Triple

T22041501
Position Surface form Disambiguated ID Type / Status
Subject Medicare beneficiaries E544645 entity
Predicate mustChoose P50558 FINISHED
Object Part D plan if they want outpatient drug coverage 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: Part D plan if they want outpatient drug coverage | Statement: [Medicare beneficiaries, mustChoose, Part D plan if they want outpatient drug coverage]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mustChoose
Context triple: [Medicare beneficiaries, mustChoose, Part D plan if they want outpatient drug coverage]
  • A. requiresChoiceBetween chosen
    Indicates that one must select between two or more specified options, and that making such a choice is necessary in the given context.
  • B. mustMeet
    Indicates that one entity is required or obligated to have a meeting or encounter with another entity.
  • C. mustFace
    Indicates that one entity is required or obligated to orient or direct its front side toward another entity or reference point.
  • D. mustGrant
    Indicates that one party is obligated to give or allow something (such as a right, permission, or resource) to another party.
  • E. mustTell
    Indicates that one entity is obligated or required to inform or disclose something to 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_69e11e32445c8190ab97089b48a130bb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12829c1c081909edc7544242c9c7a completed April 28, 2026, 9:35 p.m.
PD Predicate disambiguation batch_69e6f63b0d048190b241622759aab9de completed April 21, 2026, 3:59 a.m.
Created at: April 16, 2026, 8:25 p.m.