Triple

T38073472
Position Surface form Disambiguated ID Type / Status
Subject Deutsche Rentenversicherung E950646 entity
Predicate employerContributionRateType P192742 FINISHED
Object pay-as-you-go system 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: pay-as-you-go system | Statement: [Deutsche Rentenversicherung, employerContributionRateType, pay-as-you-go system]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: employerContributionRateType
Context triple: [Deutsche Rentenversicherung, employerContributionRateType, pay-as-you-go system]
  • A. employerContributionType
    Indicates the specific category or method by which an employer contributes (e.g., financially or in kind) within a given arrangement or plan.
  • B. employerContributionSource
    Indicates that a contribution originates from an employer as the paying or funding source.
  • C. employeeContribution
    Indicates that an employee provides or pays a specified contribution, typically toward a benefit, fund, or plan.
  • D. employeeContributionRequired
    Indicates that an employee is obligated to make a contribution (typically financial or participatory) as part of a plan, program, or arrangement.
  • E. retirementMatchType
    Indicates the specific way in which a retirement-related contribution, benefit, or plan component is matched or aligned between parties (e.g., employer and employee).
  • F. None of above. chosen

Provenance (4 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_69f76f02a6c48190a94f3c0b3ee90cf2 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fd2839880c819099a7a89783f2270e completed May 8, 2026, 12:03 a.m.
PD Predicate disambiguation batch_69fd23dc5da48190ae8ba08947d34956 completed May 7, 2026, 11:44 p.m.
PDg Predicate description generation batch_69fd28379d2c8190903ba228ee1cc756 completed May 8, 2026, 12:03 a.m.
Created at: May 3, 2026, 4:21 p.m.