Triple
T11210452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thierry Coquand |
E265289
|
entity |
| Predicate | affiliation |
P10
|
FINISHED |
| Object |
Department of Computer Science and Engineering, Chalmers University of Technology
The Department of Computer Science and Engineering at Chalmers University of Technology is a leading Swedish academic department known for research and education in areas such as programming languages, formal methods, algorithms, and software engineering.
|
E911974
|
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 Computer Science and Engineering, Chalmers University of Technology | Statement: [Thierry Coquand, affiliation, Department of Computer Science and Engineering, Chalmers University of Technology]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Computer Science and Engineering, Chalmers University of Technology Context triple: [Thierry Coquand, affiliation, Department of Computer Science and Engineering, Chalmers University of Technology]
-
A.
Department of Computer Science, Lund University
The Department of Computer Science at Lund University is a leading Swedish academic unit known for research and education in areas such as algorithms, software engineering, artificial intelligence, and distributed systems.
-
B.
Department of Computer Science and Engineering
The Department of Computer Science and Engineering is an academic unit of Dibrugarh University that offers education and research programs in computing, software, and related engineering disciplines.
-
C.
Department of Computer Science and Engineering
The Department of Computer Science and Engineering at IIT Madras is a leading Indian academic and research unit specializing in computer science, engineering education, and cutting-edge technological innovation.
-
D.
Department of Computer Science and Engineering
The Department of Computer Science and Engineering is an academic unit specializing in computer science and related engineering disciplines, offering undergraduate and postgraduate programs, research opportunities, and technical training in computing fields.
-
E.
Department of Computer Science and Engineering
The Department of Computer Science and Engineering at Rajshahi University of Engineering & Technology is an academic unit focused on education and research in computing, software, and information technologies.
- 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 Computer Science and Engineering, Chalmers University of Technology Triple: [Thierry Coquand, affiliation, Department of Computer Science and Engineering, Chalmers University of Technology]
Generated description
The Department of Computer Science and Engineering at Chalmers University of Technology is a leading Swedish academic department known for research and education in areas such as programming languages, formal methods, algorithms, and software engineering.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Computer Science and Engineering, Chalmers University of Technology Target entity description: The Department of Computer Science and Engineering at Chalmers University of Technology is a leading Swedish academic department known for research and education in areas such as programming languages, formal methods, algorithms, and software engineering.
-
A.
Department of Computer Science, Lund University
The Department of Computer Science at Lund University is a leading Swedish academic unit known for research and education in areas such as algorithms, software engineering, artificial intelligence, and distributed systems.
-
B.
Department of Computer Science and Engineering
The Department of Computer Science and Engineering is an academic unit of Dibrugarh University that offers education and research programs in computing, software, and related engineering disciplines.
-
C.
Department of Computer Science and Engineering
The Department of Computer Science and Engineering is an academic unit specializing in computer science and related engineering disciplines, offering undergraduate and postgraduate programs, research opportunities, and technical training in computing fields.
-
D.
Department of Computer Science and Engineering
The Department of Computer Science and Engineering at IIT Kanpur is a leading Indian academic department known for its strong undergraduate and graduate programs, cutting-edge research, and significant contributions to computer science and technology.
-
E.
Department of Computer Science and Engineering
The Department of Computer Science and Engineering is an academic unit at PSG College of Technology focused on education and research in computing, software, and information technologies.
- 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_69d6aac59460819089b9848b27f57848 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8d6f5d4819086dcb776a0d469e8 |
completed | April 9, 2026, 5:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e49747ec288190bc3e826b6de7f6f2 |
completed | April 19, 2026, 8:50 a.m. |
| NEDg | Description generation | batch_69e49c0a92b08190ac5debb7d67ca776 |
completed | April 19, 2026, 9:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e49e8dc4ec81908d0defe77827d197 |
completed | April 19, 2026, 9:21 a.m. |
Created at: April 8, 2026, 9:30 p.m.