Triple

T37693325
Position Surface form Disambiguated ID Type / Status
Subject City Air Terminal Betriebsgesellschaft m.b.H. E938863 entity
Predicate routeOperated P70721 FINISHED
Object Vienna city centre – Vienna International Airport NE NERFINISHED

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: Vienna city centre – Vienna International Airport | Statement: [City Air Terminal Betriebsgesellschaft m.b.H., routeOperated, Vienna city centre – Vienna International Airport]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: routeOperated
Context triple: [City Air Terminal Betriebsgesellschaft m.b.H., routeOperated, Vienna city centre – Vienna International Airport]
  • A. operatedRoutes chosen
    Indicates that an agent (such as a company or organization) runs or manages specific routes, typically providing services along those paths.
  • B. operatedOnRoute
    Indicates that a transportation service or vehicle was active and provided service along a specified route.
  • C. routeOperator
    Indicates that an agent operates, manages, or is responsible for running a particular route or service path.
  • D. oftenOperatedBy
    Indicates that an entity is frequently or typically operated, controlled, or run by another entity.
  • E. tramOperator
    Indicates that one entity operates, manages, or runs tram services for another entity or area.
  • 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_69f76eda6ae48190b3111071eeacc038 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fbb084760c8190a1554985d3c3cb7a completed May 6, 2026, 9:20 p.m.
PD Predicate disambiguation batch_69fbadf3cb548190ba3b7514f76b790a completed May 6, 2026, 9:09 p.m.
Created at: May 3, 2026, 4:18 p.m.