Triple
T18605074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tuscia University |
E454721
|
entity |
| Predicate | hasFaculty |
P141
|
FINISHED |
| Object |
Department of Linguistic, Literary, Historical, Philosophical and Legal Studies
The Department of Linguistic, Literary, Historical, Philosophical and Legal Studies is an interdisciplinary academic unit at Tuscia University that brings together the humanities and legal scholarship in teaching and research.
|
E1332772
|
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 Linguistic, Literary, Historical, Philosophical and Legal Studies | Statement: [Tuscia University, hasFaculty, Department of Linguistic, Literary, Historical, Philosophical and Legal Studies]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Linguistic, Literary, Historical, Philosophical and Legal Studies Context triple: [Tuscia University, hasFaculty, Department of Linguistic, Literary, Historical, Philosophical and Legal Studies]
-
A.
Department of Linguistic and Literary Sciences
The Department of Linguistic and Literary Sciences is a scholarly unit within the Macedonian Academy of Sciences and Arts dedicated to research and advancement in language, linguistics, and literary studies.
-
B.
Department of Language and Literature
The Department of Language and Literature is a scholarly division of the Serbian Academy of Sciences and Arts dedicated to research, preservation, and advancement of Serbian and other languages and their literary traditions.
-
C.
Department of Languages, Literatures & Linguistics
The Department of Languages, Literatures & Linguistics is an academic unit that focuses on the study and teaching of languages, their literary traditions, and the scientific analysis of language structure and use.
-
D.
Department of Legal, Language, Interpreting and Translation Studies
The Department of Legal, Language, Interpreting and Translation Studies is an academic unit specializing in law, linguistics, translation, and interpreting within the University of Trieste.
-
E.
Department of Philology
The Department of Philology is an academic unit at the University of Belgrade’s Faculty of Philosophy dedicated to the study of language, literature, and related linguistic and cultural disciplines.
- 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 Linguistic, Literary, Historical, Philosophical and Legal Studies Triple: [Tuscia University, hasFaculty, Department of Linguistic, Literary, Historical, Philosophical and Legal Studies]
Generated description
The Department of Linguistic, Literary, Historical, Philosophical and Legal Studies is an interdisciplinary academic unit at Tuscia University that brings together the humanities and legal scholarship in teaching and research.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Linguistic, Literary, Historical, Philosophical and Legal Studies Target entity description: The Department of Linguistic, Literary, Historical, Philosophical and Legal Studies is an interdisciplinary academic unit at Tuscia University that brings together the humanities and legal scholarship in teaching and research.
-
A.
Department of Linguistic and Literary Sciences
The Department of Linguistic and Literary Sciences is a scholarly unit within the Macedonian Academy of Sciences and Arts dedicated to research and advancement in language, linguistics, and literary studies.
-
B.
Department of Language and Literature
The Department of Language and Literature is a scholarly division of the Serbian Academy of Sciences and Arts dedicated to research, preservation, and advancement of Serbian and other languages and their literary traditions.
-
C.
Department of Languages, Literatures & Linguistics
The Department of Languages, Literatures & Linguistics is an academic unit that focuses on the study and teaching of languages, their literary traditions, and the scientific analysis of language structure and use.
-
D.
Department of Legal, Language, Interpreting and Translation Studies
The Department of Legal, Language, Interpreting and Translation Studies is an academic unit specializing in law, linguistics, translation, and interpreting within the University of Trieste.
-
E.
Department of Philology
The Department of Philology is an academic unit at the University of Belgrade’s Faculty of Philosophy dedicated to the study of language, literature, and related linguistic and cultural disciplines.
- 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_69d8d38bbe7c8190bdec3138e7d413c9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e547535b8c8190ab5a8a92f15f2bcb |
completed | April 19, 2026, 9:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05038573588190a825b00e3f210c3f |
completed | May 13, 2026, 11:04 p.m. |
| NEDg | Description generation | batch_6a05044722c88190bdeac36b602673e9 |
completed | May 13, 2026, 11:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0504deb488819086f3146141b3fb45 |
completed | May 13, 2026, 11:10 p.m. |
Created at: April 10, 2026, 11:45 a.m.