Triple
T424443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen Margaret Hospital, Dunfermline |
E8175
|
entity |
| Predicate | isPartOf |
P10
|
FINISHED |
| Object | NHS Scotland |
E23217
|
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: NHS Scotland | Statement: [Queen Margaret Hospital, Dunfermline, isPartOf, NHS Scotland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NHS Scotland Context triple: [Queen Margaret Hospital, Dunfermline, isPartOf, NHS Scotland]
-
A.
NHS Scotland
chosen
NHS Scotland is the publicly funded healthcare system for Scotland, providing comprehensive medical services free at the point of use to residents.
-
B.
NHS Lothian
NHS Lothian is a major regional division of Scotland’s National Health Service responsible for providing healthcare services to the population of Edinburgh and the surrounding Lothian area.
-
C.
NHS Fife
NHS Fife is the regional division of Scotland’s National Health Service responsible for providing and managing healthcare services across the Fife area.
-
D.
NHS Wales
NHS Wales is the publicly funded healthcare system for Wales, providing a wide range of medical and health services to residents free at the point of use.
-
E.
NHS Digital
NHS Digital is the national information and technology partner to the UK’s health and care system, responsible for collecting, managing, and providing access to health and social care data in England.
- 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_69a2e7f1d1bc81909cf2dc9754a3c334 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2eed3e4cc8190ba6aff3bd1adb06f |
completed | Feb. 28, 2026, 1:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a431df41888190b643fd3cf0d20a09 |
completed | March 1, 2026, 12:32 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.