Triple

T17826549
Position Surface form Disambiguated ID Type / Status
Subject Wilhelmsruh E445131 entity
Predicate hasPublicTransport P1288 FINISHED
Object S-Bahn line S26 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 S26 | Statement: [Wilhelmsruh, hasPublicTransport, S-Bahn line S26]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: S-Bahn line S26
Context triple: [Wilhelmsruh, hasPublicTransport, S-Bahn line S26]
  • A. S-Bahn line S26 chosen
    S-Bahn line S26 is a suburban railway service in Berlin’s S-Bahn network that connects northern residential districts like Waidmannslust with central parts of the city.
  • B. S-Bahn line S25
    S-Bahn line S25 is a Berlin rapid transit route that connects the northern district of Heiligensee with central and southern parts of the city.
  • C. 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).
  • D. S-Bahn lines S2
    S-Bahn lines S2 is a Berlin suburban rail route that connects key districts across the city and serves major hubs such as Südkreuz station.
  • E. S26 line
    The S26 line is a route of the Berlin S-Bahn urban rail network serving parts of the German capital and its surrounding areas.
  • 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.