Triple
T4993039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | College of Science and Engineering, University of Edinburgh |
E112176
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object | School of Engineering, University of Edinburgh |
E484299
|
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: School of Engineering, University of Edinburgh | Statement: [College of Science and Engineering, University of Edinburgh, hasDepartment, School of Engineering, University of Edinburgh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: School of Engineering, University of Edinburgh Context triple: [College of Science and Engineering, University of Edinburgh, hasDepartment, School of Engineering, University of Edinburgh]
-
A.
School of Engineering, University of Edinburgh
chosen
The School of Engineering at the University of Edinburgh is a major academic unit offering research-led education and innovation across multiple engineering disciplines within one of Scotland’s leading universities.
-
B.
College of Science and Engineering, University of Glasgow
The College of Science and Engineering at the University of Glasgow is a major academic division offering research-led education and innovation across disciplines such as physics, engineering, computing, and the natural sciences.
-
C.
Heriot-Watt University
Heriot-Watt University is a Scottish research university known for its strong focus on science, engineering, business, and design, with a significant international presence through multiple global campuses.
-
D.
School of Informatics, University of Edinburgh
The School of Informatics at the University of Edinburgh is a leading center for research and teaching in computer science, artificial intelligence, and related disciplines, recognized internationally for its contributions to informatics.
-
E.
University of Strathclyde
The University of Strathclyde is a public research university in Glasgow, Scotland, known for its strong engineering, science, business, and technology programs and its focus on industry collaboration.
- 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_69bd441be7bc8190b530362d427b97d2 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd729d3d448190a414a003a75104f6 |
completed | March 20, 2026, 4:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be92521bcc8190a1c485216f885778 |
completed | March 21, 2026, 12:42 p.m. |
Created at: March 20, 2026, 1:34 p.m.