Triple
T5314406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New State Pension |
E119111
|
entity |
| Predicate | isEarningsRelated |
P39304
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [New State Pension, isEarningsRelated, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isEarningsRelated Context triple: [New State Pension, isEarningsRelated, true]
-
A.
requiresEarnedIncome
chosen
Indicates that something is conditional upon an individual or entity having earned income, such as wages or salary, in order to qualify or apply.
-
B.
isIncomeStock
Indicates that a stock primarily generates regular income (such as dividends) rather than being held mainly for capital appreciation.
-
C.
incomeType
Indicates the category or source classification of an entity’s income within a given context.
-
D.
hasEconomicRole
Indicates that an entity participates in or fulfills a specific function, position, or responsibility within an economic system or activity.
-
E.
careerEarningsApprox
Indicates an approximate total amount of money an entity has earned over the course of its career.
- 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.