Triple

T9712983
Position Surface form Disambiguated ID Type / Status
Subject qiran E235065 entity
Predicate replacedBy P101 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: [qiran, replacedBy, Iranian rial]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Iranian rial
Context triple: [qiran, replacedBy, 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_69ca84cd8fa0819090a5e243ceb37003 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e0705f8819095852263009c28c5 completed April 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19f8c26dc8190a6fa21bde27ba6fa completed April 4, 2026, 11:32 p.m.
Created at: March 30, 2026, 8:19 p.m.