Triple

T1658427
Position Surface form Disambiguated ID Type / Status
Subject Central Bank of Iran E35851 entity
Predicate currencyIssued P6033 FINISHED
Object Iranian rial E21294 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: Iranian rial | Statement: [Central Bank of Iran, currencyIssued, Iranian rial]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Iranian rial
Context triple: [Central Bank of Iran, currencyIssued, Iranian rial]
  • A. Iranian rial chosen
    The Iranian rial is the official national currency of Iran, known for its high inflation and low international exchange value.
  • 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. Yemeni rial
    The Yemeni rial is the official monetary unit of Yemen, used for everyday transactions and issued by the Central Bank of Yemen.
  • D. Iraqi dinar
    The Iraqi dinar is the official fiat currency of Iraq, issued by the Central Bank of Iraq and subdivided into 1,000 fils.
  • E. Saudi riyal
    The Saudi riyal is the official monetary unit of Saudi Arabia, used nationwide for all financial transactions and pegged to the US dollar.
  • 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_69a88606aa808190aa0b421b4271f220 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90aafe5e881908158fab83998fd07 completed March 5, 2026, 4:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad6827ff2c8190b7c9af9926a7452c completed March 8, 2026, 12:14 p.m.
Created at: March 4, 2026, 7:29 p.m.