Triple

T13161516
Position Surface form Disambiguated ID Type / Status
Subject VBB: Berlin AB E312736 entity
Predicate operatorNetwork P5623 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: [VBB: Berlin AB, operatorNetwork, BVG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BVG
Context triple: [VBB: Berlin AB, operatorNetwork, 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_69d806ac3ee081909b2fd27d060aa974 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c0a9d348190909fcf45f9d650e4 completed April 10, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eaf2ae688190b3484989791977ce completed May 3, 2026, 6:28 a.m.
Created at: April 9, 2026, 9:12 p.m.