Triple

T4426109
Position Surface form Disambiguated ID Type / Status
Subject Rural Health Care program E95212 entity
Predicate administersFundingMechanism P59 FINISHED
Object annual funding cap for Rural Health Care support 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: annual funding cap for Rural Health Care support | Statement: [Rural Health Care program, administersFundingMechanism, annual funding cap for Rural Health Care support]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: administersFundingMechanism
Context triple: [Rural Health Care program, administersFundingMechanism, annual funding cap for Rural Health Care support]
  • A. fundedBy
    Indicates that an entity receives financial support or resources from another entity.
  • B. funderOf
    Indicates that one entity provides financial support or funding for another entity, project, or activity.
  • C. fundingContext
    Indicates the circumstances, purpose, or conditions under which funding is provided or used in a given relationship or action.
  • D. fundingModel chosen
    Indicates how an entity is financially supported or sustained, such as through specific revenue sources, payment structures, or funding mechanisms.
  • E. funderType
    Indicates the category or kind of organization or individual that provides funding in the relationship.
  • 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_69b3453c2a0c8190926b574c90766db9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3554e40ec8190982acc0948da2f42 completed March 13, 2026, 12:07 a.m.
PD Predicate disambiguation batch_69b34f5eabe88190a12b244ea71e46d6 completed March 12, 2026, 11:42 p.m.
Created at: March 12, 2026, 11:30 p.m.