Triple

T13187362
Position Surface form Disambiguated ID Type / Status
Subject Balkan welaýaty E313890 entity
Predicate usesCurrency P188 FINISHED
Object Turkmen manat E78718 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: Turkmen manat | Statement: [Balkan welaýaty, usesCurrency, Turkmen manat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Turkmen manat
Context triple: [Balkan welaýaty, usesCurrency, Turkmen manat]
  • A. Turkmenistan manat chosen
    The Turkmenistan manat is the official national currency of Turkmenistan, used for all domestic financial transactions and issued by the country's central bank.
  • B. Azerbaijani manat
    The Azerbaijani manat is the official fiat currency of Azerbaijan, used for everyday transactions and issued by the Central Bank of Azerbaijan.
  • C. Kazakhstani tenge
    The Kazakhstani tenge is the official currency of Kazakhstan, introduced after the country gained independence from the Soviet Union.
  • D. 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.
  • E. Turkish lira
    The Turkish lira is the official currency of Turkey, used for everyday transactions, banking, and pricing throughout the country.
  • 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_69d806ae1e08819090d95bfe1538cc17 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c4b663c8190b0b18f0785f7b57d completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f716c1080c81908057f92f320a855b completed May 3, 2026, 9:34 a.m.
Created at: April 9, 2026, 9:15 p.m.