Triple

T28418925
Position Surface form Disambiguated ID Type / Status
Subject Löfven Cabinet I E719886 entity
Predicate budgetCrisis P150516 FINISHED
Object 2014 Swedish government crisis 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: 2014 Swedish government crisis | Statement: [Löfven Cabinet I, budgetCrisis, 2014 Swedish government crisis]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: budgetCrisis
Context triple: [Löfven Cabinet I, budgetCrisis, 2014 Swedish government crisis]
  • A. budgetDefeat chosen
    Indicates that a proposed budget has been rejected or failed to pass in a decision-making process.
  • B. budget
    Indicates that an entity allocates, plans, or assigns specific financial resources for another entity, activity, or time period.
  • C. budgetaryEffect
    Indicates the financial impact or change in budget resulting from a particular action, decision, or policy.
  • D. majorCrisis
    Indicates a severe, high-impact crisis or emergency situation affecting an entity or system.
  • E. budgetFunction
    Indicates a relationship where a specific budgeting rule or formula determines how resources or funds are allocated or constrained for an 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_69eff6f1c5088190bc24bfbf92f9c017 completed April 27, 2026, 11:53 p.m.
NER Named-entity recognition batch_69f64e37f7fc819083809149b6661e3c completed May 2, 2026, 7:19 p.m.
PD Predicate disambiguation batch_69f64caede108190a35cc7cbfead866f completed May 2, 2026, 7:12 p.m.
Created at: April 28, 2026, 1:32 a.m.