Triple
T17173333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Sheffield Arts Tower |
E416791
|
entity |
| Predicate | houses |
P1643
|
FINISHED |
| Object |
Department of Landscape Architecture, University of Sheffield
The Department of Landscape Architecture at the University of Sheffield is a leading academic unit specializing in landscape design, planning, and management, recognized internationally for its research and professional training in the field.
|
E1253380
|
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 Landscape Architecture, University of Sheffield | Statement: [University of Sheffield Arts Tower, houses, Department of Landscape Architecture, University of Sheffield]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Landscape Architecture, University of Sheffield Context triple: [University of Sheffield Arts Tower, houses, Department of Landscape Architecture, University of Sheffield]
-
A.
School of Architecture, University of Sheffield
The School of Architecture at the University of Sheffield is a leading UK architecture school known for its strong emphasis on socially engaged design, sustainability, and innovative architectural education and research.
-
B.
Department of Landscape Architecture, University of Illinois at Urbana-Champaign
The Department of Landscape Architecture at the University of Illinois at Urbana-Champaign is an academic unit that offers education and research programs in landscape design, planning, and environmental stewardship.
-
C.
Department of Landscape Architecture
The Department of Landscape Architecture is an academic unit at Cornell University specializing in the study and design of outdoor environments, integrating ecology, planning, and visual design.
-
D.
Department of Landscape Architecture
The Department of Landscape Architecture is an academic unit at the School of Planning and Architecture, Delhi, focused on education and research in the planning, design, and management of outdoor and environmental spaces.
-
E.
Department of Landscape Architecture
The Department of Landscape Architecture is an academic unit at the University of Manitoba that focuses on the study and design of outdoor environments, integrating ecological, cultural, and aesthetic considerations.
- 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 Landscape Architecture, University of Sheffield Triple: [University of Sheffield Arts Tower, houses, Department of Landscape Architecture, University of Sheffield]
Generated description
The Department of Landscape Architecture at the University of Sheffield is a leading academic unit specializing in landscape design, planning, and management, recognized internationally for its research and professional training in the field.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Landscape Architecture, University of Sheffield Target entity description: The Department of Landscape Architecture at the University of Sheffield is a leading academic unit specializing in landscape design, planning, and management, recognized internationally for its research and professional training in the field.
-
A.
School of Architecture, University of Sheffield
The School of Architecture at the University of Sheffield is a leading UK architecture school known for its strong emphasis on socially engaged design, sustainability, and innovative architectural education and research.
-
B.
Department of Landscape Architecture, University of Illinois at Urbana-Champaign
The Department of Landscape Architecture at the University of Illinois at Urbana-Champaign is an academic unit that offers education and research programs in landscape design, planning, and environmental stewardship.
-
C.
Department of Landscape Architecture
The Department of Landscape Architecture at Harvard Graduate School of Design is a leading academic unit dedicated to the study and design of landscapes, urban environments, and ecological systems.
-
D.
Department of Landscape Architecture
The Department of Landscape Architecture is an academic unit that focuses on the design, planning, and stewardship of outdoor spaces and environments.
-
E.
Department of Landscape Architecture
The Department of Landscape Architecture is an academic unit at Cornell University specializing in the study and design of outdoor environments, integrating ecology, planning, and visual design.
- 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_69d886d5f34c8190b24564dfaa63f3fb |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3fc0b7c9c819082e503cb493d7e7b |
completed | April 18, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0148415c788190a4248b097f323d03 |
completed | May 11, 2026, 3:08 a.m. |
| NEDg | Description generation | batch_6a0148efb45081908734c785d8fb833a |
completed | May 11, 2026, 3:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01495631588190a0670ca71dee7b36 |
completed | May 11, 2026, 3:13 a.m. |
Created at: April 10, 2026, 5:37 a.m.