Triple
T7863674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Luxembourg |
E182561
|
entity |
| Predicate | hasFaculty |
P141
|
FINISHED |
| Object |
Faculty of Science, Technology and Medicine
The Faculty of Science, Technology and Medicine is the University of Luxembourg’s academic division responsible for education and research in the natural sciences, engineering, technology, and medical fields.
|
E697681
|
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: Faculty of Science, Technology and Medicine | Statement: [University of Luxembourg, hasFaculty, Faculty of Science, Technology and Medicine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Faculty of Science, Technology and Medicine Context triple: [University of Luxembourg, hasFaculty, Faculty of Science, Technology and Medicine]
-
A.
Faculty of Science, Engineering and Medicine
The Faculty of Science, Engineering and Medicine is a major academic division of the University of Warwick that brings together disciplines across the natural sciences, engineering, technology, and health-related fields for teaching and research.
-
B.
Faculty of Science and Medicine
The Faculty of Science and Medicine is a division of the University of Fribourg that offers education and research programs in the natural sciences and medical fields.
-
C.
Faculty of Science and Technology
The Faculty of Science and Technology is an academic division of Al-Quds University offering undergraduate and graduate programs in scientific and technological disciplines.
-
D.
Faculty of Science and Technology
The Faculty of Science and Technology is an academic division of Midlands State University that offers science- and technology-focused programs and conducts related research.
-
E.
Faculty of Science and Technology
The Faculty of Science and Technology is an academic division of Cheikh Anta Diop University dedicated to education and research in the natural sciences, mathematics, engineering, and related technological 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: Faculty of Science, Technology and Medicine Triple: [University of Luxembourg, hasFaculty, Faculty of Science, Technology and Medicine]
Generated description
The Faculty of Science, Technology and Medicine is the University of Luxembourg’s academic division responsible for education and research in the natural sciences, engineering, technology, and medical fields.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Faculty of Science, Technology and Medicine Target entity description: The Faculty of Science, Technology and Medicine is the University of Luxembourg’s academic division responsible for education and research in the natural sciences, engineering, technology, and medical fields.
-
A.
Faculty of Science, Engineering and Medicine
The Faculty of Science, Engineering and Medicine is a major academic division of the University of Warwick that brings together disciplines across the natural sciences, engineering, technology, and health-related fields for teaching and research.
-
B.
Faculty of Science and Medicine
The Faculty of Science and Medicine is a division of the University of Fribourg that offers education and research programs in the natural sciences and medical fields.
-
C.
Faculty of Science and Technology
The Faculty of Science and Technology is a major academic division of the University of Tartu that focuses on education and research in the natural sciences, engineering, and related technological fields.
-
D.
Faculty of Science and Technology
The Faculty of Science and Technology is an academic division of Midlands State University that offers science- and technology-focused programs and conducts related research.
-
E.
Faculty of Science and Technology
The Faculty of Science and Technology is an academic unit of the University of Silesia in Katowice that focuses on education and research in the natural sciences, mathematics, and related technological 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_69ca82887fd48190975896bf38c4596b |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb36bfd8a4819093c2ef6d47891a68 |
completed | March 31, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5b49a7288190ae6758647fb35ac9 |
completed | March 31, 2026, 5:27 a.m. |
| NEDg | Description generation | batch_69cb5f1daac88190a162132bbd40fdc6 |
completed | March 31, 2026, 5:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cb768ac1a48190bc6a59a64adf7144 |
completed | March 31, 2026, 7:23 a.m. |
Created at: March 30, 2026, 4:54 p.m.