Triple

T19335342
Position Surface form Disambiguated ID Type / Status
Subject Vogelsbergkreis E483606 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object VB
VB is the vehicle registration code used on license plates for the Vogelsbergkreis district in the German state of Hesse.
E1370430 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: VB | Statement: [Vogelsbergkreis, vehicleRegistrationCode, VB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VB
Context triple: [Vogelsbergkreis, vehicleRegistrationCode, VB]
  • A. VB
    VB is the IATA airline designator used by Viva Aerobus, a Mexican low-cost carrier.
  • B. VB
    VB is the provincial code for the Province of Verbano-Cusio-Ossola in the Piedmont region of northern Italy.
  • C. VB
    VB is the station code for La Villa-Basílica, a metro station serving the area near the Basilica of Our Lady of Guadalupe in Mexico City.
  • D. Visual Basic
    Visual Basic is an event-driven programming language and integrated development environment (IDE) from Microsoft, widely used for building Windows applications with a relatively simple, BASIC-derived syntax.
  • E. Visual Basic .NET
    Visual Basic .NET is an object-oriented programming language developed by Microsoft for the .NET framework, designed to be easy to learn and tightly integrated with Windows application development.
  • 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: VB
Triple: [Vogelsbergkreis, vehicleRegistrationCode, VB]
Generated description
VB is the vehicle registration code used on license plates for the Vogelsbergkreis district in the German state of Hesse.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: VB
Target entity description: VB is the vehicle registration code used on license plates for the Vogelsbergkreis district in the German state of Hesse.
  • A. VB
    VB is the IATA airline designator used by Viva Aerobus, a Mexican low-cost carrier.
  • B. VB
    VB is the provincial code for the Province of Verbano-Cusio-Ossola in the Piedmont region of northern Italy.
  • C. VB
    VB is the station code for La Villa-Basílica, a metro station serving the area near the Basilica of Our Lady of Guadalupe in Mexico City.
  • D. Visual Basic
    Visual Basic is an event-driven programming language and integrated development environment (IDE) from Microsoft, widely used for building Windows applications with a relatively simple, BASIC-derived syntax.
  • E. Visual Basic .NET
    Visual Basic .NET is an object-oriented programming language developed by Microsoft for the .NET framework, designed to be easy to learn and tightly integrated with Windows application development.
  • 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_69d8e8d13e3c81909d91d1d5ec37c095 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e61644b80c819080f9bca086424a36 completed April 20, 2026, 12:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a071be4ca388190986a61eb535df4bd completed May 15, 2026, 1:13 p.m.
NEDg Description generation batch_6a071ca19f308190ac9072c5a8d3b665 completed May 15, 2026, 1:16 p.m.
NED2 Entity disambiguation (via description) batch_6a071de4a7688190a7114a7eec39fd8f completed May 15, 2026, 1:21 p.m.
Created at: April 10, 2026, 1:33 p.m.