Triple

T17826548
Position Surface form Disambiguated ID Type / Status
Subject Wilhelmsruh E445131 entity
Predicate hasPublicTransport P1288 FINISHED
Object S-Bahn line S1 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: S-Bahn line S1 | Statement: [Wilhelmsruh, hasPublicTransport, S-Bahn line S1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: S-Bahn line S1
Context triple: [Wilhelmsruh, hasPublicTransport, S-Bahn line S1]
  • A. S-Bahn line S1 chosen
    S-Bahn line S1 is a commuter rail service in the Berlin S-Bahn network that connects central Berlin with its northern and southwestern suburbs.
  • B. S1 (Munich S-Bahn)
    S1 (Munich S-Bahn) is a suburban railway line in the Munich S-Bahn network that connects central Munich with Munich Airport and surrounding areas.
  • C. Hamburg S-Bahn line S1
    Hamburg S-Bahn line S1 is a rapid transit railway line in Hamburg’s suburban rail network that provides direct service between the city center and Hamburg Airport, among other destinations.
  • D. S-Bahn line S6
    S-Bahn line S6 is a regional suburban rail service in Germany’s Rhine-Ruhr network, connecting cities such as Essen and Düsseldorf and serving areas around Lake Baldeney (Baldeneysee).
  • E. S7 line
    The S7 line is a Berlin S-Bahn railway service that runs east–west across the city, connecting key districts and suburbs as part of the German capital’s urban transit network.
  • 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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48914e20481908883d1da194f446c completed April 19, 2026, 7:49 a.m.
Created at: April 10, 2026, 10:15 a.m.