Triple

T7639167
Position Surface form Disambiguated ID Type / Status
Subject Katowice Airport E172954 entity
Predicate belongsToTransportNetwork P74437 FINISHED
Object Polish airport network 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: Polish airport network | Statement: [Katowice Airport, belongsToTransportNetwork, Polish airport network]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: belongsToTransportNetwork
Context triple: [Katowice Airport, belongsToTransportNetwork, Polish airport network]
  • A. isInTransportNetwork chosen
    Indicates that an entity is part of, connected to, or contained within a specific transport network or system.
  • B. hasTransportationRelation
    Indicates a relationship in which one entity provides, uses, is connected by, or is otherwise associated with a means or mode of transportation to another entity or location.
  • C. associatedWithRouteNetwork
    Indicates a relationship where something is linked or connected to a specific route network.
  • D. isPublicTransportBackboneOf
    Indicates that one transport system serves as the primary structural and functional core of a region’s overall public transportation network.
  • E. belongsToUrbanCorridor
    Indicates that something is part of, contained within, or functionally integrated into a continuous urban corridor or urbanized 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_69c69952849881908fdcea7a93bfc307 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6facc4b5481908697e662b0991e3f completed March 27, 2026, 9:46 p.m.
PD Predicate disambiguation batch_69c6f4e8cadc8190b7977fcd213954dd completed March 27, 2026, 9:21 p.m.
Created at: March 27, 2026, 3:57 p.m.