Triple

T16466179
Position Surface form Disambiguated ID Type / Status
Subject Czech National Bank E399938 entity
Predicate abbreviation P43 FINISHED
Object CNB
CNB is the central bank of the Czech Republic, responsible for monetary policy, financial stability, and issuance of the Czech currency.
E1215698 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: CNB | Statement: [Czech National Bank, abbreviation, CNB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CNB
Context triple: [Czech National Bank, abbreviation, CNB]
  • A. CNB
    CNB is the Indian Railways station code for Kanpur Central, a major railway junction in Uttar Pradesh, India.
  • B. CBNB
    CBNB is a specialized chemical database, likely focused on chemical substances and related data, accessible through the Engineering Village research platform.
  • C. CNBV
    CNBV is Mexico’s federal financial regulatory authority responsible for overseeing and supervising the country’s banking and securities systems.
  • D. BNM
    BNM is the central bank of Malaysia, responsible for issuing currency, formulating monetary policy, and overseeing the country’s financial system.
  • E. NBU
    NBU is the central bank of Ukraine, responsible for the country’s monetary policy, currency stability, and regulation of the banking system.
  • 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: CNB
Triple: [Czech National Bank, abbreviation, CNB]
Generated description
CNB is the central bank of the Czech Republic, responsible for monetary policy, financial stability, and issuance of the Czech currency.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: CNB
Target entity description: CNB is the central bank of the Czech Republic, responsible for monetary policy, financial stability, and issuance of the Czech currency.
  • A. CNB
    CNB is the Indian Railways station code for Kanpur Central, a major railway junction in Uttar Pradesh, India.
  • B. CBNB
    CBNB is a specialized chemical database, likely focused on chemical substances and related data, accessible through the Engineering Village research platform.
  • C. CNBV
    CNBV is Mexico’s federal financial regulatory authority responsible for overseeing and supervising the country’s banking and securities systems.
  • D. BNM
    BNM is the central bank of Malaysia, responsible for issuing currency, formulating monetary policy, and overseeing the country’s financial system.
  • E. NBU
    NBU is the central bank of Ukraine, responsible for the country’s monetary policy, currency stability, and regulation of the banking system.
  • 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_69d87f2dac988190b74d6e185fa88ba4 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32dcc52f88190958b408e49cfb512 completed April 18, 2026, 7:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f575ed48190a24d6af74565189d completed May 10, 2026, 9:26 a.m.
NEDg Description generation batch_6a00525b579c81909df181059d0e3db8 completed May 10, 2026, 9:39 a.m.
NED2 Entity disambiguation (via description) batch_6a0052ee614881908eb8f7c031ff8f7c completed May 10, 2026, 9:42 a.m.
Created at: April 10, 2026, 5:11 a.m.