Triple

T3898583
Position Surface form Disambiguated ID Type / Status
Subject Bielsko-Biała E90431 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object SB
SB is the vehicle registration code used on license plates for cars registered in the city of Bielsko-Biała in southern Poland.
 E398180 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: SB | Statement: [Bielsko-Biała, vehicleRegistrationCode, SB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SB
Context triple: [Bielsko-Biała, vehicleRegistrationCode, SB]
  • A. SB
    SB was the communist-era secret police and intelligence service of the Polish People's Republic, known for surveillance, repression, and political control.
  • B. SBRY
    SBRY is the London Stock Exchange ticker symbol for J Sainsbury plc, one of the United Kingdom’s largest supermarket and retail chains.
  • C. SBT
    SBT (Simple Build Tool) is the standard build and project management tool for Scala, providing compilation, testing, dependency management, and packaging for Scala applications.
  • D. SRB
    SRB is the commonly used abbreviation for Sveriges Riksbank, the central bank of Sweden and the world’s oldest central bank.
  • E. SRB
    SRB is the three-letter ISO 3166-1 alpha-3 country code assigned to Serbia.
  • 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: SB
Triple: [Bielsko-Biała, vehicleRegistrationCode, SB]
Generated description
SB is the vehicle registration code used on license plates for cars registered in the city of Bielsko-Biała in southern Poland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SB
Target entity description: SB is the vehicle registration code used on license plates for cars registered in the city of Bielsko-Biała in southern Poland.
  • A. SB
    SB was the communist-era secret police and intelligence service of the Polish People's Republic, known for surveillance, repression, and political control.
  • B. SBRY
    SBRY is the London Stock Exchange ticker symbol for J Sainsbury plc, one of the United Kingdom’s largest supermarket and retail chains.
  • C. SBT
    SBT (Simple Build Tool) is the standard build and project management tool for Scala, providing compilation, testing, dependency management, and packaging for Scala applications.
  • D. SRB
    SRB is the commonly used abbreviation for Sveriges Riksbank, the central bank of Sweden and the world’s oldest central bank.
  • E. SRB
    SRB is the three-letter ISO 3166-1 alpha-3 country code assigned to Serbia.
  • 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_69aed95d315881908cbf1bf4a7215fbf completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeecefa3608190a7a20ed6df6a64b2 completed March 9, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51ca0f72c819084726f631a947f8c completed March 14, 2026, 8:30 a.m.
NEDg Description generation batch_69b5207c0cfc8190aae16e8a88348679 completed March 14, 2026, 8:46 a.m.
NED2 Entity disambiguation (via description) batch_69b52163bf888190b38f87d22ecd200e completed March 14, 2026, 8:50 a.m.
Created at: March 9, 2026, 3:21 p.m.