Triple
T4993029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | College of Science and Engineering, University of Edinburgh |
E112176
|
entity |
| Predicate | hasSchool |
P113
|
FINISHED |
| Object |
School of GeoSciences, University of Edinburgh
The School of GeoSciences at the University of Edinburgh is a leading academic department specializing in research and teaching on Earth systems, environment, climate, and human–environment interactions.
|
E484300
|
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 GeoSciences, University of Edinburgh | Statement: [College of Science and Engineering, University of Edinburgh, hasSchool, School of GeoSciences, University of Edinburgh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: School of GeoSciences, University of Edinburgh Context triple: [College of Science and Engineering, University of Edinburgh, hasSchool, School of GeoSciences, University of Edinburgh]
-
A.
College of Science and Engineering, University of Glasgow
The College of Science and Engineering at the University of Glasgow is a major academic division offering research-led education and innovation across disciplines such as physics, engineering, computing, and the natural sciences.
-
B.
Faculty of Science, University of St Andrews
The Faculty of Science at the University of St Andrews is the division that oversees the university’s science disciplines, including departments such as Physics and Astronomy, and coordinates their teaching and research activities.
-
C.
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.
-
D.
College of Arts, Humanities and Social Sciences, University of Edinburgh
The College of Arts, Humanities and Social Sciences at the University of Edinburgh is a major academic division encompassing disciplines such as literature, history, philosophy, social sciences, and the arts, and includes schools like the Edinburgh College of Art.
-
E.
Edinburgh Campus
Edinburgh Campus is the main and largest campus of Heriot-Watt University, located on the outskirts of Edinburgh and known for its modern facilities and parkland setting.
- 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 GeoSciences, University of Edinburgh Triple: [College of Science and Engineering, University of Edinburgh, hasSchool, School of GeoSciences, University of Edinburgh]
Generated description
The School of GeoSciences at the University of Edinburgh is a leading academic department specializing in research and teaching on Earth systems, environment, climate, and human–environment interactions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: School of GeoSciences, University of Edinburgh Target entity description: The School of GeoSciences at the University of Edinburgh is a leading academic department specializing in research and teaching on Earth systems, environment, climate, and human–environment interactions.
-
A.
College of Science and Engineering, University of Glasgow
The College of Science and Engineering at the University of Glasgow is a major academic division offering research-led education and innovation across disciplines such as physics, engineering, computing, and the natural sciences.
-
B.
Faculty of Science, University of St Andrews
The Faculty of Science at the University of St Andrews is the division that oversees the university’s science disciplines, including departments such as Physics and Astronomy, and coordinates their teaching and research activities.
-
C.
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.
-
D.
College of Arts, Humanities and Social Sciences, University of Edinburgh
The College of Arts, Humanities and Social Sciences at the University of Edinburgh is a major academic division encompassing disciplines such as literature, history, philosophy, social sciences, and the arts, and includes schools like the Edinburgh College of Art.
-
E.
Edinburgh Campus
Edinburgh Campus is the main and largest campus of Heriot-Watt University, located on the outskirts of Edinburgh and known for its modern facilities and parkland setting.
- 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_69bd441be7bc8190b530362d427b97d2 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd729d3d448190a414a003a75104f6 |
completed | March 20, 2026, 4:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be8a2d71c08190be1d3397585ca65c |
completed | March 21, 2026, 12:08 p.m. |
| NEDg | Description generation | batch_69be8b2297088190a1e049eab409ac59 |
completed | March 21, 2026, 12:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69be8b80af18819091efdfe242b7b477 |
completed | March 21, 2026, 12:13 p.m. |
Created at: March 20, 2026, 1:34 p.m.