Triple

T12354118
Position Surface form Disambiguated ID Type / Status
Subject Bulgarian National Bank E294564 entity
Predicate abbreviation P43 FINISHED
Object БНБ
БНБ is the central bank of Bulgaria, responsible for issuing the national currency and overseeing the country’s monetary and financial stability.
E979834 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: БНБ | Statement: [Bulgarian National Bank, abbreviation, БНБ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: БНБ
Context triple: [Bulgarian National Bank, abbreviation, БНБ]
  • A. NBU
    NBU is the central bank of Ukraine, responsible for the country’s monetary policy, currency stability, and regulation of the banking system.
  • B. NBU
    NBU is the former IATA airport code for Naval Air Station Glenview, a decommissioned U.S. Navy air station in Illinois.
  • C. HBN
    HBN is the National Rail station code assigned to Holborn station in London.
  • D. BNK
    BNK is the IATA airport code for Ballina Byron Gateway Airport, a regional airport serving the Ballina and Byron Bay areas in New South Wales, Australia.
  • E. BN
    BN is the vehicle registration code used on license plates for the German city of Bonn.
  • 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: БНБ
Triple: [Bulgarian National Bank, abbreviation, БНБ]
Generated description
БНБ is the central bank of Bulgaria, responsible for issuing the national currency and overseeing the country’s monetary and financial stability.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: БНБ
Target entity description: БНБ is the central bank of Bulgaria, responsible for issuing the national currency and overseeing the country’s monetary and financial stability.
  • A. NBU
    NBU is the central bank of Ukraine, responsible for the country’s monetary policy, currency stability, and regulation of the banking system.
  • B. NBU
    NBU is the former IATA airport code for Naval Air Station Glenview, a decommissioned U.S. Navy air station in Illinois.
  • C. HBN
    HBN is the National Rail station code assigned to Holborn station in London.
  • D. BNK
    BNK is the IATA airport code for Ballina Byron Gateway Airport, a regional airport serving the Ballina and Byron Bay areas in New South Wales, Australia.
  • E. BN
    BN is the vehicle registration code used on license plates for the German city of Bonn.
  • 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_69d6ab6ccbec8190b09e2d357aa80064 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f8bc60c8190b0ceb84093e70db4 completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62ab2dc30819082b12fa35f585762 completed May 2, 2026, 4:47 p.m.
NEDg Description generation batch_69f62be420308190bcb00d8b37b09ea2 completed May 2, 2026, 4:52 p.m.
NED2 Entity disambiguation (via description) batch_69f63050f5d48190881688d12c4c1819 completed May 2, 2026, 5:11 p.m.
Created at: April 8, 2026, 9:54 p.m.