Triple

T23520034
Position Surface form Disambiguated ID Type / Status
Subject Okay Airways E574477 entity
Predicate parentCountryRegulation P38075 FINISHED
Object Chinese civil aviation law 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: Chinese civil aviation law | Statement: [Okay Airways, parentCountryRegulation, Chinese civil aviation law]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: parentCountryRegulation
Context triple: [Okay Airways, parentCountryRegulation, Chinese civil aviation law]
  • A. countryAccessRegulatedBy
    Indicates that access to a country is controlled, restricted, or governed by a specified authority, policy, or regulatory mechanism.
  • B. regulatorCountry chosen
    Indicates the country that has regulatory authority or oversight over the referenced entity or activity.
  • C. hasRegulations
    Indicates that one entity imposes, contains, or is associated with rules or regulatory requirements that govern the behavior or operation of another entity.
  • D. countryJurisdiction
    Indicates that one country has legal authority, control, or governing power over a specified territory, entity, or matter.
  • E. countryOfImplementation
    Indicates the country where an action, project, policy, or measure is actually carried out or put into effect.
  • 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_69e245bb3dcc8190ba9a2b35972b58d0 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1aa85cb2c81908afbd0df0caeef4d completed April 29, 2026, 6:51 a.m.
PD Predicate disambiguation batch_69f06213e8c48190b52a7789fb91e02d completed April 28, 2026, 7:30 a.m.
Created at: April 17, 2026, 6:08 p.m.