Triple

T13088240
Position Surface form Disambiguated ID Type / Status
Subject Malév Hungarian Airlines E310391 entity
Predicate regulatorDecisionImpact P69525 FINISHED
Object ordered repayment of illegal state aid 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: ordered repayment of illegal state aid | Statement: [Malév Hungarian Airlines, regulatorDecisionImpact, ordered repayment of illegal state aid]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: regulatorDecisionImpact
Context triple: [Malév Hungarian Airlines, regulatorDecisionImpact, ordered repayment of illegal state aid]
  • A. regulationImpact
    Indicates how a regulation influences, constrains, or alters the behavior, performance, or outcomes associated with the related entities.
  • B. recognizesImpactOn
    Indicates that one entity acknowledges or understands the effect or consequences it has on another entity or situation.
  • C. hasImpactScale
    Indicates the degree or magnitude of impact that one entity or action has on another, typically expressed along a defined scale.
  • D. regulatorAction chosen
    Indicates an action taken by a regulatory authority toward an entity, such as enforcing rules, issuing directives, or applying sanctions.
  • E. regulatorEstablished
    Indicates that an entity has formally created, instituted, or set up a regulatory body or authority.
  • 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d981378dd08190b4f00e4e5df0e480 completed April 10, 2026, 11:01 p.m.
PD Predicate disambiguation batch_69d9803f6c508190bfadfbc2d00c2c64 completed April 10, 2026, 10:57 p.m.
Created at: April 9, 2026, 9:02 p.m.