Triple

T13489296
Position Surface form Disambiguated ID Type / Status
Subject Berlin-Hermsdorf station E318590 entity
Predicate servedBy P82 FINISHED
Object S1 (Berlin S-Bahn line) E318589 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: S1 (Berlin S-Bahn line) | Statement: [Berlin-Hermsdorf station, servedBy, S1 (Berlin S-Bahn line)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: S1 (Berlin S-Bahn line)
Context triple: [Berlin-Hermsdorf station, servedBy, S1 (Berlin S-Bahn line)]
  • A. 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.
  • B. 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.
  • C. 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.
  • D. S42 (Berlin S-Bahn line)
    S42 is a circular Berlin S-Bahn line running clockwise around the city on the Ringbahn, connecting numerous districts and major interchange stations.
  • E. S7 Line
    The S7 Line is a suburban rapid transit line of the Nanjing Metro serving outlying districts to the south of Nanjing, China.
  • 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf3cbe2081908c6792362c67c8f1 completed April 12, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7463b758c8190abc0dd2a049d751e completed May 3, 2026, 12:57 p.m.
Created at: April 9, 2026, 9:43 p.m.