Triple

T8693719
Position Surface form Disambiguated ID Type / Status
Subject Rural Area Formula Program E206352 entity
Predicate regulatesUseOfFunds P48625 FINISHED
Object capital expenses 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: capital expenses | Statement: [Rural Area Formula Program, regulatesUseOfFunds, capital expenses]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: regulatesUseOfFunds
Context triple: [Rural Area Formula Program, regulatesUseOfFunds, capital expenses]
  • A. fundingOversight chosen
    Indicates that one entity is responsible for monitoring, regulating, or supervising the use and allocation of funds provided to another entity.
  • B. usedFund
    Indicates that one entity expended or applied a particular fund or financial resource for some purpose.
  • C. regulatesUse
    Indicates that one entity controls, governs, or sets rules for how another entity may be used.
  • D. authorizedAppropriations
    Indicates that a governing body has formally approved the allocation of funds for a specific purpose or activity.
  • E. budgetAuthority
    Indicates that an entity has the formal power or authorization to allocate, commit, or control the use of financial resources for another entity or activity.
  • 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.