Triple
T11864763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Savings Credit |
E282252
|
entity |
| Predicate | affectedByReform |
P48027
|
FINISHED |
| Object | introduction of the new State Pension in April 2016 |
—
|
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: introduction of the new State Pension in April 2016 | Statement: [Savings Credit, affectedByReform, introduction of the new State Pension in April 2016]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: affectedByReform Context triple: [Savings Credit, affectedByReform, introduction of the new State Pension in April 2016]
-
A.
reformInfluencedBy
Indicates that a reform was shaped, guided, or significantly affected by another person, idea, event, or reform.
-
B.
replacedInReform
Indicates that one entity was substituted or superseded by another as part of a formal reform or restructuring process.
-
C.
isPartOfReform
Indicates that an action, measure, or component belongs to, contributes to, or is included within a broader reform initiative or process.
-
D.
subjectToReformBy
chosen
Indicates that an entity is undergoing or designated for changes, improvements, or restructuring carried out by another entity.
-
E.
relatedReforms
Indicates that one reform is connected or associated with another reform, typically through shared goals, content, or impact.
- 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_69d6ab2945d081908a5851c916cbcfb5 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a73883508190a78b5f4ba4a220df |
completed | April 10, 2026, 7:31 a.m. |
| PD | Predicate disambiguation | batch_69d8a2589f0c8190ad82ff11acabae93 |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:43 p.m.