Triple

T14972006
Position Surface form Disambiguated ID Type / Status
Subject Kish City E373343 entity
Predicate usesCurrency P188 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: [Kish City, usesCurrency, Iranian rial]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Iranian rial
Context triple: [Kish City, usesCurrency, 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. Iraqi rupee
    The Iraqi rupee was the former currency of Iraq during the period of British administration in the early 20th century, before being succeeded by the Iraqi dinar.
  • D. Yemeni rial
    The Yemeni rial is the official monetary unit of Yemen, used for everyday transactions and issued by the Central Bank of Yemen.
  • E. 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.
  • 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_69d85ccbbcd48190acb56e7cf104d8ad completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6e767608190940eb6f16ea97451 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe8be8af688190832efb00695f8b20 completed May 9, 2026, 1:20 a.m.
Created at: April 10, 2026, 2:50 a.m.