Triple

T7139772
Position Surface form Disambiguated ID Type / Status
Subject Bornholmer Strasse S-Bahn station E166410 entity
Predicate fareZone P844 FINISHED
Object VBB Berlin A E312736 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: VBB Berlin A | Statement: [Bornholmer Strasse S-Bahn station, fareZone, VBB Berlin A]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VBB Berlin A
Context triple: [Bornholmer Strasse S-Bahn station, fareZone, VBB Berlin A]
  • 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. BVB
    BVB is the public transport company that operates much of the tram and bus network in Basel, Switzerland.
  • C. 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.
  • D. 1. FC Union Berlin
    1. FC Union Berlin is a professional German football club from Berlin known for its passionate fan base and rapid rise to the Bundesliga and European competitions.
  • E. MTU München
    MTU München was the original company from which MTU Aero Engines emerged, serving as a key German manufacturer in the aerospace and engine industry.
  • 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_69c6888579d481909e05a8d6b81bf733 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e7775e408190b880abde0a3f8d12 completed March 27, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a34b99048190a8e77cd0fe253611 completed March 28, 2026, 9:45 a.m.
Created at: March 27, 2026, 2:45 p.m.