Triple
T5345022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NHS policy |
E124032
|
entity |
| Predicate | notableReformWave |
P50931
|
FINISHED |
| Object | internal market reforms of the 1990s |
—
|
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: internal market reforms of the 1990s | Statement: [NHS policy, notableReformWave, internal market reforms of the 1990s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableReformWave Context triple: [NHS policy, notableReformWave, internal market reforms of the 1990s]
-
A.
notableReform
Indicates that an entity is recognized for having initiated, led, or been central to a significant reform or transformative change in a system, policy, or institution.
-
B.
timeOfMajorReforms
chosen
Indicates the specific time period during which significant reforms or major changes took place.
-
C.
notableRevolt
Indicates a significant uprising or rebellion in which the subject played an important or historically notable role.
-
D.
notableChange
Indicates a significant alteration or shift in the state, condition, or characteristics of an entity or relationship.
-
E.
implementedReformsIn
Indicates that an entity (typically a person, organization, or government) carried out or put into effect specific reforms within a particular context, domain, or location.
- 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.