Triple

T10092667
Position Surface form Disambiguated ID Type / Status
Subject Borsod-Abaúj-Zemplén County E215779 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object B
B is the vehicle registration code used on license plates for vehicles registered in Borsod-Abaúj-Zemplén County in Hungary.
 E839866 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: B | Statement: [Borsod-Abaúj-Zemplén County, vehicleRegistrationCode, B]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: B
Context triple: [Borsod-Abaúj-Zemplén County, vehicleRegistrationCode, B]
  • A. B
    B is the designation of one of the main lines of the Paris RER commuter rail network, serving a major north–south axis through the Île-de-France region.
  • B. B
    B is the vehicle registration code used on license plates for Berlin, Germany.
  • C. B
    B is an early systems programming language developed at Bell Labs that served as a direct precursor to the C programming language.
  • D. B
    B is a New York City Subway service that runs on the IND Sixth Avenue Line, providing local and express service through Manhattan and Brooklyn.
  • E. Β
    Β is the Greek capital letter beta, commonly used in mathematics, science, and as part of Greek-letter names for organizations.
  • 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: B
Triple: [Borsod-Abaúj-Zemplén County, vehicleRegistrationCode, B]
Generated description
B is the vehicle registration code used on license plates for vehicles registered in Borsod-Abaúj-Zemplén County in Hungary.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: B
Target entity description: B is the vehicle registration code used on license plates for vehicles registered in Borsod-Abaúj-Zemplén County in Hungary.
  • A. B
    B is the designation of one of the main lines of the Paris RER commuter rail network, serving a major north–south axis through the Île-de-France region.
  • B. B
    B is the vehicle registration code used on license plates for Berlin, Germany.
  • C. B
    B is an early systems programming language developed at Bell Labs that served as a direct precursor to the C programming language.
  • D. B
    B is a New York City Subway service that runs on the IND Sixth Avenue Line, providing local and express service through Manhattan and Brooklyn.
  • E. Β
    Β is the Greek capital letter beta, commonly used in mathematics, science, and as part of Greek-letter names for organizations.
  • 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_69ca83a4947c8190823a7495dc5d96ed completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd05c3c0c8190927580717429a4e5 completed April 2, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b6aecc488190a9af098f687327ed completed April 5, 2026, 7:23 p.m.
NEDg Description generation batch_69d2b7bb88348190a39908b34b7419b2 completed April 5, 2026, 7:27 p.m.
NED2 Entity disambiguation (via description) batch_69d2b81e7b948190baa417186aac284b completed April 5, 2026, 7:29 p.m.
Created at: March 30, 2026, 9:01 p.m.