Triple

T12191755
Position Surface form Disambiguated ID Type / Status
Subject Stellingen station E290479 entity
Predicate primaryUseForVisitors P43099 FINISHED
Object access to events at Volksparkstadion 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: access to events at Volksparkstadion | Statement: [Stellingen station, primaryUseForVisitors, access to events at Volksparkstadion]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primaryUseForVisitors
Context triple: [Stellingen station, primaryUseForVisitors, access to events at Volksparkstadion]
  • A. primaryVisitors
    Indicates that certain entities are the main or most important visitors associated with another entity or context.
  • B. visitorUse chosen
    Indicates that an entity is being used, accessed, or engaged with by a visitor or temporary user.
  • C. visitorCenter
    Indicates that a location serves as a visitor center for a place, providing information or services to visitors of that place.
  • D. visitorInformation
    Indicates that information or details are provided for or about visitors in relation to a particular place, service, or event.
  • E. immigrationStationPrimaryUse
    Indicates that a particular immigration station is primarily used for a specified main function or purpose within immigration processing or control.
  • 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_69d6ab64de5881908d56eb7a75c6cc69 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d938cd2edc8190b1971349dbc0dee0 completed April 10, 2026, 5:52 p.m.
PD Predicate disambiguation batch_69d91c38321c819080d500d0d64a04f6 completed April 10, 2026, 3:50 p.m.
Created at: April 8, 2026, 9:50 p.m.