Triple
T5344937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NHS Vesting Day |
E124031
|
entity |
| Predicate | definesStartOf |
P12097
|
FINISHED |
| Object | NHS as a universal service for all UK residents |
—
|
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: NHS as a universal service for all UK residents | Statement: [NHS Vesting Day, definesStartOf, NHS as a universal service for all UK residents]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: definesStartOf Context triple: [NHS Vesting Day, definesStartOf, NHS as a universal service for all UK residents]
-
A.
beganWith
chosen
Indicates that one event, process, or state started with or was initiated by another specified event, process, or state.
-
B.
formsInitialSegmentOf
Indicates that one entity constitutes the starting portion or beginning segment of another, larger entity or sequence.
-
C.
representationBegins
Indicates that the act or state of representing something starts or comes into effect at a particular point in time.
-
D.
startOfRule
Indicates that one element marks the beginning boundary or initial segment of a specified rule.
-
E.
startsAt
Indicates that an event, process, or state begins at a specific time, location, or point in a sequence.
- 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.