Triple

T16732037
Position Surface form Disambiguated ID Type / Status
Subject S-Bahn line S2 (Berlin) E406614 entity
Predicate usesRailSystem P109578 FINISHED
Object S-Bahn E119085 NE FINISHED

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: S-Bahn | Statement: [S-Bahn line S2 (Berlin), usesRailSystem, S-Bahn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: S-Bahn
Context triple: [S-Bahn line S2 (Berlin), usesRailSystem, S-Bahn]
  • A. S-Bahn chosen
    The S-Bahn is a German urban and suburban rapid transit rail system that connects city centers with surrounding metropolitan regions.
  • B. S-Bahn Ringbahn
    The S-Bahn Ringbahn is Berlin’s circular urban rail line that loops around the inner city, connecting numerous districts and major transport hubs.
  • C. Berlin S-Bahn
    The Berlin S-Bahn is a rapid transit railway network serving Berlin and its surrounding areas, integrating suburban and urban rail services across the metropolitan region.
  • D. Rhine-Ruhr S-Bahn
    The Rhine-Ruhr S-Bahn is a regional rapid transit network serving the densely populated Rhine-Ruhr metropolitan area in western Germany, connecting major cities such as Duisburg, Düsseldorf, Essen, and Dortmund.
  • E. Hamburg S-Bahn
    The Hamburg S-Bahn is a rapid transit and commuter rail network serving the city of Hamburg and its surrounding metropolitan region in northern Germany.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesRailSystem
Context triple: [S-Bahn line S2 (Berlin), usesRailSystem, S-Bahn]
  • A. hasRailSystem
    Indicates that an entity possesses or is served by a rail-based transportation system.
  • B. usedByTransitSystem chosen
    Indicates that something is utilized or operated by a transit or public transportation system.
  • C. usesRailInfrastructureOf
    Indicates that one entity operates on, accesses, or otherwise makes use of the rail infrastructure owned or managed by another entity.
  • D. hasRailMode
    Indicates that an entity is associated with or supports transportation via rail-based modes (such as trains, trams, or subways).
  • E. hasRailRoute
    Indicates that there exists a rail-based transportation route or connection between the related entities.
  • F. None of above.

Provenance (4 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_69d8838f242881908abd8bc138795886 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e39c362bb88190921fab43d76c3ee8 completed April 18, 2026, 2:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a519a89081909456bb6fc25d9234 completed May 10, 2026, 3:32 p.m.
PD Predicate disambiguation batch_69e319c807788190901250ab6e0ca55f completed April 18, 2026, 5:42 a.m.
Created at: April 10, 2026, 5:20 a.m.