Triple

T274528
Position Surface form Disambiguated ID Type / Status
Subject Tehran E5216 entity
Predicate currency P245 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: [Tehran, currency, Iranian rial]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Iranian rial
Context triple: [Tehran, currency, 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. Tunisian dinar
    The Tunisian dinar is the official monetary unit of Tunisia, subdivided into 1,000 millimes and used for all domestic financial transactions.
  • C. United Arab Emirates dirham
    The United Arab Emirates dirham is the official currency of the United Arab Emirates, widely used in trade, tourism, and financial transactions across the country.
  • D. Ottoman lira
    The Ottoman lira was the principal monetary unit of the late Ottoman Empire, used from the mid-19th century until the empire’s dissolution in the early 20th century.
  • E. Algerian dinar
    The Algerian dinar is the official monetary unit of Algeria, issued and regulated by the Bank of Algeria.
  • 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_69a257e6c8788190987dfe705ca2912a completed Feb. 28, 2026, 2:50 a.m.
NER Named-entity recognition batch_69a25dd0a99c819089968a5400c58c5f completed Feb. 28, 2026, 3:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69a391506e2881909fa399aab00d3ac9 completed March 1, 2026, 1:07 a.m.
Created at: Feb. 28, 2026, 2:59 a.m.