Triple
T18636478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Locksbottom |
E455561
|
entity |
| Predicate | hasHospital |
P105
|
FINISHED |
| Object | Princess Royal University Hospital |
—
|
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: Princess Royal University Hospital | Statement: [Locksbottom, hasHospital, Princess Royal University Hospital]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Princess Royal University Hospital Context triple: [Locksbottom, hasHospital, Princess Royal University Hospital]
-
A.
Princess Royal Hospital
Princess Royal Hospital is a major National Health Service (NHS) hospital serving Haywards Heath and the surrounding areas in West Sussex, England.
-
B.
Princess of Wales Hospital
Princess of Wales Hospital is a major district general hospital serving the town of Bridgend and the surrounding area in South Wales.
-
C.
Queen Elizabeth University Hospital
Queen Elizabeth University Hospital is a major acute and teaching hospital campus in Glasgow, Scotland, known as one of the largest hospital complexes in Europe.
-
D.
Balgrist University Hospital
Balgrist University Hospital is a leading Swiss academic medical center in Zurich specializing in musculoskeletal medicine, orthopedics, and rehabilitation.
-
E.
The Queen’s Hospital
The Queen’s Hospital is a major medical center in Honolulu, Hawaii, historically established as a charitable institution to care for Native Hawaiians and now one of the state’s leading healthcare providers.
- 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: Princess Royal University Hospital Target entity description: Princess Royal University Hospital is a major NHS teaching hospital in Locksbottom, London, providing a wide range of acute and specialist healthcare services.
-
A.
Princess Royal Hospital
Princess Royal Hospital is a major National Health Service (NHS) hospital serving Haywards Heath and the surrounding areas in West Sussex, England.
-
B.
Princess of Wales Hospital
Princess of Wales Hospital is a major district general hospital serving the town of Bridgend and the surrounding area in South Wales.
-
C.
Queen Elizabeth University Hospital
Queen Elizabeth University Hospital is a major acute and teaching hospital campus in Glasgow, Scotland, known as one of the largest hospital complexes in Europe.
-
D.
Balgrist University Hospital
Balgrist University Hospital is a leading Swiss academic medical center in Zurich specializing in musculoskeletal medicine, orthopedics, and rehabilitation.
-
E.
The Queen’s Hospital
The Queen’s Hospital is a major medical center in Honolulu, Hawaii, historically established as a charitable institution to care for Native Hawaiians and now one of the state’s leading healthcare providers.
- 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_69d8d38cc7948190a55ea64e5638994e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54fc90b508190849cecb462b52b62 |
completed | April 19, 2026, 9:57 p.m. |
Created at: April 10, 2026, 11:46 a.m.