Triple

T20787836
Position Surface form Disambiguated ID Type / Status
Subject Bergen auf Rügen railway station E511687 entity
Predicate operator P179 FINISHED
Object DB Station&Service 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: DB Station&Service | Statement: [Bergen auf Rügen railway station, operator, DB Station&Service]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DB Station&Service
Context triple: [Bergen auf Rügen railway station, operator, DB Station&Service]
  • A. DB Station&Service chosen
    DB Station&Service is a subsidiary of Deutsche Bahn responsible for managing and operating railway stations across Germany.
  • B. NS Stations
    NS Stations is a Dutch company responsible for managing and developing railway stations and related facilities across the Netherlands.
  • C. Central station
    Central station is a major Mass Transit Railway (MTR) interchange and one of the busiest transport hubs on Hong Kong Island, connecting multiple urban rail lines and pedestrian networks.
  • D. Central station
    Central station is a major railway hub providing key train connections for travelers to and from Cambridge city center.
  • E. Central station
    Central station is a key Massachusetts Bay Transportation Authority (MBTA) subway stop on the Red Line located in Cambridge, Massachusetts, serving the Central Square area.
  • 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_69e0b4cb83948190bd57bec21d78ed53 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c28d24708190bf3890a22d1ec4b7 completed April 21, 2026, 12:19 a.m.
Created at: April 16, 2026, 12:38 p.m.