Triple

T6428087
Position Surface form Disambiguated ID Type / Status
Subject Brčko District E128108 entity
Predicate hasVehicleRegistrationCode P1173 FINISHED
Object BRČ
BRČ is the vehicle registration code used for motor vehicles registered in the Brčko District of Bosnia and Herzegovina.
 E592439 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: BRČ | Statement: [Brčko District, hasVehicleRegistrationCode, BRČ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BRČ
Context triple: [Brčko District, hasVehicleRegistrationCode, BRČ]
  • A. Brn
    Brn is the station code used to identify Baarn railway station in the Netherlands’ rail network.
  • B. Rousínov
    Rousínov is a small town in the South Moravian Region of the Czech Republic, known for its traditional furniture-making industry and proximity to the city of Brno.
  • C. Dukla
    Dukla is a small historic town in southeastern Poland, near the Slovak border, known as a gateway through the Carpathian Mountains and for its role in regional trade and wartime history.
  • D. Dukla
    Dukla is a Slovak professional ice hockey club based in Trenčín, known for competing in the country’s top league and developing numerous prominent players.
  • E. Brněnec
    Brněnec is a village in the Czech Republic known as the location of Oskar Schindler’s factory where many Jewish workers, later called the Schindlerjuden, were saved during the Holocaust.
  • 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: BRČ
Triple: [Brčko District, hasVehicleRegistrationCode, BRČ]
Generated description
BRČ is the vehicle registration code used for motor vehicles registered in the Brčko District of Bosnia and Herzegovina.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BRČ
Target entity description: BRČ is the vehicle registration code used for motor vehicles registered in the Brčko District of Bosnia and Herzegovina.
  • A. Brn
    Brn is the station code used to identify Baarn railway station in the Netherlands’ rail network.
  • B. Rousínov
    Rousínov is a small town in the South Moravian Region of the Czech Republic, known for its traditional furniture-making industry and proximity to the city of Brno.
  • C. Dukla
    Dukla is a small historic town in southeastern Poland, near the Slovak border, known as a gateway through the Carpathian Mountains and for its role in regional trade and wartime history.
  • D. Dukla
    Dukla is a Slovak professional ice hockey club based in Trenčín, known for competing in the country’s top league and developing numerous prominent players.
  • E. Brněnec
    Brněnec is a village in the Czech Republic known as the location of Oskar Schindler’s factory where many Jewish workers, later called the Schindlerjuden, were saved during the Holocaust.
  • 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_69c00838de888190af2eec0b80495efa completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c06922a27881908c5571f2aa31e0c1 completed March 22, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c640e678608190b5a1dcd1076bc1f2 completed March 27, 2026, 8:33 a.m.
NEDg Description generation batch_69c641d6024c8190996aae40851a3b73 completed March 27, 2026, 8:37 a.m.
NED2 Entity disambiguation (via description) batch_69c6425e0a348190bc1eb90eb8c00597 completed March 27, 2026, 8:39 a.m.
Created at: March 22, 2026, 4:44 p.m.