Triple
T5654561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Insurance record |
E124584
|
entity |
| Predicate | canBeImprovedBy |
P39508
|
FINISHED |
| Object | paying voluntary contributions for eligible past years |
—
|
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: paying voluntary contributions for eligible past years | Statement: [National Insurance record, canBeImprovedBy, paying voluntary contributions for eligible past years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeImprovedBy Context triple: [National Insurance record, canBeImprovedBy, paying voluntary contributions for eligible past years]
-
A.
improvesOn
Indicates that one entity enhances, refines, or performs better than another entity, typically by addressing its limitations or increasing its effectiveness.
-
B.
seeksToImprove
Indicates an intentional effort by one entity to make another entity or condition better than its current state.
-
C.
upgradeOf
Indicates that one entity is a newer, improved, or more advanced version of another entity.
-
D.
claimsToImprove
Indicates that one entity asserts or promises that it will enhance, benefit, or make another entity better in some way.
-
E.
enhancedBy
chosen
Indicates that one entity’s value, effectiveness, or impact is increased or improved as a result of 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_69c0082774a481909d7e63fb2aad56ac |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c022f998688190b18eb6469e8c054f |
completed | March 22, 2026, 5:12 p.m. |
| PD | Predicate disambiguation | batch_69c01b2274b48190b2ef57ed728f785c |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:42 p.m.