Triple

T13961035
Position Surface form Disambiguated ID Type / Status
Subject Statutory Pay-As-You-Go Act of 2010 E335790 entity
Predicate sequestrationAppliesTo P1129 FINISHED
Object non-exempt mandatory spending 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: non-exempt mandatory spending programs | Statement: [Statutory Pay-As-You-Go Act of 2010, sequestrationAppliesTo, non-exempt mandatory spending programs]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: sequestrationAppliesTo
Context triple: [Statutory Pay-As-You-Go Act of 2010, sequestrationAppliesTo, non-exempt mandatory spending programs]
  • A. appliesTo chosen
    Indicates that something is relevant, valid, or has effect in relation to a particular entity, case, or context.
  • B. authorizedAppropriations
    Indicates that a governing body has formally approved the allocation of funds for a specific purpose or activity.
  • C. isSubjectTo
    Indicates that one entity is governed, affected, or constrained by the authority, rules, conditions, or influence of another entity.
  • D. appliesToPolicy
    Indicates that something is relevant or applicable to a particular policy.
  • E. eligibleUses
    Indicates the types of actions, purposes, or contexts in which something is permitted or qualified to be used.
  • 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_69d81c61f3508190aaf2ca0dc0002c59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e7b2f908190aa32f22298964746 completed April 14, 2026, 12:09 p.m.
PD Predicate disambiguation batch_69de05a3ccf88190b45c742db483fa08 completed April 14, 2026, 9:15 a.m.
Created at: April 9, 2026, 10:17 p.m.