Triple

T23028163
Position Surface form Disambiguated ID Type / Status
Subject Lannesdorf E573380 entity
Predicate hasPublicTransportOperator P14525 FINISHED
Object SWB Bus und Bahn 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: SWB Bus und Bahn | Statement: [Lannesdorf, hasPublicTransportOperator, SWB Bus und Bahn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SWB Bus und Bahn
Context triple: [Lannesdorf, hasPublicTransportOperator, SWB Bus und Bahn]
  • A. SWB Bus und Bahn chosen
    SWB Bus und Bahn is the municipal public transport company of Bonn, Germany, operating the city’s buses and light rail services.
  • B. SL buses
    SL buses are the public bus services operating within the Stockholm County public transport network in Sweden.
  • C. SSB-Stadtbahn
    SSB-Stadtbahn is the light rail and tram network operated by Stuttgarter Straßenbahnen AG that serves Stuttgart and its surrounding metropolitan area in Germany.
  • D. SkyBus express bus
    SkyBus express bus is a dedicated airport shuttle service providing frequent, direct coach connections between Melbourne Airport and central Melbourne locations.
  • E. Wolfline bus system
    The Wolfline bus system is North Carolina State University's fare-free campus and community transit network serving students, faculty, and staff.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245b821008190b0e09cb02092aae1 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1847f453881909a8f2affb48c64f1 completed April 29, 2026, 4:09 a.m.
Created at: April 17, 2026, 3:52 p.m.