Triple

T6842937
Position Surface form Disambiguated ID Type / Status
Subject Wittenau E157817 entity
Predicate hasPublicTransportOperator P14525 FINISHED
Object BVG E353639 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: BVG | Statement: [Wittenau, hasPublicTransportOperator, BVG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BVG
Context triple: [Wittenau, hasPublicTransportOperator, BVG]
  • A. BVG chosen
    BVG is Berlin’s main public transport company, operating the city’s U-Bahn, trams, buses, and ferries.
  • B. BVG Projekt GmbH
    BVG Projekt GmbH is a subsidiary company of Berlin’s public transport operator that specializes in planning and managing infrastructure and development projects for the city’s transit network.
  • C. BMVg
    BMVg is the commonly used abbreviation for Germany’s Federal Ministry of Defence, the government department responsible for the country’s military and defense policy.
  • D. VBG
    VBG is the abbreviated name of the German association of botanical gardens, Verband Botanischer Gärten e.V.
  • E. B-VG
    B-VG is the commonly used abbreviation for Austria’s Federal Constitutional Law, which forms the core of the country’s constitutional framework.
  • 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_69c6882ed4c081909dc465a7cf8838be completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d6b7179481909e3482fef47b2719 completed March 27, 2026, 7:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72fb9a8c08190993807f1a4c54184 completed March 28, 2026, 1:32 a.m.
Created at: March 27, 2026, 2:19 p.m.