Triple

T13113860
Position Surface form Disambiguated ID Type / Status
Subject Panketal E311041 entity
Predicate servedBy P82 FINISHED
Object Berlin S-Bahn line S2 E603712 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: Berlin S-Bahn line S2 | Statement: [Panketal, servedBy, Berlin S-Bahn line S2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Berlin S-Bahn line S2
Context triple: [Panketal, servedBy, Berlin S-Bahn line S2]
  • A. Berlin S-Bahn line S2 chosen
    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.
  • B. 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.
  • C. Hamburg S-Bahn line S2
    Hamburg S-Bahn line S2 is a suburban railway line in Hamburg, Germany, operating as part of the city’s rapid transit S-Bahn network.
  • D. Berlin S-Bahn line S8
    Berlin S-Bahn line S8 is a suburban railway service in Berlin that runs north–south across the city as part of the wider S-Bahn rapid transit network.
  • E. Berlin S-Bahn line S9
    Berlin S-Bahn line S9 is a suburban rail service in Berlin that connects the city center with Berlin Brandenburg Airport and other eastern and western districts as part of the S-Bahn 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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9817f8ee8819084078b4bec5e4f18 completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e27f5c4481909bc323c9d0c83dc9 completed May 3, 2026, 5:51 a.m.
Created at: April 9, 2026, 9:06 p.m.