Triple

T3417057
Position Surface form Disambiguated ID Type / Status
Subject Borsigwerke E72033 entity
Predicate abbreviation P43 FINISHED
Object BVG
BVG is the main public transport operator in Berlin, Germany, running the city's U-Bahn, trams, buses, and ferries.
 E353639 NE FINISHED

How this triple was built (4 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: [Borsigwerke, abbreviation, BVG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BVG
Context triple: [Borsigwerke, abbreviation, BVG]
  • A. BVG
    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. VBG
    VBG is the abbreviated name of the German association of botanical gardens, Verband Botanischer Gärten e.V.
  • D. 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.
  • E. VBB: Berlin AB
    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.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: BVG
Triple: [Borsigwerke, abbreviation, BVG]
Generated description
BVG is the main public transport operator in Berlin, Germany, running the city's U-Bahn, trams, buses, and ferries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BVG
Target entity description: BVG is the main public transport operator in Berlin, Germany, running the city's U-Bahn, trams, buses, and ferries.
  • 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. VBG
    VBG is the abbreviated name of the German association of botanical gardens, Verband Botanischer Gärten e.V.
  • D. 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.
  • E. VBB: Berlin AB
    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.
  • F. None of above.

Provenance (5 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_69ad85ad38e48190b7660c5118a35289 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb92c20fc81909b5debced20ec083 completed March 8, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69b367f369248190b411098b5654b8ad completed March 13, 2026, 1:27 a.m.
NEDg Description generation batch_69b36894e0c481909aea658b9c720df0 completed March 13, 2026, 1:29 a.m.
NED2 Entity disambiguation (via description) batch_69b3691925bc8190a0e39b55883e2d32 completed March 13, 2026, 1:32 a.m.
Created at: March 8, 2026, 3:15 p.m.