |
Department of Data Science and Knowledge Engineering
The Department of Data Science and Knowledge Engineering is an academic unit at Maastricht University specializing in research and education in data science, artificial intelligence, and related computational disciplines.
|
E1545767
|
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 Data Science and Knowledge Engineering | Statement: [Faculty of Science and Engineering, Maastricht University, hasDepartment, Department of Data Science and Knowledge Engineering]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Data Science and Knowledge Engineering Context triple: [Faculty of Science and Engineering, Maastricht University, hasDepartment, Department of Data Science and Knowledge Engineering]
-
A.
Department of Data Sciences and Operations
The Department of Data Sciences and Operations is an academic unit at the USC Marshall School of Business that focuses on research and education in data analytics, statistics, information systems, and operations management.
-
B.
Center for Data Engineering
The Center for Data Engineering is a research hub at IIIT Hyderabad focused on advancing data science, big data systems, and machine learning technologies.
-
C.
School of Data and Computer Science
The School of Data and Computer Science is an academic unit of Sun Yat-sen University specializing in education and research in computer science, data science, and related technological fields.
-
D.
School of Data Science
The School of Data Science is an academic unit at the University of Texas at San Antonio focused on education and research in data science, analytics, and related computational fields.
-
E.
School of Data Science
The School of Data Science is an academic unit of Yokohama City University specializing in education and research in data analysis, statistics, and related computational fields.
- 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 Data Science and Knowledge Engineering Triple: [Faculty of Science and Engineering, Maastricht University, hasDepartment, Department of Data Science and Knowledge Engineering]
Generated description
The Department of Data Science and Knowledge Engineering is an academic unit at Maastricht University specializing in research and education in data science, artificial intelligence, and related computational disciplines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Data Science and Knowledge Engineering Target entity description: The Department of Data Science and Knowledge Engineering is an academic unit at Maastricht University specializing in research and education in data science, artificial intelligence, and related computational disciplines.
-
A.
Department of Data Sciences and Operations
The Department of Data Sciences and Operations is an academic unit at the USC Marshall School of Business that focuses on research and education in data analytics, statistics, information systems, and operations management.
-
B.
Center for Data Engineering
The Center for Data Engineering is a research hub at IIIT Hyderabad focused on advancing data science, big data systems, and machine learning technologies.
-
C.
School of Data and Computer Science
The School of Data and Computer Science is an academic unit of Sun Yat-sen University specializing in education and research in computer science, data science, and related technological fields.
-
D.
School of Data Science
The School of Data Science is an academic unit at the University of Texas at San Antonio focused on education and research in data science, analytics, and related computational fields.
-
E.
School of Data Science
The School of Data Science is an academic unit of Yokohama City University specializing in education and research in data analysis, statistics, and related computational fields.
- 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_69e24545a8e08190bfa7482a2c725ff1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f16e383b048190a432c540185916d0 |
completed | April 29, 2026, 2:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b4e037bf8819087bc71af425e794b |
completed | May 18, 2026, 5:36 p.m. |
| NEDg | Description generation | batch_6a0b4f5425d88190b986e5fd657beca7 |
completed | May 18, 2026, 5:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b502d7148819081b635e9ef3be1d1 |
completed | May 18, 2026, 5:45 p.m. |
Created at: April 17, 2026, 3 p.m.