Triple

T4008425
Position Surface form Disambiguated ID Type / Status
Subject Südkreuz station E89582 entity
Predicate hasService P182 FINISHED
Object S-Bahn ring lines S42 E397967 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 ring lines S42 | Statement: [Südkreuz station, hasService, S-Bahn ring lines S42]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: S-Bahn ring lines S42
Context triple: [Südkreuz station, hasService, S-Bahn ring lines S42]
  • A. S42 (Berlin S-Bahn line) chosen
    S42 is a circular Berlin S-Bahn line running clockwise around the city on the Ringbahn, connecting numerous districts and major interchange stations.
  • B. 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.
  • C. 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.
  • D. S41 (Berlin S-Bahn line)
    S41 is a circular Berlin S-Bahn line that runs clockwise around the city on the Ringbahn, connecting numerous districts and major interchange stations.
  • E. S47 (Berlin S-Bahn line)
    S47 is a Berlin S-Bahn line that operates in the southeastern part of the city, connecting residential districts with key interchange stations on the urban rail 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_69b55626f19c8190af4705b1cd3b201d completed March 14, 2026, 12:35 p.m.
Created at: March 9, 2026, 3:34 p.m.