Triple

T21832775
Position Surface form Disambiguated ID Type / Status
Subject Basel S-Bahn E539039 entity
Predicate hasLine P35 FINISHED
Object S3 — NE NERFINISHED

How this triple was built (3 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: S3 | Statement: [Basel S-Bahn, hasLine, S3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: S3
Context triple: [Basel S-Bahn, hasLine, S3]
  • A. S3
    S3 is a commuter rail line of the Stuttgart S-Bahn network in Germany, connecting the city center with surrounding suburban areas.
  • B. S3
    S3 is one of the commuter rail lines of the Nuremberg S-Bahn network in Germany, serving regional passenger traffic between the city and its surrounding areas.
  • C. S3
    S3 is a commuter rail line within Germany’s Rhine-Ruhr S-Bahn network, serving regional passenger traffic across the metropolitan area.
  • D. S3
    S3 is a regional S-Bahn train line in the Rhine-Main area of Germany that connects central Frankfurt with surrounding suburbs and towns.
  • E. S3
    S3 is a bus service operated by Stagecoach in Oxfordshire, providing public transport connections in the Oxfordshire region.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: S3
Target entity description: S3 is a regional commuter rail line that forms part of the Basel S-Bahn network, connecting Basel with surrounding towns in the trinational border area.
  • A. S3
    S3 is a regional S-Bahn train line in the Rhine-Main area of Germany that connects central Frankfurt with surrounding suburbs and towns.
  • B. S3
    S3 is a commuter rail line of the Stuttgart S-Bahn network in Germany, connecting the city center with surrounding suburban areas.
  • C. S3
    S3 is a commuter rail line within Germany’s Rhine-Ruhr S-Bahn network, serving regional passenger traffic across the metropolitan area.
  • D. S3
    S3 is one of the commuter rail lines of the Nuremberg S-Bahn network in Germany, serving regional passenger traffic between the city and its surrounding areas.
  • E. S3
    S3 is a line of the Berlin S-Bahn urban rail network that connects various districts across the Berlin metropolitan area.
  • F. None of above. chosen

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_69e0c475cda88190987d08f23caebdc1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0a7a4d2d0819088ded045caeab52d completed April 28, 2026, 12:27 p.m.
Created at: April 16, 2026, 6:55 p.m.