Triple

T7629404
Position Surface form Disambiguated ID Type / Status
Subject Vervoerregio Amsterdam E172721 entity
Predicate abbreviation P43 FINISHED
Object VRA
VRA is the regional public transport authority responsible for planning and coordinating mobility and infrastructure in the Amsterdam metropolitan area.
 E678742 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: VRA | Statement: [Vervoerregio Amsterdam, abbreviation, VRA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: VRA
Context triple: [Vervoerregio Amsterdam, abbreviation, VRA]
  • A. VRA
    VRA is the common abbreviation for the landmark U.S. federal law enacted in 1965 to prohibit racial discrimination in voting.
  • B. VIR
    VIR is the ICAO airline designator used to identify Virgin Atlantic in international aviation operations.
  • C. VRC
    VRC is the commonly used abbreviation for the Victoria Racing Club, the principal horse racing club based at Flemington Racecourse in Melbourne, Australia.
  • D. Vari
    Vari is a settlement on the Greek island of Syros, known for its coastal location and beaches in the Cyclades.
  • E. VEVRAA
    VEVRAA is a U.S. federal law that requires certain federal contractors and subcontractors to take affirmative action to employ and advance qualified protected veterans.
  • 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: VRA
Triple: [Vervoerregio Amsterdam, abbreviation, VRA]
Generated description
VRA is the regional public transport authority responsible for planning and coordinating mobility and infrastructure in the Amsterdam metropolitan area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: VRA
Target entity description: VRA is the regional public transport authority responsible for planning and coordinating mobility and infrastructure in the Amsterdam metropolitan area.
  • A. VRA
    VRA is the common abbreviation for the landmark U.S. federal law enacted in 1965 to prohibit racial discrimination in voting.
  • B. VIR
    VIR is the ICAO airline designator used to identify Virgin Atlantic in international aviation operations.
  • C. VRC
    VRC is the commonly used abbreviation for the Victoria Racing Club, the principal horse racing club based at Flemington Racecourse in Melbourne, Australia.
  • D. Vari
    Vari is a settlement on the Greek island of Syros, known for its coastal location and beaches in the Cyclades.
  • E. VEVRAA
    VEVRAA is a U.S. federal law that requires certain federal contractors and subcontractors to take affirmative action to employ and advance qualified protected veterans.
  • 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_69c699517e348190bd3348b6889200f2 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa84adb08190885138fc9b908ebf completed March 27, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69c870af222481909e341eebb78664d6 completed March 29, 2026, 12:22 a.m.
NEDg Description generation batch_69c8723391f48190b60ba8952c9ccca7 completed March 29, 2026, 12:28 a.m.
NED2 Entity disambiguation (via description) batch_69c87401aaa48190b3e44298fcd3f37f completed March 29, 2026, 12:36 a.m.
Created at: March 27, 2026, 3:56 p.m.