Triple
T4176280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Science, University of Sheffield |
E86484
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Department of Chemistry, University of Sheffield
The Department of Chemistry at the University of Sheffield is an academic department specializing in chemical education and research within the university’s science faculty.
|
E418729
|
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 Chemistry, University of Sheffield | Statement: [Faculty of Science, University of Sheffield, hasPart, Department of Chemistry, University of Sheffield]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Chemistry, University of Sheffield Context triple: [Faculty of Science, University of Sheffield, hasPart, Department of Chemistry, University of Sheffield]
-
A.
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.
-
B.
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.
-
C.
Department of Chemical and Biological Engineering, University of Sheffield
The Department of Chemical and Biological Engineering at the University of Sheffield is an academic unit specializing in education and research in chemical, biochemical, and process engineering within the university’s Faculty of Engineering.
-
D.
School of Chemistry
The School of Chemistry is the academic unit of Trinity College Dublin dedicated to teaching and research in chemical sciences.
-
E.
School of Chemistry
The School of Chemistry is the academic department at the University of Southampton 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: Department of Chemistry, University of Sheffield Triple: [Faculty of Science, University of Sheffield, hasPart, Department of Chemistry, University of Sheffield]
Generated description
The Department of Chemistry at the University of Sheffield is an academic department specializing in chemical education and research within the university’s science faculty.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Chemistry, University of Sheffield Target entity description: The Department of Chemistry at the University of Sheffield is an academic department specializing in chemical education and research within the university’s science faculty.
-
A.
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.
-
B.
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.
-
C.
Department of Chemical and Biological Engineering, University of Sheffield
The Department of Chemical and Biological Engineering at the University of Sheffield is an academic unit specializing in education and research in chemical, biochemical, and process engineering within the university’s Faculty of Engineering.
-
D.
School of Chemistry
The School of Chemistry is the academic unit of Trinity College Dublin dedicated to teaching and research in chemical sciences.
-
E.
School of Chemistry
The School of Chemistry is the academic department at the University of Southampton 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_69aed93de98c8190ad838ce507b77c8a |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af02eaa0d08190a3b805c64ef76a0c |
completed | March 9, 2026, 5:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b57f564c9c8190bfc321c8ec2dac14 |
completed | March 14, 2026, 3:31 p.m. |
| NEDg | Description generation | batch_69b58330b1d48190a3af96d3c0e7aa1b |
completed | March 14, 2026, 3:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b583ba1fd8819092b7fe73a17dc406 |
completed | March 14, 2026, 3:50 p.m. |
Created at: March 9, 2026, 3:45 p.m.