Triple

T930201
Position Surface form Disambiguated ID Type / Status
Subject Consolidated Appropriations Act, 2023 E20073 entity
Predicate containsSpendingFor P20937 FINISHED
Object defense programs 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: defense programs | Statement: [Consolidated Appropriations Act, 2023, containsSpendingFor, defense programs]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: containsSpendingFor
Context triple: [Consolidated Appropriations Act, 2023, containsSpendingFor, defense programs]
  • A. authorizedSpending
    Indicates that an entity has been granted permission to spend or allocate a specified amount of resources, typically funds, under defined conditions.
  • B. hasMonetaryComponent chosen
    Indicates that something includes, involves, or is associated with a monetary or financial element.
  • C. moneyBillsRestriction
    Indicates a limitation or control placed on the use, amount, or handling of money bills in a given context.
  • D. hasCharge
    Indicates that an entity possesses a specific electrical or formal charge, such as positive, negative, or neutral.
  • E. requiresPaymentOf
    Indicates that one entity obligates another entity to provide a specified payment as a condition or requirement.
  • 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_69a493af3dc48190adb7263e6e445ea1 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b349b3d0819090c58b4fb60c6a1b completed March 1, 2026, 9:44 p.m.
PD Predicate disambiguation batch_69a4b29876348190a29f4ff9878074a5 completed March 1, 2026, 9:41 p.m.
Created at: March 1, 2026, 7:40 p.m.