Triple

T4008423
Position Surface form Disambiguated ID Type / Status
Subject Südkreuz station E89582 entity
Predicate hasService P182 FINISHED
Object S-Bahn lines S26 E381324 NE FINISHED

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 S26 | Statement: [Südkreuz station, hasService, S-Bahn lines S26]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: S-Bahn lines S26
Context triple: [Südkreuz station, hasService, S-Bahn lines 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 (Munich S-Bahn)
    S-Bahn line S6 (Munich S-Bahn) is a suburban rail service in the Munich S-Bahn network that connects central Munich with outlying areas including Starnberg and surrounding communities.
  • D. S-Bahn line S1
    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.
  • E. S46 (Berlin S-Bahn line)
    S46 is a Berlin S-Bahn line that connects the southeastern suburbs with the southwestern parts of the city, running through key interchange stations across the network.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69aed9585e788190bec2d39deba3750f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefa647f80819081180eb267f1cfcc completed March 9, 2026, 4:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c6ae0ec819099c229a4cfe926f2 completed March 14, 2026, 11:54 a.m.
Created at: March 9, 2026, 3:34 p.m.