Triple

T5769346
Position Surface form Disambiguated ID Type / Status
Subject Social Security Trust Funds E127288 entity
Predicate expenditures P66310 FINISHED
Object benefit payments 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: benefit payments | Statement: [Social Security Trust Funds, expenditures, benefit payments]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: expenditures
Context triple: [Social Security Trust Funds, expenditures, benefit payments]
  • A. mainExpenditureCategory
    Indicates the primary type or classification of spending to which a particular expenditure mainly belongs.
  • B. incomeUsedFor
    Indicates that some or all of an income amount is allocated or spent for a specified purpose, activity, or recipient.
  • C. authorizedSpending
    Indicates that an entity has been granted permission to spend or allocate a specified amount of resources, typically funds, under defined conditions.
  • D. expands
    Indicates that one entity increases in size, volume, scope, or extent relative to a previous state or another entity.
  • E. budgetRight
    Indicates that an entity has the authority, responsibility, or entitlement to allocate, manage, or decide on the use of a specified budget or financial resources.
  • 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_69c00834f6308190851b0abeddd8ed7e completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02acb12c081908e4beee4a957f9f9 completed March 22, 2026, 5:45 p.m.
PD Predicate disambiguation batch_69c021ce8d3c81909b332cb1c33a61ad completed March 22, 2026, 5:07 p.m.
PDg Predicate description generation batch_69c02ac9603481909e3fa295d7904a15 completed March 22, 2026, 5:45 p.m.
Created at: March 22, 2026, 3:50 p.m.