Triple

T10946582
Position Surface form Disambiguated ID Type / Status
Subject Brașov County E258611 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object BV
BV is the vehicle registration code used on license plates for vehicles registered in Brașov County, Romania.
 E895653 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: BV | Statement: [Brașov County, vehicleRegistrationCode, BV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BV
Context triple: [Brașov County, vehicleRegistrationCode, BV]
  • A. BV
    BV is the two-letter ISO 3166 country code assigned to Bouvet Island, a remote uninhabited Norwegian territory in the South Atlantic Ocean.
  • B. BVC
    BVC is the IATA airport code for Aristides Pereira International Airport serving Boa Vista Island in Cape Verde.
  • C. BVL
    BVL is Germany’s Federal Office of Consumer Protection and Food Safety, the national authority responsible for ensuring food safety and protecting consumer health.
  • D. BD
    BD is the currency symbol used to denote the Bahraini dinar, the official monetary unit of Bahrain.
  • E. BD
    BD is the UK postcode area covering Bradford and surrounding parts of West Yorkshire.
  • 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: BV
Triple: [Brașov County, vehicleRegistrationCode, BV]
Generated description
BV is the vehicle registration code used on license plates for vehicles registered in Brașov County, Romania.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BV
Target entity description: BV is the vehicle registration code used on license plates for vehicles registered in Brașov County, Romania.
  • A. BV
    BV is the two-letter ISO 3166 country code assigned to Bouvet Island, a remote uninhabited Norwegian territory in the South Atlantic Ocean.
  • B. BVC
    BVC is the IATA airport code for Aristides Pereira International Airport serving Boa Vista Island in Cape Verde.
  • C. BVL
    BVL is Germany’s Federal Office of Consumer Protection and Food Safety, the national authority responsible for ensuring food safety and protecting consumer health.
  • D. BD
    BD is the currency symbol used to denote the Bahraini dinar, the official monetary unit of Bahrain.
  • E. BD
    BD is the UK postcode area covering Bradford and surrounding parts of West Yorkshire.
  • 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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770eaaea08190b06e508600d8a305 completed April 9, 2026, 9:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23c3c885081908edcece772b2e759 completed April 17, 2026, 1:57 p.m.
NEDg Description generation batch_69e24542b4f081909c97621f04da8ecc completed April 17, 2026, 2:35 p.m.
NED2 Entity disambiguation (via description) batch_69e248f7f96481909fa6e6cd07891566 completed April 17, 2026, 2:51 p.m.
Created at: April 8, 2026, 9:23 p.m.