Triple
T5125180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Science, University of St Andrews |
E115565
|
entity |
| Predicate | hasUnit |
P35
|
FINISHED |
| Object |
School of Earth and Environmental Sciences, University of St Andrews
The School of Earth and Environmental Sciences at the University of St Andrews is an academic department specializing in the study and research of geology, earth systems, and environmental science.
|
E495719
|
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 and Environmental Sciences, University of St Andrews | Statement: [Faculty of Science, University of St Andrews, hasUnit, School of Earth and Environmental Sciences, University of St Andrews]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: School of Earth and Environmental Sciences, University of St Andrews Context triple: [Faculty of Science, University of St Andrews, hasUnit, School of Earth and Environmental Sciences, University of St Andrews]
-
A.
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.
-
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.
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.
-
D.
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.
-
E.
School of Economics and Finance, University of St Andrews
The School of Economics and Finance at the University of St Andrews is an academic department renowned for its teaching and research in economics and finance within one of Scotland’s oldest and most prestigious universities.
- 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 and Environmental Sciences, University of St Andrews Triple: [Faculty of Science, University of St Andrews, hasUnit, School of Earth and Environmental Sciences, University of St Andrews]
Generated description
The School of Earth and Environmental Sciences at the University of St Andrews is an academic department specializing in the study and research of geology, earth systems, and environmental science.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: School of Earth and Environmental Sciences, University of St Andrews Target entity description: The School of Earth and Environmental Sciences at the University of St Andrews is an academic department specializing in the study and research of geology, earth systems, and environmental science.
-
A.
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.
-
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.
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.
-
D.
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.
-
E.
School of Economics and Finance, University of St Andrews
The School of Economics and Finance at the University of St Andrews is an academic department renowned for its teaching and research in economics and finance within one of Scotland’s oldest and most prestigious universities.
- 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_69bd4442ade0819087b9461f892b206b |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd78072b8c81908b5ac3b231f04136 |
completed | March 20, 2026, 4:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bec4bb52fc8190b4c0cd6bc367e8eb |
completed | March 21, 2026, 4:18 p.m. |
| NEDg | Description generation | batch_69bec562d0508190851b5a3307e9405b |
completed | March 21, 2026, 4:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bec6478b848190bc09d7f6485681b4 |
completed | March 21, 2026, 4:24 p.m. |
Created at: March 20, 2026, 1:42 p.m.