Triple

T16466180
Position Surface form Disambiguated ID Type / Status
Subject Czech National Bank E399938 entity
Predicate abbreviation P43 FINISHED
Object ČNB E1215698 NE FINISHED

How this triple was built (2 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: ČNB | Statement: [Czech National Bank, abbreviation, ČNB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ČNB
Context triple: [Czech National Bank, abbreviation, ČNB]
  • A. CNB
    CNB is the Indian Railways station code for Kanpur Central, a major railway junction in Uttar Pradesh, India.
  • B. CNB chosen
    CNB is the central bank of the Czech Republic, responsible for monetary policy, financial stability, and issuance of the Czech currency.
  • C. CBNB
    CBNB is a specialized chemical database, likely focused on chemical substances and related data, accessible through the Engineering Village research platform.
  • D. Czech National Bank
    The Czech National Bank is the central monetary authority of the Czech Republic, responsible for issuing the national currency, conducting monetary policy, and overseeing financial stability.
  • E. CNBV
    CNBV is Mexico’s federal financial regulatory authority responsible for overseeing and supervising the country’s banking and securities systems.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_6a00581a11e881908681f68c26ee6a05 completed May 10, 2026, 10:04 a.m.
Created at: April 10, 2026, 5:11 a.m.