Triple

T182112
Position Surface form Disambiguated ID Type / Status
Subject Medicare E3899 entity
Predicate alsoServes P6337 FINISHED
Object younger individuals with disabilities 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: younger individuals with disabilities | Statement: [Medicare, alsoServes, younger individuals with disabilities]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: alsoServes
Context triple: [Medicare, alsoServes, younger individuals with disabilities]
  • A. primaryServes
    Indicates that one entity’s main or principal function is to serve, support, or provide service to another entity.
  • B. servesBranch
    Indicates that one entity provides services or support to a particular branch or subdivision of an organization.
  • C. servesAtThePleasureOf
    Indicates that one entity holds a position or role that can be terminated at any time by another entity, typically at the discretion or will of that other entity.
  • D. servesField
    Indicates that one entity performs a service or function specifically for, or in support of, a particular field, domain, or area of activity.
  • E. doesNotServe
    Indicates that one entity explicitly does not provide a service, function, or role to another entity.
  • 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_69a25497e2f08190a040f8c6e1842643 completed Feb. 28, 2026, 2:36 a.m.
NER Named-entity recognition batch_69a25923507c8190bd7f6eda404b0da0 completed Feb. 28, 2026, 2:55 a.m.
PD Predicate disambiguation batch_69a2566ccc288190add5624ede96d82b completed Feb. 28, 2026, 2:43 a.m.
PDg Predicate description generation batch_69a2575e7c7c819095167d8a862c255a completed Feb. 28, 2026, 2:47 a.m.
Created at: Feb. 28, 2026, 2:40 a.m.