Triple
T8657800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Science, University of Bristol |
E205465
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
School of Earth Sciences, University of Bristol
The School of Earth Sciences at the University of Bristol is a leading academic department specializing in research and teaching on geology, geophysics, climate, and the processes shaping the Earth and other planets.
|
E748773
|
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: School of Earth Sciences, University of Bristol | Statement: [Faculty of Science, University of Bristol, hasPart, School of Earth Sciences, University of Bristol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: School of Earth Sciences, University of Bristol Context triple: [Faculty of Science, University of Bristol, hasPart, School of Earth Sciences, University of Bristol]
-
A.
School of Geographical Sciences, University of Bristol
The School of Geographical Sciences at the University of Bristol is a leading academic department renowned for its research and teaching in physical and human geography, environmental change, and geospatial science.
-
B.
Department of Earth Sciences, University of Cambridge
The Department of Earth Sciences at the University of Cambridge is a leading academic and research institution focused on geology, geophysics, geochemistry, and related Earth and planetary sciences.
-
C.
School of Biological Sciences, University of Bristol
The School of Biological Sciences at the University of Bristol is a major academic department specializing in research and teaching across the life sciences, including areas such as ecology, evolution, and molecular biology.
-
D.
Department of Earth Science and Engineering, Imperial College London
The Department of Earth Science and Engineering at Imperial College London is a leading academic department specializing in geoscience, engineering geology, and related disciplines, known for its research and teaching on Earth processes, resources, and environmental challenges.
-
E.
School of Earth & Environment
The School of Earth & Environment is an academic division at Rowan University focused on studying the Earth, its systems, and environmental issues through interdisciplinary education and research.
- 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: School of Earth Sciences, University of Bristol Triple: [Faculty of Science, University of Bristol, hasPart, School of Earth Sciences, University of Bristol]
Generated description
The School of Earth Sciences at the University of Bristol is a leading academic department specializing in research and teaching on geology, geophysics, climate, and the processes shaping the Earth and other planets.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: School of Earth Sciences, University of Bristol Target entity description: The School of Earth Sciences at the University of Bristol is a leading academic department specializing in research and teaching on geology, geophysics, climate, and the processes shaping the Earth and other planets.
-
A.
School of Geographical Sciences, University of Bristol
The School of Geographical Sciences at the University of Bristol is a leading academic department renowned for its research and teaching in physical and human geography, environmental change, and geospatial science.
-
B.
Department of Earth Sciences, University of Cambridge
The Department of Earth Sciences at the University of Cambridge is a leading academic and research institution focused on geology, geophysics, geochemistry, and related Earth and planetary sciences.
-
C.
School of Biological Sciences, University of Bristol
The School of Biological Sciences at the University of Bristol is a major academic department specializing in research and teaching across the life sciences, including areas such as ecology, evolution, and molecular biology.
-
D.
Department of Earth Science and Engineering, Imperial College London
The Department of Earth Science and Engineering at Imperial College London is a leading academic department specializing in geoscience, engineering geology, and related disciplines, known for its research and teaching on Earth processes, resources, and environmental challenges.
-
E.
School of Earth & Environment
The School of Earth & Environment is an academic division at Rowan University focused on studying the Earth, its systems, and environmental issues through interdisciplinary education and research.
- 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_69ca8350897c819086cde7596fbe5fe7 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc486d576081908ad28749c7971432 |
completed | March 31, 2026, 10:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ceccec941881908263cd3205f10ccd |
completed | April 2, 2026, 8:09 p.m. |
| NEDg | Description generation | batch_69cece8d530081908f5a52d5d76bd414 |
completed | April 2, 2026, 8:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cecf7c66308190b9fb87bc0ab510a8 |
completed | April 2, 2026, 8:20 p.m. |
Created at: March 30, 2026, 6:30 p.m.