Triple
T5448547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ca' Foscari University of Venice |
E122309
|
entity |
| Predicate | hasFaculty |
P141
|
FINISHED |
| Object |
Department of Environmental Sciences, Informatics and Statistics
The Department of Environmental Sciences, Informatics and Statistics is an academic unit at Ca' Foscari University of Venice that focuses on interdisciplinary research and education in environmental studies, data science, and statistical methods.
|
E520453
|
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 Environmental Sciences, Informatics and Statistics | Statement: [Ca' Foscari University of Venice, hasFaculty, Department of Environmental Sciences, Informatics and Statistics]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Environmental Sciences, Informatics and Statistics Context triple: [Ca' Foscari University of Venice, hasFaculty, Department of Environmental Sciences, Informatics and Statistics]
-
A.
Department of Environmental Science
The Department of Environmental Science is an academic unit at Savitribai Phule Pune University dedicated to teaching and research on environmental systems, sustainability, and ecological conservation.
-
B.
Department of Environmental Geosciences
The Department of Environmental Geosciences is an academic unit focused on studying the Earth’s environment, including natural processes, resources, and human impacts, within the broader fields of earth sciences, geography, and astronomy.
-
C.
Department of Information Systems, Statistics, and Management Science
The Department of Information Systems, Statistics, and Management Science is an academic unit within the Culverhouse College of Business that focuses on data-driven decision-making, analytics, and information technologies in business contexts.
-
D.
Department of Natural Environmental Studies
The Department of Natural Environmental Studies is an academic unit focused on researching and teaching the scientific principles, dynamics, and conservation of natural environments and ecosystems.
-
E.
Department of Ecosystem Studies
The Department of Ecosystem Studies is an academic unit at the University of Tokyo’s Faculty of Agriculture focused on researching and teaching the structure, function, and conservation of ecosystems and biodiversity.
- 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 Environmental Sciences, Informatics and Statistics Triple: [Ca' Foscari University of Venice, hasFaculty, Department of Environmental Sciences, Informatics and Statistics]
Generated description
The Department of Environmental Sciences, Informatics and Statistics is an academic unit at Ca' Foscari University of Venice that focuses on interdisciplinary research and education in environmental studies, data science, and statistical methods.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Environmental Sciences, Informatics and Statistics Target entity description: The Department of Environmental Sciences, Informatics and Statistics is an academic unit at Ca' Foscari University of Venice that focuses on interdisciplinary research and education in environmental studies, data science, and statistical methods.
-
A.
Department of Environmental Science
The Department of Environmental Science is an academic unit at Savitribai Phule Pune University dedicated to teaching and research on environmental systems, sustainability, and ecological conservation.
-
B.
Department of Environmental Geosciences
The Department of Environmental Geosciences is an academic unit focused on studying the Earth’s environment, including natural processes, resources, and human impacts, within the broader fields of earth sciences, geography, and astronomy.
-
C.
Department of Information Systems, Statistics, and Management Science
The Department of Information Systems, Statistics, and Management Science is an academic unit within the Culverhouse College of Business that focuses on data-driven decision-making, analytics, and information technologies in business contexts.
-
D.
Department of Natural Environmental Studies
The Department of Natural Environmental Studies is an academic unit focused on researching and teaching the scientific principles, dynamics, and conservation of natural environments and ecosystems.
-
E.
Department of Ecosystem Studies
The Department of Ecosystem Studies is an academic unit at the University of Tokyo’s Faculty of Agriculture focused on researching and teaching the structure, function, and conservation of ecosystems and biodiversity.
- 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_69bd4640f52c81909e653ec361f66d76 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd91dbfd948190977513cf274af417 |
completed | March 20, 2026, 6:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf4137ecf881908f3f036457b59281 |
completed | March 22, 2026, 1:09 a.m. |
| NEDg | Description generation | batch_69bf4207393c819089b4fc6691a2d076 |
completed | March 22, 2026, 1:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf427e2bd08190b7664922d26e16d2 |
completed | March 22, 2026, 1:14 a.m. |
Created at: March 20, 2026, 2:07 p.m.