Triple

T22648017
Position Surface form Disambiguated ID Type / Status
Subject Medicare late enrollment penalty E559015 entity
Predicate calculationDependsOn P71610 FINISHED
Object length of time without required 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: length of time without required coverage | Statement: [Medicare late enrollment penalty, calculationDependsOn, length of time without required coverage]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: calculationDependsOn
Context triple: [Medicare late enrollment penalty, calculationDependsOn, length of time without required coverage]
  • A. calculatedOn chosen
    Indicates that a value, result, or outcome is computed based on or using the referenced entity as its input, basis, or context.
  • B. positionDependsOn
    Indicates that the spatial or ordered position of one entity is determined or constrained by the position of another entity.
  • C. conceptuallyDependsOn
    Indicates that one entity’s definition, validity, or understanding relies on or is grounded in the concepts provided by another entity.
  • D. measurementDependsOn
    Indicates that one measurement is derived from, influenced by, or requires another measurement in order to be defined or computed.
  • E. calculationProvider
    Indicates that one entity serves as the source or performer of a calculation for another entity or process.
  • 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_69e24547f7fc819086e2c4ba3b979657 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f17039c2bc8190972a7c169b27005c completed April 29, 2026, 2:43 a.m.
PD Predicate disambiguation batch_69ee6294c4c08190b7e4829f4b9af24b completed April 26, 2026, 7:08 p.m.
Created at: April 17, 2026, 3:05 p.m.