Triple

T23304908
Position Surface form Disambiguated ID Type / Status
Subject Südkreuz E590407 entity
Predicate hasService P182 FINISHED
Object S-Bahn lines S2 — 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 lines S2 | Statement: [Südkreuz, hasService, S-Bahn lines S2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: S-Bahn lines S2
Context triple: [Südkreuz, hasService, S-Bahn lines S2]
  • A. S-Bahn lines S2 chosen
    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.
  • B. S-Bahn line S26
    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.
  • C. 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.
  • D. Berlin S-Bahn line S2
    Berlin S-Bahn line S2 is a rapid transit route in Berlin’s S-Bahn network that runs north–south across the city, connecting suburban areas with central Berlin.
  • E. Frankfurt S-Bahn line S2
    Frankfurt S-Bahn line S2 is a suburban rail service in the Rhine-Main S-Bahn network that connects various districts and surrounding towns with central Frankfurt.
  • 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_69e25d1c0ecc8190a355aa229f06d0e0 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19725b248819089e61efb82e3440f completed April 29, 2026, 5:29 a.m.
Created at: April 17, 2026, 5:04 p.m.