Triple

T8693708
Position Surface form Disambiguated ID Type / Status
Subject Rural Area Formula Program E206352 entity
Predicate fundingFormulaBasis P6447 FINISHED
Object rural population 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: rural population | Statement: [Rural Area Formula Program, fundingFormulaBasis, rural population]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fundingFormulaBasis
Context triple: [Rural Area Formula Program, fundingFormulaBasis, rural population]
  • A. calculationBasis chosen
    Indicates the rule, method, or reference standard used as the foundation for performing a calculation in the relationship.
  • B. fundingModel
    Indicates how an entity is financially supported or sustained, such as through specific revenue sources, payment structures, or funding mechanisms.
  • C. basisDefinition
    Indicates that one entity serves as the foundational explanation, principle, or justification upon which another entity is defined or established.
  • D. fareBasis
    Indicates the specific fare rule or pricing category that applies to a ticket or travel segment.
  • E. policyBasis
    Indicates that one entity serves as the foundational rationale, authority, or guiding principle upon which a policy or rule is established or justified.
  • 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_69ca835481fc819084e33d3bc883bfa6 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5826bbb48190a212fb1bb06e05e6 completed March 31, 2026, 11:26 p.m.
PD Predicate disambiguation batch_69cc4569f9048190b9c86b4c81103d35 completed March 31, 2026, 10:06 p.m.
Created at: March 30, 2026, 6:33 p.m.