Triple
T1902045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orpington Hospital |
E37710
|
entity |
| Predicate | healthcareSystem |
P468
|
FINISHED |
| Object | NHS |
E8510
|
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 | Statement: [Orpington Hospital, healthcareSystem, NHS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NHS Context triple: [Orpington Hospital, healthcareSystem, NHS]
-
A.
National Health Service
The National Health Service is the United Kingdom’s publicly funded healthcare system that provides comprehensive medical services to residents, largely free at the point of use.
-
B.
NHS organisations
NHS organisations are publicly funded healthcare bodies in the United Kingdom that provide medical services, public health functions, and clinical training within the National Health Service.
-
C.
NHS Scotland
NHS Scotland is the publicly funded healthcare system for Scotland, providing comprehensive medical services free at the point of use to residents.
-
D.
NHS England
chosen
NHS England is the national body responsible for overseeing the budget, planning, delivery, and improvement of most publicly funded healthcare services in England.
-
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_69a8861be7148190a680937ec451a304 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb18da27c8190b315b462c857f4c2 |
completed | March 7, 2026, 5:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adf3d0d01c8190ae0c8029fead4008 |
completed | March 8, 2026, 10:10 p.m. |
Created at: March 4, 2026, 7:35 p.m.