Triple

T1095088
Position Surface form Disambiguated ID Type / Status
Subject Medicare Part D E24252 entity
Predicate requiresPlansTo P100 FINISHED
Object cover drugs in all or substantially all drugs in six protected classes 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: cover drugs in all or substantially all drugs in six protected classes | Statement: [Medicare Part D, requiresPlansTo, cover drugs in all or substantially all drugs in six protected classes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: requiresPlansTo
Context triple: [Medicare Part D, requiresPlansTo, cover drugs in all or substantially all drugs in six protected classes]
  • A. plannedUnder
    Indicates that one entity has been scheduled, organized, or arranged to occur within the scope, authority, or framework of another entity.
  • B. hasPlan
    Indicates that an entity possesses or is associated with a specific plan or course of action.
  • C. requires chosen
    Indicates that one entity must exist, occur, or be satisfied before another entity can exist, occur, or be carried out.
  • D. hasGlobalPlan
    Indicates that an entity possesses or is associated with an overarching, comprehensive plan that applies at a global or system-wide level.
  • E. planned
    Indicates that an entity has intentionally arranged or scheduled another entity or event to occur in the future.
  • 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_69a4940542308190ac2a0b1f730b7cfc completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b99e92308190b8a8c499e1630672 completed March 1, 2026, 10:11 p.m.
PD Predicate disambiguation batch_69a4b743175481908f3967e589717c55 completed March 1, 2026, 10:01 p.m.
Created at: March 1, 2026, 7:42 p.m.