Triple

T28267486
Position Surface form Disambiguated ID Type / Status
Subject QPP E712743 entity
Predicate benefitsBasedOn P167766 FINISHED
Object contributory earnings record 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: contributory earnings record | Statement: [QPP, benefitsBasedOn, contributory earnings record]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: benefitsBasedOn
Context triple: [QPP, benefitsBasedOn, contributory earnings record]
  • A. benefitsAre
    Indicates that certain advantages, gains, or positive outcomes are possessed by or accrue to a particular entity or group.
  • B. benefitLevelBasedOn chosen
    Indicates that the degree or amount of benefit is determined according to a specified basis, condition, or criterion.
  • C. benefitAppliesTo
    Indicates that a particular benefit is applicable to, or valid for, a specified entity or context.
  • D. benefits
    Indicates that one entity gains an advantage, improvement, or positive outcome as a result of another entity or action.
  • E. criterionForBenefits
    Indicates that something serves as a condition or standard that must be met in order for an entity to receive certain benefits.
  • 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_69efb5216c6881908020dce4aea65381 completed April 27, 2026, 7:12 p.m.
NER Named-entity recognition batch_69f68f670b608190a0b6ab60d722b4e0 completed May 2, 2026, 11:57 p.m.
PD Predicate disambiguation batch_69f68b78f29481908cc8f390496dee97 completed May 2, 2026, 11:40 p.m.
Created at: April 27, 2026, 11:15 p.m.