Triple

T2802475
Position Surface form Disambiguated ID Type / Status
Subject Pavlodar E53177 entity
Predicate usesCurrency P188 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: [Pavlodar, usesCurrency, Kazakhstani tenge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kazakhstani tenge
Context triple: [Pavlodar, usesCurrency, 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_69ab495a90788190941b6917e1eca3a6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abde12b33481908b276760a922db9c completed March 7, 2026, 8:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69afce92b40c8190a6ed3e6c06f15c79 completed March 10, 2026, 7:56 a.m.
Created at: March 6, 2026, 9:58 p.m.