Triple

T3381273
Position Surface form Disambiguated ID Type / Status
Subject U6 E71188 entity
Predicate operatorAbbreviation P43 FINISHED
Object BVG
BVG is Berlin’s main public transport company, operating 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: [U6, operatorAbbreviation, BVG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BVG
Context triple: [U6, operatorAbbreviation, BVG]
  • A. VBG
    VBG is the abbreviated name of the German association of botanical gardens, Verband Botanischer Gärten e.V.
  • 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. 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.
  • D. GVB
    GVB is Amsterdam’s primary public transport company, operating the city’s trams, buses, metro, and ferries.
  • E. VABB
    VABB is the ICAO airport code for Chhatrapati Shivaji Maharaj International Airport, the primary international airport serving Mumbai, India.
  • 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: [U6, operatorAbbreviation, BVG]
Generated description
BVG is Berlin’s main public transport company, operating 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 Berlin’s main public transport company, operating the city’s U-Bahn, trams, buses, and ferries.
  • A. VBG
    VBG is the abbreviated name of the German association of botanical gardens, Verband Botanischer Gärten e.V.
  • 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. 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.
  • D. GVB
    GVB is Amsterdam’s primary public transport company, operating the city’s trams, buses, metro, and ferries.
  • E. VABB
    VABB is the ICAO airport code for Chhatrapati Shivaji Maharaj International Airport, the primary international airport serving Mumbai, India.
  • F. None of above. chosen

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_69ad85a7f80c8190a05e43013f298942 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb5e7c7f48190afb78c311b424c93 completed March 8, 2026, 5:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3344f9b448190aab1038ead60fa48 completed March 12, 2026, 9:46 p.m.
NEDg Description generation batch_69b338147cc0819095f00b28910e178a completed March 12, 2026, 10:03 p.m.
NED2 Entity disambiguation (via description) batch_69b338967c6c819090fe5f77bfa1978f completed March 12, 2026, 10:05 p.m.
Created at: March 8, 2026, 3:14 p.m.