Triple
T5314414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New State Pension |
E119111
|
entity |
| Predicate | upratingLinkedTo |
P47789
|
FINISHED |
| Object | earnings growth |
—
|
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: earnings growth | Statement: [New State Pension, upratingLinkedTo, earnings growth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: upratingLinkedTo Context triple: [New State Pension, upratingLinkedTo, earnings growth]
-
A.
riseLinkedTo
chosen
Indicates that an increase or upward change in one entity is associated with, influenced by, or correlated to another specified factor or entity.
-
B.
upgradeOf
Indicates that one entity is a newer, improved, or more advanced version of another entity.
-
C.
enhancedBy
Indicates that one entity’s value, effectiveness, or impact is increased or improved as a result of another entity.
-
D.
hasHighRatingOn
Indicates that one entity is evaluated or reviewed on another entity’s platform or system with a rating that meets or exceeds a defined high threshold.
-
E.
upgradeStatus
Indicates the current state or progress of an upgrade process applied to an 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_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.