Triple

T16126618
Position Surface form Disambiguated ID Type / Status
Subject National Bank of the Kyrgyz Republic E391287 entity
Predicate hasAbbreviation P43 FINISHED
Object NBKR
NBKR is the central bank of Kyrgyzstan responsible for the country’s monetary policy, financial stability, and regulation of the banking sector.
 E1196334 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: NBKR | Statement: [National Bank of the Kyrgyz Republic, hasAbbreviation, NBKR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NBKR
Context triple: [National Bank of the Kyrgyz Republic, hasAbbreviation, NBKR]
  • A. NBK
    NBK is the central bank of Kazakhstan, responsible for the country’s monetary policy, financial stability, and regulation of the banking sector.
  • B. KNB
    KNB is the abbreviation for Khazanah Nasional, Malaysia’s sovereign wealth fund and strategic investment arm of the government.
  • C. BKR
    BKR was the abbreviated name of the People's Security Agency, an early post-World War II Indonesian security and defense organization.
  • D. BKR
    BKR is the postal code prefix used for addresses in the town of Birkirkara in Malta.
  • E. BKR
    BKR is the station code for Beckenham Road tram stop on the Tramlink network in south London, England.
  • 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: NBKR
Triple: [National Bank of the Kyrgyz Republic, hasAbbreviation, NBKR]
Generated description
NBKR is the central bank of Kyrgyzstan responsible for the country’s monetary policy, financial stability, and regulation of the banking sector.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NBKR
Target entity description: NBKR is the central bank of Kyrgyzstan responsible for the country’s monetary policy, financial stability, and regulation of the banking sector.
  • A. NBK
    NBK is the central bank of Kazakhstan, responsible for the country’s monetary policy, financial stability, and regulation of the banking sector.
  • B. KNB
    KNB is the abbreviation for Khazanah Nasional, Malaysia’s sovereign wealth fund and strategic investment arm of the government.
  • C. BKR
    BKR is the postal code prefix used for addresses in the town of Birkirkara in Malta.
  • D. BKR
    BKR is the station code for Beckenham Road tram stop on the Tramlink network in south London, England.
  • E. BKR
    BKR was the abbreviated name of the People's Security Agency, an early post-World War II Indonesian security and defense organization.
  • 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e20204fb408190b58d49d0d64bb740 completed April 17, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff2abf9b08190a375abc842a0e7d0 completed May 10, 2026, 2:51 a.m.
NEDg Description generation batch_69fff35ded288190b4d261358f1661cb completed May 10, 2026, 2:54 a.m.
NED2 Entity disambiguation (via description) batch_69fff3f2760c8190a58fedc2798614ae completed May 10, 2026, 2:56 a.m.
Created at: April 10, 2026, 5 a.m.