Triple

T499929
Position Surface form Disambiguated ID Type / Status
Subject Algiers E10377 entity
Predicate currency P245 FINISHED
Object Algerian dinar E31691 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: Algerian dinar | Statement: [Algiers, currency, Algerian dinar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Algerian dinar
Context triple: [Algiers, currency, Algerian dinar]
  • A. Algerian dinar chosen
    The Algerian dinar is the official monetary unit of Algeria, issued and regulated by the Bank of Algeria.
  • B. Libyan dinar
    The Libyan dinar is the official monetary unit of Libya, used for everyday transactions and economic activities throughout the country.
  • C. Moroccan dirham
    The Moroccan dirham is the official monetary unit of Morocco, used for everyday transactions and issued by the country's central bank.
  • D. Tunisian dinar
    The Tunisian dinar is the official monetary unit of Tunisia, subdivided into 1,000 millimes and used for all domestic financial transactions.
  • 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_69a2e847df8481909239ec08ccf1e376 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f13096248190a622a58dcf540b00 completed Feb. 28, 2026, 1:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a48543f1948190b710628bf53cdf01 completed March 1, 2026, 6:28 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.