Triple

T1765699
Position Surface form Disambiguated ID Type / Status
Subject Benina International Airport E38756 entity
Predicate usesCurrency P188 FINISHED
Object Libyan dinar E6453 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: Libyan dinar | Statement: [Benina International Airport, usesCurrency, Libyan dinar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Libyan dinar
Context triple: [Benina International Airport, usesCurrency, Libyan dinar]
  • A. Libyan dinar chosen
    The Libyan dinar is the official monetary unit of Libya, used for everyday transactions and economic activities throughout the country.
  • B. Algerian dinar
    The Algerian dinar is the official monetary unit of Algeria, issued and regulated by the Bank of Algeria.
  • 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. 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.
  • E. Syrian pound
    The Syrian pound is the official monetary unit of Syria, issued by the Central Bank of Syria and subdivided into 100 piastres.
  • 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_69a8862d562481908d7025a1c1f67c0d completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa6467c3f08190abc8a06269ede908 completed March 6, 2026, 5:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada0f37a28819086c35c9f7a07dea9 completed March 8, 2026, 4:16 p.m.
Created at: March 4, 2026, 7:31 p.m.