Triple

T17577220
Position Surface form Disambiguated ID Type / Status
Subject El Alia E428101 entity
Predicate usesCurrency P188 FINISHED
Object Tunisian dinar NE NERFINISHED

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: [El Alia, usesCurrency, Tunisian dinar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tunisian dinar
Context triple: [El Alia, usesCurrency, 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. Tunisian riyal
    The Tunisian riyal was a historical currency used in Tunisia during the Muradid dynasty period in the early modern era.
  • C. Algerian dinar
    The Algerian dinar is the official monetary unit of Algeria, issued and regulated by the Bank of Algeria.
  • D. Tunisian franc
    The Tunisian franc was the former national currency of Tunisia used before the adoption of the Tunisian dinar.
  • E. Libyan dinar
    The Libyan dinar is the official monetary unit of Libya, used for everyday transactions and economic activities throughout the country.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e463ca76848190a7beb6deb4b0f1a4 completed April 19, 2026, 5:10 a.m.
Created at: April 10, 2026, 5:50 a.m.