Triple

T3992280
Position Surface form Disambiguated ID Type / Status
Subject Central Bank of Tunisia E87018 entity
Predicate currency P245 FINISHED
Object Tunisian dinar E14631 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: Tunisian dinar | Statement: [Central Bank of Tunisia, currency, Tunisian dinar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tunisian dinar
Context triple: [Central Bank of Tunisia, currency, Tunisian dinar]
  • A. Tunisian dinar chosen
    The Tunisian dinar is the official monetary unit of Tunisia, subdivided into 1,000 millimes and used for all domestic financial transactions.
  • B. Algerian dinar
    The Algerian dinar is the official monetary unit of Algeria, issued and regulated by the Bank of Algeria.
  • C. Tunisian franc
    The Tunisian franc was the former national currency of Tunisia used before the adoption of the Tunisian dinar.
  • D. Libyan dinar
    The Libyan dinar is the official monetary unit of Libya, used for everyday transactions and economic activities throughout the country.
  • E. Dirham
    The dirham is a historical silver coin and monetary unit widely used in the Islamic world, originating as a standard currency under early Muslim caliphates.
  • 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_69aed94118148190975e6aa4e554cde9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefa1c476c819094063f654aa015c4 completed March 9, 2026, 4:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54035e92c81909dc2be18719b062c completed March 14, 2026, 11:02 a.m.
Created at: March 9, 2026, 3:33 p.m.