Triple
T12599532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Oxford Faculty of Mathematical, Physical and Life Sciences |
E300819
|
entity |
| Predicate | hasUnit |
P35
|
FINISHED |
| Object | Department of Computer Science, University of Oxford |
E824084
|
NE FINISHED |
How this triple was built (2 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 Computer Science, University of Oxford | Statement: [University of Oxford Faculty of Mathematical, Physical and Life Sciences, hasUnit, Department of Computer Science, University of Oxford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Computer Science, University of Oxford Context triple: [University of Oxford Faculty of Mathematical, Physical and Life Sciences, hasUnit, Department of Computer Science, University of Oxford]
-
A.
Department of Computer Science, University of Oxford
chosen
The Department of Computer Science at the University of Oxford is a leading academic department renowned for its research and teaching in theoretical and applied computer science.
-
B.
Department of Computer Science and Technology, University of Cambridge
The Department of Computer Science and Technology at the University of Cambridge is a leading academic and research centre in computer science, renowned for its pioneering contributions to computing theory, systems, and applications.
-
C.
Department of Computing, Imperial College London
The Department of Computing at Imperial College London is a leading UK computer science department renowned for its research excellence and highly ranked undergraduate and postgraduate programmes in computing and artificial intelligence.
-
D.
Department of Computer Science, University of Sheffield
The Department of Computer Science at the University of Sheffield is a leading UK academic department known for its research and teaching in areas such as artificial intelligence, machine learning, software engineering, and computational biology.
-
E.
Department of Computer Science
The Department of Computer Science at Scottish Church College is an academic unit offering undergraduate education and research opportunities in computing and information technology within the college.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d7bdea2ca881908f379526c13b1145 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954d096d08190afa1f685bad68d35 |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ec92c6c8190bd2d193e70940407 |
completed | May 2, 2026, 8:30 p.m. |
Created at: April 9, 2026, 5:09 p.m.