Triple
T5314429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New State Pension |
E119111
|
entity |
| Predicate | paysMoreThanOldSystemFor |
P54750
|
FINISHED |
| Object | many low and middle earners with full contribution records |
—
|
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: many low and middle earners with full contribution records | Statement: [New State Pension, paysMoreThanOldSystemFor, many low and middle earners with full contribution records]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: paysMoreThanOldSystemFor Context triple: [New State Pension, paysMoreThanOldSystemFor, many low and middle earners with full contribution records]
-
A.
moreExpensiveThan
chosen
Indicates that one entity has a higher cost or price than another entity.
-
B.
paySystemComparableTo
Indicates that one entity’s pay system is similar or equivalent in structure, level, or fairness to that of another entity.
-
C.
estimatedCost
Indicates the predicted or calculated monetary amount expected to be required for something, such as a project, item, or action.
-
D.
costToUser
Indicates the amount of cost or expense that is borne by, charged to, or incurred by the user.
-
E.
coversCosts
Indicates that one party assumes responsibility for paying or reimbursing the expenses incurred by another party.
- 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_69bd446b57bc8190a513d2e6c40314f3 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd86f20f008190be7b5848af05f2b8 |
completed | March 20, 2026, 5:42 p.m. |
| PD | Predicate disambiguation | batch_69bd84534f9c8190bc19d4812060768d |
completed | March 20, 2026, 5:30 p.m. |
Created at: March 20, 2026, 1:54 p.m.