Triple

T17385655
Position Surface form Disambiguated ID Type / Status
Subject 2013 United States federal government shutdown E422680 entity
Predicate typeOfAppropriationsFailure P80598 FINISHED
Object failure to enact a continuing resolution 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: failure to enact a continuing resolution | Statement: [2013 United States federal government shutdown, typeOfAppropriationsFailure, failure to enact a continuing resolution]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typeOfAppropriationsFailure
Context triple: [2013 United States federal government shutdown, typeOfAppropriationsFailure, failure to enact a continuing resolution]
  • A. authorizedAppropriations
    Indicates that a governing body has formally approved the allocation of funds for a specific purpose or activity.
  • B. receivesAppropriations
    Indicates that one entity obtains or is allocated funding or resources through formal appropriations from another entity or authority.
  • C. typeOfFailure chosen
    Indicates the specific kind or category of failure that occurred in relation to an entity or process.
  • D. failsTo
    Indicates that an expected action, process, or condition does not successfully occur or is not fulfilled.
  • E. misappliedAs
    Indicates that something has been used, interpreted, or assigned in an incorrect, inappropriate, or unintended way.
  • 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_69d889d710288190bf0f4762801fefae completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a89c5008190a277a68e5cfe67b7 completed April 19, 2026, 2:14 a.m.
PD Predicate disambiguation batch_69e3b02ac8688190a7182f1b2151d721 completed April 18, 2026, 4:24 p.m.
Created at: April 10, 2026, 5:45 a.m.