Triple
T21783177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Birmingham |
E537767
|
entity |
| Predicate | affiliatedHospital |
P465
|
FINISHED |
| Object | City Hospital Birmingham |
—
|
NE NERFINISHED |
How this triple was built (3 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: City Hospital Birmingham | Statement: [University of Birmingham, affiliatedHospital, City Hospital Birmingham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City Hospital Birmingham Context triple: [University of Birmingham, affiliatedHospital, City Hospital Birmingham]
-
A.
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.
-
B.
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.
-
C.
Bristol hospital
Bristol hospital is a medical facility in Bristol, England, providing healthcare services to the local community and surrounding region.
-
D.
Broadgreen Hospital
Broadgreen Hospital is a major NHS hospital in Liverpool, England, providing a range of acute and specialist healthcare services to the local community.
-
E.
Frenchay Hospital
Frenchay Hospital was a major NHS hospital in Bristol, England, historically noted for its specialist neurosurgery and burns units before its services were transferred and the site redeveloped.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: City Hospital Birmingham Target entity description: City Hospital Birmingham is a major teaching hospital in Birmingham, England, serving as a clinical training site for the University of Birmingham’s medical and health sciences students.
-
A.
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.
-
B.
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.
-
C.
Bristol hospital
Bristol hospital is a medical facility in Bristol, England, providing healthcare services to the local community and surrounding region.
-
D.
Broadgreen Hospital
Broadgreen Hospital is a major NHS hospital in Liverpool, England, providing a range of acute and specialist healthcare services to the local community.
-
E.
Frenchay Hospital
Frenchay Hospital was a major NHS hospital in Bristol, England, historically noted for its specialist neurosurgery and burns units before its services were transferred and the site redeveloped.
- F. None of above. chosen
Provenance (2 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_69e0c47198f881908cb0d237266c10e9 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0462ed0ec81908833e18c164e8b5c |
completed | April 28, 2026, 5:31 a.m. |
Created at: April 16, 2026, 6:52 p.m.