Triple

T18968973
Position Surface form Disambiguated ID Type / Status
Subject Berlin Nikolassee station E464114 entity
Predicate fareZone P844 FINISHED
Object VBB Berlin B — NE NERFINISHED

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: VBB Berlin B | Statement: [Berlin Nikolassee station, fareZone, VBB Berlin B]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: VBB Berlin B
Context triple: [Berlin Nikolassee station, fareZone, VBB Berlin B]
  • A. VBB: Berlin AB chosen
    VBB: Berlin AB is the central fare zone of Berlin’s public transport network, covering the inner city area served by buses, trams, U-Bahn, and S-Bahn.
  • B. VBB
    VBB is the public transport authority and fare network that coordinates and integrates regional and urban transit services across Berlin and the surrounding Brandenburg region.
  • C. BVG H series
    The BVG H series is a class of modern wide-profile electric multiple unit trains used on Berlin’s U-Bahn network.
  • D. 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.
  • E. Type V (Vienna U-Bahn rolling stock)
    Type V is a modern generation of electric multiple-unit trains used on the Vienna U-Bahn, featuring air-conditioned, walk-through carriages and advanced passenger information systems.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8dcffc278819086792a4ebfddfafa completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d618e2ec8190848a41733e6db2f1 completed April 20, 2026, 7:30 a.m.
Created at: April 10, 2026, noon