Triple

T37089261
Position Surface form Disambiguated ID Type / Status
Subject Administradoras de Fondos para el Retiro E918370 entity
Predicate beneficiaryOfContributionsFrom P7910 FINISHED
Object employers 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: employers | Statement: [Administradoras de Fondos para el Retiro, beneficiaryOfContributionsFrom, employers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: beneficiaryOfContributionsFrom
Context triple: [Administradoras de Fondos para el Retiro, beneficiaryOfContributionsFrom, employers]
  • A. beneficiaryContribution
    Indicates that one party provides a contribution, support, or resources that benefit another designated beneficiary.
  • B. hasContributionFrom
    Indicates that something (such as a work, project, or outcome) is created, influenced, or supported in part by a specified contributor.
  • C. beneficiaries chosen
    Indicates that certain entities receive advantages, profits, or positive outcomes from an action, event, or arrangement.
  • D. eligibleBeneficiaries
    Indicates that certain parties meet the required conditions to receive benefits or entitlements under a given rule or program.
  • E. beneficiaryProvision
    Indicates that one entity provides something (such as goods, services, or benefits) for the advantage or benefit of another 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_69f76e9952b88190a6fe01ba01476520 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fba2877b248190a974eb092243c0c4 completed May 6, 2026, 8:20 p.m.
PD Predicate disambiguation batch_69fb8d06a1b48190a937aa410d159dfa completed May 6, 2026, 6:48 p.m.
Created at: May 3, 2026, 4:14 p.m.