Triple
T8030340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clifton campus |
E186962
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
School of Chemistry, University of Bristol
The School of Chemistry, University of Bristol is a leading UK academic department known for its research and teaching in chemical sciences, spanning areas such as synthetic chemistry, materials, and chemical biology.
|
E706277
|
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 Chemistry, University of Bristol | Statement: [Clifton campus, contains, School of Chemistry, University of Bristol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: School of Chemistry, University of Bristol Context triple: [Clifton campus, contains, School of Chemistry, University of Bristol]
-
A.
Department of Chemistry, University of Cambridge
The Department of Chemistry at the University of Cambridge is a leading academic and research institution renowned for its contributions to chemical science and the training of world-class chemists.
-
B.
School of Chemistry, University of St Andrews
The School of Chemistry at the University of St Andrews is a leading academic department in Scotland known for its research and teaching across the chemical sciences.
-
C.
Department of Chemistry, Lancaster University
The Department of Chemistry at Lancaster University is an academic unit focused on teaching and research in chemical sciences within the university’s Faculty of Science and Technology.
-
D.
School of Chemistry, University of Edinburgh
The School of Chemistry at the University of Edinburgh is a leading academic department renowned for its research and teaching in chemical sciences within the university’s College of Science and Engineering.
-
E.
School of Chemistry
The School of Chemistry is the academic department at the University of St Andrews dedicated to teaching and research in chemical sciences.
- 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 Chemistry, University of Bristol Triple: [Clifton campus, contains, School of Chemistry, University of Bristol]
Generated description
The School of Chemistry, University of Bristol is a leading UK academic department known for its research and teaching in chemical sciences, spanning areas such as synthetic chemistry, materials, and chemical biology.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: School of Chemistry, University of Bristol Target entity description: The School of Chemistry, University of Bristol is a leading UK academic department known for its research and teaching in chemical sciences, spanning areas such as synthetic chemistry, materials, and chemical biology.
-
A.
Department of Chemistry, University of Cambridge
The Department of Chemistry at the University of Cambridge is a leading academic and research institution renowned for its contributions to chemical science and the training of world-class chemists.
-
B.
School of Chemistry, University of St Andrews
The School of Chemistry at the University of St Andrews is a leading academic department in Scotland known for its research and teaching across the chemical sciences.
-
C.
Department of Chemistry, Lancaster University
The Department of Chemistry at Lancaster University is an academic unit focused on teaching and research in chemical sciences within the university’s Faculty of Science and Technology.
-
D.
School of Chemistry, University of Edinburgh
The School of Chemistry at the University of Edinburgh is a leading academic department renowned for its research and teaching in chemical sciences within the university’s College of Science and Engineering.
-
E.
School of Chemistry
The School of Chemistry is the academic department at the University of St Andrews dedicated to teaching and research in chemical sciences.
- 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_69ca82ad4e2c8190a693e3c9e30fe66f |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3ecf0f2c819091899211003c461e |
completed | March 31, 2026, 3:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc56e146048190a97b3b37d1eec0b8 |
completed | March 31, 2026, 11:21 p.m. |
| NEDg | Description generation | batch_69cc58ecd0608190ab0880992bc203fb |
completed | March 31, 2026, 11:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc5cbf8278819085ff32a0494d544e |
completed | March 31, 2026, 11:46 p.m. |
Created at: March 30, 2026, 5:22 p.m.