Triple
T512618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lancaster University |
E10638
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object |
Department of Linguistics and English Language, Lancaster University
The Department of Linguistics and English Language at Lancaster University is a leading UK academic unit renowned for its research and teaching in linguistics, English language, and related language sciences.
|
E10638
|
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 Linguistics and English Language, Lancaster University | Statement: [Lancaster University, hasDepartment, Department of Linguistics and English Language, Lancaster University]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Linguistics and English Language, Lancaster University Context triple: [Lancaster University, hasDepartment, Department of Linguistics and English Language, Lancaster University]
-
A.
Faculty of Modern and Medieval Languages and Linguistics, University of Cambridge
The Faculty of Modern and Medieval Languages and Linguistics at the University of Cambridge is a leading academic division specializing in the study and research of European and global languages, their literatures, cultures, and linguistic structures.
-
B.
School of Arts, Languages and Cultures
The School of Arts, Languages and Cultures is an academic division of the University of Manchester that focuses on disciplines in the humanities, including the study of languages, literature, history, culture, and related arts.
-
C.
Lancaster University
Lancaster University is a public research university in Lancashire, England, known for its strong research output, collegiate system, and consistently high rankings in UK and global league tables.
-
D.
Faculty of Foreign Languages
The Faculty of Foreign Languages is a specialized academic division of the University of Havana dedicated to the study and teaching of multiple foreign languages and related linguistic and cultural disciplines.
-
E.
College of Arts, Social Sciences and Humanities
The College of Arts, Social Sciences and Humanities is an academic division of North Carolina Central University that offers programs in the liberal arts, social sciences, and humanities 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 Linguistics and English Language, Lancaster University Triple: [Lancaster University, hasDepartment, Department of Linguistics and English Language, Lancaster University]
Generated description
The Department of Linguistics and English Language at Lancaster University is a leading UK academic unit renowned for its research and teaching in linguistics, English language, and related language sciences.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Linguistics and English Language, Lancaster University Target entity description: The Department of Linguistics and English Language at Lancaster University is a leading UK academic unit renowned for its research and teaching in linguistics, English language, and related language sciences.
-
A.
Faculty of Modern and Medieval Languages and Linguistics, University of Cambridge
The Faculty of Modern and Medieval Languages and Linguistics at the University of Cambridge is a leading academic division specializing in the study and research of European and global languages, their literatures, cultures, and linguistic structures.
-
B.
School of Arts, Languages and Cultures
The School of Arts, Languages and Cultures is an academic division of the University of Manchester that focuses on disciplines in the humanities, including the study of languages, literature, history, culture, and related arts.
-
C.
Lancaster University
chosen
Lancaster University is a public research university in Lancashire, England, known for its strong research output, collegiate system, and consistently high rankings in UK and global league tables.
-
D.
Faculty of Foreign Languages
The Faculty of Foreign Languages is a specialized academic division of the University of Havana dedicated to the study and teaching of multiple foreign languages and related linguistic and cultural disciplines.
-
E.
College of Arts, Social Sciences and Humanities
The College of Arts, Social Sciences and Humanities is an academic division of North Carolina Central University that offers programs in the liberal arts, social sciences, and humanities disciplines.
- F. None of above.
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_69a2e84a0d08819087e01863fcd9abf1 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1804e908190a1d34ac952e84a3f |
completed | Feb. 28, 2026, 1:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a49ebe662c8190acdbb8857283f7d1 |
completed | March 1, 2026, 8:17 p.m. |
| NEDg | Description generation | batch_69a49fcbcae88190acc3e9d61658beba |
completed | March 1, 2026, 8:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4a047b8548190ac9ba95983b06036 |
completed | March 1, 2026, 8:23 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.