Triple
T12599544
| 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 |
Oxford e-Research Centre
The Oxford e-Research Centre is a multidisciplinary research hub at the University of Oxford that develops and applies advanced digital, computational, and data-intensive methods to support scientific and scholarly research.
|
E991879
|
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: Oxford e-Research Centre | Statement: [University of Oxford Faculty of Mathematical, Physical and Life Sciences, hasUnit, Oxford e-Research Centre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oxford e-Research Centre Context triple: [University of Oxford Faculty of Mathematical, Physical and Life Sciences, hasUnit, Oxford e-Research Centre]
-
A.
Oxford Martin School
The Oxford Martin School is a multidisciplinary research institute at the University of Oxford focused on tackling global challenges and shaping the future through long-term, cross-cutting scholarship.
-
B.
University of Oxford IT Services
University of Oxford IT Services is the central department that provides technology infrastructure, support, and digital services to the University of Oxford’s students, staff, and researchers.
-
C.
UCL Centre for Digital Humanities
UCL Centre for Digital Humanities is a research hub at University College London that explores the intersection of digital technologies with arts, culture, and the humanities.
-
D.
Oxford University CC
Oxford University CC is the cricket club representing the University of Oxford in first-class and university-level cricket competitions.
-
E.
Cambridge research centres
Cambridge research centres are specialized academic and scientific institutes affiliated with the University of Cambridge that conduct advanced research across a wide range of disciplines.
- 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: Oxford e-Research Centre Triple: [University of Oxford Faculty of Mathematical, Physical and Life Sciences, hasUnit, Oxford e-Research Centre]
Generated description
The Oxford e-Research Centre is a multidisciplinary research hub at the University of Oxford that develops and applies advanced digital, computational, and data-intensive methods to support scientific and scholarly research.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oxford e-Research Centre Target entity description: The Oxford e-Research Centre is a multidisciplinary research hub at the University of Oxford that develops and applies advanced digital, computational, and data-intensive methods to support scientific and scholarly research.
-
A.
Oxford Martin School
The Oxford Martin School is a multidisciplinary research institute at the University of Oxford focused on tackling global challenges and shaping the future through long-term, cross-cutting scholarship.
-
B.
University of Oxford IT Services
University of Oxford IT Services is the central department that provides technology infrastructure, support, and digital services to the University of Oxford’s students, staff, and researchers.
-
C.
UCL Centre for Digital Humanities
UCL Centre for Digital Humanities is a research hub at University College London that explores the intersection of digital technologies with arts, culture, and the humanities.
-
D.
Oxford University CC
Oxford University CC is the cricket club representing the University of Oxford in first-class and university-level cricket competitions.
-
E.
Cambridge research centres
Cambridge research centres are specialized academic and scientific institutes affiliated with the University of Cambridge that conduct advanced research across a wide range of disciplines.
- 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_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. |
| NEDg | Description generation | batch_69f65faf33e0819092df07a5fa98cb73 |
completed | May 2, 2026, 8:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f66036f520819098af75cd5578d573 |
completed | May 2, 2026, 8:36 p.m. |
Created at: April 9, 2026, 5:09 p.m.