Triple

T2184349
Position Surface form Disambiguated ID Type / Status
Subject KZT E49115 entity
Predicate introducedAsCodeFor P9567 FINISHED
Object Kazakhstani tenge E8829 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: Kazakhstani tenge | Statement: [KZT, introducedAsCodeFor, Kazakhstani tenge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kazakhstani tenge
Context triple: [KZT, introducedAsCodeFor, Kazakhstani tenge]
  • A. Kazakhstani tenge chosen
    The Kazakhstani tenge is the official currency of Kazakhstan, introduced after the country gained independence from the Soviet Union.
  • B. Kyrgyzstani som
    The Kyrgyzstani som is the official national currency of Kyrgyzstan, issued by the country's central bank and used for all major financial transactions.
  • C. Turkmenistan manat
    The Turkmenistan manat is the official national currency of Turkmenistan, used for all domestic financial transactions and issued by the country's central bank.
  • D. Turkish lira
    The Turkish lira is the official currency of Turkey, used for everyday transactions, banking, and pricing throughout the country.
  • E. Azerbaijani manat
    The Azerbaijani manat is the official fiat currency of Azerbaijan, used for everyday transactions and issued by the Central Bank of Azerbaijan.
  • 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_69a88aa72d348190a9544bb5b8a4e71d completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbf0e92248190a9449fce4044438a completed March 7, 2026, 6 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae654016a88190a242d43491f0726c completed March 9, 2026, 6:14 a.m.
Created at: March 4, 2026, 7:45 p.m.