Triple

T8954805
Position Surface form Disambiguated ID Type / Status
Subject Anklam E213445 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object VG
VG is the vehicle registration code used on license plates for the district of Vorpommern-Greifswald in the German state of Mecklenburg-Vorpommern.
 E768100 NE FINISHED

Named-entity recognition

Before disambiguation, gpt-5-mini classified whether the object phrase is a named entity — the step behind the object's NE type shown above.

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: VG | Statement: [Anklam, vehicleRegistrationCode, VG]

Disambiguation candidates (2 decisions)

The exact options the model was shown at each disambiguation step, with the option it chose highlighted — the evidence behind this triple's disambiguated ids.

NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: VG
Context triple: [Anklam, vehicleRegistrationCode, VG]
  • A. VG
    VG is the two-letter ISO 3166 country code assigned to the British Virgin Islands.
  • B. VG
    VG is a major Norwegian newspaper and online news outlet known for its wide national readership and influential coverage of current affairs.
  • C. VT
    VT is the commonly used abbreviation for Virginia Tech, a major public research university in Blacksburg, Virginia.
  • D. VT
    VT is the standard two-letter postal abbreviation used to represent the U.S. state of Vermont.
  • E. VT
    VT is the vehicle registration code used on license plates for vehicles registered in the Province of Viterbo in Italy.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: VG
Target entity description: VG is the vehicle registration code used on license plates for the district of Vorpommern-Greifswald in the German state of Mecklenburg-Vorpommern.
  • A. VG
    VG is the two-letter ISO 3166 country code assigned to the British Virgin Islands.
  • B. VG
    VG is a major Norwegian newspaper and online news outlet known for its wide national readership and influential coverage of current affairs.
  • C. VT
    VT is the commonly used abbreviation for Virginia Tech, a major public research university in Blacksburg, Virginia.
  • D. VT
    VT is the standard two-letter postal abbreviation used to represent the U.S. state of Vermont.
  • E. VT
    VT is the vehicle registration code used on license plates for vehicles registered in the Province of Viterbo in Italy.
  • F. None of above. chosen

How the object was described

The object's one-sentence description was generated by prompting gpt-5.1 with the object name and this triple as context.

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: VG
Triple: [Anklam, vehicleRegistrationCode, VG]
Generated description
VG is the vehicle registration code used on license plates for the district of Vorpommern-Greifswald in the German state of Mecklenburg-Vorpommern.

Provenance (5 batches)

Stage Batch ID Job type Status
creating batch_69ca8399ad2081909f8fa41d4314c215 elicitation completed
NER batch_69cc6724f3e4819092c6b13d80871e80 ner completed
NED1 batch_69cfc21405ac8190a7129c0877ef41b0 ned_source_triple completed
NED2 batch_69cfc44441208190a6b588c0609511fb ned_description completed
NEDg batch_69cfc31798ec81908c200dd17be5e785 nedg completed
Created at: March 30, 2026, 7 p.m.