Triple
T7717106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Social and Historical Sciences |
E174912
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
UCL Department of Science and Technology Studies
The UCL Department of Science and Technology Studies is an academic department at University College London that focuses on the interdisciplinary study of science, technology, and medicine in their historical, social, and policy contexts.
|
E684871
|
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: UCL Department of Science and Technology Studies | Statement: [Faculty of Social and Historical Sciences, hasPart, UCL Department of Science and Technology Studies]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UCL Department of Science and Technology Studies Context triple: [Faculty of Social and Historical Sciences, hasPart, UCL Department of Science and Technology Studies]
-
A.
Department of Science, Technology and Society (York University)
The Department of Science, Technology and Society at York University is an academic unit that examines the social, cultural, political and ethical dimensions of science and technology through interdisciplinary teaching and research.
-
B.
STS (science and technology studies)
STS (science and technology studies) is an interdisciplinary field that critically examines how scientific knowledge and technological systems are shaped by, and in turn shape, social, cultural, political, and historical contexts.
-
C.
Faculty of Science and Technology, Lancaster University
The Faculty of Science and Technology at Lancaster University is an academic division encompassing a range of science, engineering, and technology departments, supporting research and teaching across these disciplines.
-
D.
UCL Institute for Sustainable Resources
The UCL Institute for Sustainable Resources is a research institute at University College London focused on advancing sustainable use of global resources through interdisciplinary research, policy analysis, and education.
-
E.
Oxford Martin School
The Oxford Martin School is a multidisciplinary research institute at the University of Oxford focused on tackling global challenges and shaping the future through long-term, cross-cutting scholarship.
- 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: UCL Department of Science and Technology Studies Triple: [Faculty of Social and Historical Sciences, hasPart, UCL Department of Science and Technology Studies]
Generated description
The UCL Department of Science and Technology Studies is an academic department at University College London that focuses on the interdisciplinary study of science, technology, and medicine in their historical, social, and policy contexts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: UCL Department of Science and Technology Studies Target entity description: The UCL Department of Science and Technology Studies is an academic department at University College London that focuses on the interdisciplinary study of science, technology, and medicine in their historical, social, and policy contexts.
-
A.
Department of Science, Technology and Society (York University)
The Department of Science, Technology and Society at York University is an academic unit that examines the social, cultural, political and ethical dimensions of science and technology through interdisciplinary teaching and research.
-
B.
STS (science and technology studies)
STS (science and technology studies) is an interdisciplinary field that critically examines how scientific knowledge and technological systems are shaped by, and in turn shape, social, cultural, political, and historical contexts.
-
C.
Faculty of Science and Technology, Lancaster University
The Faculty of Science and Technology at Lancaster University is an academic division encompassing a range of science, engineering, and technology departments, supporting research and teaching across these disciplines.
-
D.
UCL Institute for Sustainable Resources
The UCL Institute for Sustainable Resources is a research institute at University College London focused on advancing sustainable use of global resources through interdisciplinary research, policy analysis, and education.
-
E.
Oxford Martin School
The Oxford Martin School is a multidisciplinary research institute at the University of Oxford focused on tackling global challenges and shaping the future through long-term, cross-cutting scholarship.
- 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_69c6995c463c8190a14458036249d419 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702cd0ddc8190aa23d998f55d0bd6 |
completed | March 27, 2026, 10:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8b50cf3208190af9bb2d4126d381b |
completed | March 29, 2026, 5:13 a.m. |
| NEDg | Description generation | batch_69c8b7d8b4b081908f8739a91e96e6ec |
completed | March 29, 2026, 5:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8b845194c8190b65257cc02b09e6c |
completed | March 29, 2026, 5:27 a.m. |
Created at: March 27, 2026, 4:05 p.m.