Triple
T11210453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thierry Coquand |
E265289
|
entity |
| Predicate | affiliation |
P10
|
FINISHED |
| Object |
Department of Computer Science and Engineering, University of Gothenburg
The Department of Computer Science and Engineering at the University of Gothenburg is an academic unit in Sweden that conducts research and offers education in areas such as software engineering, algorithms, programming languages, and related computing disciplines.
|
E912434
|
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, University of Gothenburg | Statement: [Thierry Coquand, affiliation, Department of Computer Science and Engineering, University of Gothenburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Computer Science and Engineering, University of Gothenburg Context triple: [Thierry Coquand, affiliation, Department of Computer Science and Engineering, University of Gothenburg]
-
A.
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.
-
B.
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.
-
C.
Department of Computer Science and Engineering (University of Minnesota)
The Department of Computer Science and Engineering at the University of Minnesota is a major academic unit known for its research and education in computer science, software engineering, and related technologies.
-
D.
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.
-
E.
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.
- 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, University of Gothenburg Triple: [Thierry Coquand, affiliation, Department of Computer Science and Engineering, University of Gothenburg]
Generated description
The Department of Computer Science and Engineering at the University of Gothenburg is an academic unit in Sweden that conducts research and offers education in areas such as software engineering, algorithms, programming languages, and related computing disciplines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Computer Science and Engineering, University of Gothenburg Target entity description: The Department of Computer Science and Engineering at the University of Gothenburg is an academic unit in Sweden that conducts research and offers education in areas such as software engineering, algorithms, programming languages, and related computing disciplines.
-
A.
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.
-
B.
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.
-
C.
Department of Computer Science and Engineering (University of Minnesota)
The Department of Computer Science and Engineering at the University of Minnesota is a major academic unit known for its research and education in computer science, software engineering, and related technologies.
-
D.
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.
-
E.
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.
- 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_69e4ad135154819091026334d25cd287 |
completed | April 19, 2026, 10:23 a.m. |
| NEDg | Description generation | batch_69e4b12c04e48190ad7546d556a5109f |
completed | April 19, 2026, 10:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4b2949c7c8190820b7f1f87e00602 |
completed | April 19, 2026, 10:46 a.m. |
Created at: April 8, 2026, 9:30 p.m.