Triple

T37315060
Position Surface form Disambiguated ID Type / Status
Subject Instituto de Salud para el Bienestar E926310 entity
Predicate población objetivo P17586 FINISHED
Object personas sin seguridad social 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: personas sin seguridad social | Statement: [Instituto de Salud para el Bienestar, población objetivo, personas sin seguridad social]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: población objetivo
Context triple: [Instituto de Salud para el Bienestar, población objetivo, personas sin seguridad social]
  • A. targetedPopulation chosen
    Indicates the group of individuals or entities that an action, intervention, or effect is specifically directed toward.
  • B. targetQualification
    Indicates that one entity specifies or defines the required qualification or eligibility criteria for another entity.
  • C. targetMarket
    Indicates the group of consumers or organizations that a product, service, or campaign is specifically intended and designed to reach.
  • D. campaignObjectiveSpanish
    Indicates the specific goal or purpose of a campaign as expressed in the Spanish language.
  • E. promotionTarget
    Indicates that one entity is the intended recipient or destination of a promotional action initiated by 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_69f76eb28af88190b093b32e3fd614ab completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fb78cbef988190b8f79d946b46e6b2 completed May 6, 2026, 5:22 p.m.
PD Predicate disambiguation batch_69fb5a9ac5a08190b24ef308963fc52b completed May 6, 2026, 3:13 p.m.
Created at: May 3, 2026, 4:16 p.m.