Triple

T8931674
Position Surface form Disambiguated ID Type / Status
Subject IQD E212667 entity
Predicate currencyUnit P245 FINISHED
Object dinar E44082 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: dinar | Statement: [IQD, currencyUnit, dinar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: dinar
Context triple: [IQD, currencyUnit, dinar]
  • A. Dinar chosen
    The Dinar is a historic gold coin and monetary unit widely used across the Islamic world, originating as the standard currency of early Muslim empires.
  • B. 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.
  • C. Tunisian dinar
    The Tunisian dinar is the official monetary unit of Tunisia, subdivided into 1,000 millimes and used for all domestic financial transactions.
  • D. Arab Accounting Dinar
    The Arab Accounting Dinar is a unit of account used by the Arab Monetary Fund for financial reporting and settlement among its member states.
  • E. daric
    The daric was a high-purity gold coin of the Achaemenid Persian Empire, widely used across its territories and influential in ancient Near Eastern and Greek economies.
  • 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_69ca8395c438819087d7cb844ab5990c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc668cdc0c8190b908fd23cbdef534 completed April 1, 2026, 12:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba63544081909394500f28b34ccb completed April 3, 2026, 1:02 p.m.
Created at: March 30, 2026, 6:57 p.m.