Triple
T10051317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen Elizabeth Hospital Birmingham |
E207754
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object |
University Hospitals Birmingham NHS Foundation Trust
University Hospitals Birmingham NHS Foundation Trust is a major NHS organization in Birmingham, England, that runs several large acute and specialist hospitals and provides a wide range of secondary and tertiary healthcare services.
|
E838177
|
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: University Hospitals Birmingham NHS Foundation Trust | Statement: [Queen Elizabeth Hospital Birmingham, partOf, University Hospitals Birmingham NHS Foundation Trust]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: University Hospitals Birmingham NHS Foundation Trust Context triple: [Queen Elizabeth Hospital Birmingham, partOf, University Hospitals Birmingham NHS Foundation Trust]
-
A.
Queen Elizabeth Hospital Birmingham
Queen Elizabeth Hospital Birmingham is a major teaching and research hospital in Birmingham, England, serving as a key clinical partner to the University of Birmingham and a leading center for specialist and acute care.
-
B.
Manchester University NHS Foundation Trust
Manchester University NHS Foundation Trust is one of the largest NHS hospital and community healthcare providers in the UK, delivering a wide range of specialist and general medical services across Greater Manchester and beyond.
-
C.
Liverpool University Hospitals NHS Foundation Trust
Liverpool University Hospitals NHS Foundation Trust is a large NHS organization in Liverpool, England, that runs multiple major acute and specialist hospitals providing a wide range of healthcare services to the region.
-
D.
Birmingham General Hospital
Birmingham General Hospital was a prominent 18th–19th century medical institution in Birmingham, England, known for its role in early clinical practice and medical research.
-
E.
University Hospital Southampton NHS Foundation Trust
University Hospital Southampton NHS Foundation Trust is a major NHS teaching hospital trust in Southampton, England, providing specialist and acute healthcare services and serving as a key clinical partner for medical education and research.
- 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: University Hospitals Birmingham NHS Foundation Trust Triple: [Queen Elizabeth Hospital Birmingham, partOf, University Hospitals Birmingham NHS Foundation Trust]
Generated description
University Hospitals Birmingham NHS Foundation Trust is a major NHS organization in Birmingham, England, that runs several large acute and specialist hospitals and provides a wide range of secondary and tertiary healthcare services.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: University Hospitals Birmingham NHS Foundation Trust Target entity description: University Hospitals Birmingham NHS Foundation Trust is a major NHS organization in Birmingham, England, that runs several large acute and specialist hospitals and provides a wide range of secondary and tertiary healthcare services.
-
A.
Queen Elizabeth Hospital Birmingham
Queen Elizabeth Hospital Birmingham is a major teaching and research hospital in Birmingham, England, serving as a key clinical partner to the University of Birmingham and a leading center for specialist and acute care.
-
B.
Manchester University NHS Foundation Trust
Manchester University NHS Foundation Trust is one of the largest NHS hospital and community healthcare providers in the UK, delivering a wide range of specialist and general medical services across Greater Manchester and beyond.
-
C.
Liverpool University Hospitals NHS Foundation Trust
Liverpool University Hospitals NHS Foundation Trust is a large NHS organization in Liverpool, England, that runs multiple major acute and specialist hospitals providing a wide range of healthcare services to the region.
-
D.
Birmingham General Hospital
Birmingham General Hospital was a prominent 18th–19th century medical institution in Birmingham, England, known for its role in early clinical practice and medical research.
-
E.
University Hospital Southampton NHS Foundation Trust
University Hospital Southampton NHS Foundation Trust is a major NHS teaching hospital trust in Southampton, England, providing specialist and acute healthcare services and serving as a key clinical partner for medical education and research.
- 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_69ca835ad0608190b7c80b292da004f5 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcf8fb23c8190b48b30cb2368dc1f |
completed | April 2, 2026, 2:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d29a4064a48190b4fdb6bf3ea5af05 |
completed | April 5, 2026, 5:22 p.m. |
| NEDg | Description generation | batch_69d29b28f48081909f7e0487800ebe52 |
completed | April 5, 2026, 5:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d29be3713c819089843c4ec2be93f1 |
completed | April 5, 2026, 5:29 p.m. |
Created at: March 30, 2026, 8:56 p.m.