Triple
T5344940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NHS Vesting Day |
E124031
|
entity |
| Predicate | coverageModelIntroduced |
P14568
|
FINISHED |
| Object | universal coverage based on residency rather than contributions |
—
|
LITERAL 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: universal coverage based on residency rather than contributions | Statement: [NHS Vesting Day, coverageModelIntroduced, universal coverage based on residency rather than contributions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coverageModelIntroduced Context triple: [NHS Vesting Day, coverageModelIntroduced, universal coverage based on residency rather than contributions]
-
A.
introducedForModel
Indicates that one entity was created, proposed, or brought into use specifically for application within a particular model.
-
B.
introducedAsModel
Indicates that one entity is presented or identified to others in the role or capacity of a model.
-
C.
coverageScope
chosen
Indicates the extent or range of entities, conditions, or situations that are included under a particular coverage or applicability.
-
D.
classIntroduced
Indicates that a particular class (e.g., in a programming language or system) has been newly defined or made available within a given context or scope.
-
E.
introducedAfter
Indicates that one entity was introduced at a later time or stage than another entity.
- F. None of above.
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_69bd464be27081908807b40b75c1bbae |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd85ea5e748190a9943de794e5c1ec |
completed | March 20, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69bd845a62b081909782863865b257a9 |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:01 p.m.