Triple

T16618709
Position Surface form Disambiguated ID Type / Status
Subject BCT E403762 entity
Predicate currencyIssued P6033 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: [BCT, currencyIssued, Tunisian dinar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tunisian dinar
Context triple: [BCT, currencyIssued, 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3754bc4cc8190a586732fc6507b40 completed April 18, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0084b5afc081908d16f0b43fff20fc completed May 10, 2026, 1:14 p.m.
Created at: April 10, 2026, 5:17 a.m.