Triple

T3898029
Position Surface form Disambiguated ID Type / Status
Subject Verkehrs-Aktiengesellschaft Nürnberg E90417 entity
Predicate hasPublicTransportFunction P29465 FINISHED
Object operator 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: operator | Statement: [Verkehrs-Aktiengesellschaft Nürnberg, hasPublicTransportFunction, operator]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPublicTransportFunction
Context triple: [Verkehrs-Aktiengesellschaft Nürnberg, hasPublicTransportFunction, operator]
  • A. hasPublicTransitMode
    Indicates that a location, route, or service is associated with or supports a specific mode of public transportation (e.g., bus, train, tram).
  • B. hasPublicTransitRoute
    Indicates that there exists a public transportation route (such as a bus, train, or tram line) connecting or serving the related entities.
  • C. hasPublicTransitProvider
    Indicates that a place or region is served by a specific public transit operating organization or agency.
  • D. hasFormOfPublicTransit
    Indicates that one entity provides or is associated with a particular type or mode of public transportation for another entity or context.
  • E. hasPublicTransitRole chosen
    Indicates that an entity holds a specific functional role or responsibility within a public transit system.
  • 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_69aed95d315881908cbf1bf4a7215fbf completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef1abe2dc81909c18aeae9b286898 completed March 9, 2026, 4:13 p.m.
PD Predicate disambiguation batch_69aee75b5b808190a348a31b1325d3d0 completed March 9, 2026, 3:29 p.m.
Created at: March 9, 2026, 3:21 p.m.