Triple

T8329047
Position Surface form Disambiguated ID Type / Status
Subject Pakistan International Airlines E195028 entity
Predicate safetyRegulatoryIssues P31131 FINISHED
Object has faced EU airspace restrictions 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: has faced EU airspace restrictions | Statement: [Pakistan International Airlines, safetyRegulatoryIssues, has faced EU airspace restrictions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: safetyRegulatoryIssues
Context triple: [Pakistan International Airlines, safetyRegulatoryIssues, has faced EU airspace restrictions]
  • A. regulatoryIssues chosen
    Indicates that there are regulatory concerns, non-compliance, or potential violations associated with the related entity or activity.
  • B. regulationAtIssue
    Indicates that a specific regulation is the subject of concern, dispute, or analysis in the given context.
  • C. safetyRegulationEffect
    Indicates how a safety regulation influences or changes the conditions, behaviors, or outcomes associated with the regulated entities.
  • D. safetyRegulationChange
    Indicates a modification, update, or revision to existing safety regulations governing how something must be designed, operated, or managed.
  • E. hasSafetyRegulationCompliance
    Indicates that an entity adheres to, satisfies, or is in conformity with specified safety regulations or standards.
  • 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_69ca82e87f2c8190bdb71ee29dfc642d completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7fb812508190aed8a283dacf712e completed March 31, 2026, 8:03 a.m.
PD Predicate disambiguation batch_69cb70c3231c81909e3d463192c9de22 completed March 31, 2026, 6:59 a.m.
Created at: March 30, 2026, 5:56 p.m.