Triple
T8308178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Engineering, Imperial College London |
E194516
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object |
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.
|
E726963
|
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 Earth Science and Engineering, Imperial College London | Statement: [Faculty of Engineering, Imperial College London, hasDepartment, Department of Earth Science and Engineering, Imperial College London]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Earth Science and Engineering, Imperial College London Context triple: [Faculty of Engineering, Imperial College London, hasDepartment, Department of Earth Science and Engineering, Imperial College London]
-
A.
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.
-
B.
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.
-
C.
Department of Earth Sciences
The Department of Earth Sciences is an academic unit focused on studying the structure, processes, and history of the Earth, typically encompassing fields such as geology, geophysics, and geochemistry.
-
D.
Department of Earth Sciences
The Department of Earth Sciences is an academic unit at the Free University of Berlin specializing in research and education on the Earth's structure, processes, and history.
-
E.
Department of Earth Sciences
The Department of Earth Sciences is a specialized research and academic division within the Azerbaijan National Academy of Sciences focused on studying the planet’s geological, geophysical, and related natural processes.
- 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 Earth Science and Engineering, Imperial College London Triple: [Faculty of Engineering, Imperial College London, hasDepartment, Department of Earth Science and Engineering, Imperial College London]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Earth Science and Engineering, Imperial College London Target entity description: 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.
-
A.
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.
-
B.
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.
-
C.
Department of Earth Sciences
The Department of Earth Sciences is an academic unit at the Free University of Berlin specializing in research and education on the Earth's structure, processes, and history.
-
D.
Department of Earth Sciences
The Department of Earth Sciences at Royal Holloway, University of London is an academic department focused on teaching and research in geology, geophysics, and related Earth and environmental sciences.
-
E.
Department of Earth Sciences
The Department of Earth Sciences is a specialized research and academic division within the Azerbaijan National Academy of Sciences focused on studying the planet’s geological, geophysical, and related natural processes.
- 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_69ca82e613e88190bf8139669bbd0d53 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f2c06608190bd21633af07a530b |
completed | March 31, 2026, 8 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd955bd69081909d669139c576efb8 |
completed | April 1, 2026, 9:59 p.m. |
| NEDg | Description generation | batch_69cdb20cc18081908269516e49ce0fd3 |
completed | April 2, 2026, 12:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cdb44ff9a88190bbcb4a56f9b44dc1 |
completed | April 2, 2026, 12:12 a.m. |
Created at: March 30, 2026, 5:54 p.m.